Highly sophisticated capabilities of artificial intelligence (AI) have skyrocketed its popularity across many industry sectors globally. The public sector is one of these. Many cities around the world are trying to position themselves as leaders of urban innovation through the development and deployment of AI systems. Likewise, increasing numbers of local government agencies are attempting to utilise AI technologies in their operations to deliver policy and generate efficiencies in highly uncertain and complex urban environments. While the popularity of AI is (...) on the rise in urban policy circles, there is limited understanding and lack of empirical studies on the city manager perceptions concerning urban AI systems. Bridging this gap is the rationale of this study. The methodological approach adopted in this study is twofold. First, the study collects data through semi-structured interviews with city managers from Australia and the US. Then, the study analyses the data using the summative content analysis technique with two data analysis software. The analysis identifies the following themes and generates insights into local government services: AI adoption areas, cautionary areas, challenges, effects, impacts, knowledge basis, plans, preparedness, roadblocks, technologies, deployment timeframes, and usefulness. The study findings inform city managers in their efforts to deploy AI in their local government operations, and offer directions for prospective research. (shrink)

This chapter takes a longitudinal approach to the survey of intelligence research published in Australia, or by Australian authors overseas, in the decade 2007–2017, analyses it, and compares these findings with trends overseas. It then undertakes a quantitative and qualitative survey of intelligence education programs at Australian and Western tertiary institutions in order to show how Australia fares in an international context. It concludes by offering some suggestions on the way ahead for Intelligence Studies in Australia.

This essay introduces this special issue on virtue ethics in relation to military AI. It describes the current situation of military AI ethics as following that of AI ethics in general, caught between consequentialism and deontology. Virtue ethics serves as an alternative that can address some of the weaknesses of these dominant forms of ethics. The essay describes how the articles in the issue exemplify the value of virtue-related approaches for these questions, before ending with thoughts for further research.

This report examines a study focused on current interest areas and themes of business ethics in Australia as discussed in the Australian media (major national and State newspapers) across the years 2019–2022, using content analysis and stakeholder frame of focus. The identified themes are then compared with themes identified in the Global Survey of Business Ethics 2022–2024. These themes provide a framework to compare with themes identified as important for teaching and research through a survey of Australian university educators (...) in business schools involved in ethics teaching and research in South Australia and Western Australia. Findings indicate that ethics and ethical concerns appear across a range of media publications in Australia which in turn is placing pressure on businesses to respond to this ethics talk in the media in explaining or justifying their actions. Although no particular pattern is identified from responses, some topics are gaining more prominence such as climate change and artificial intelligence, both in the media and in university courses and research. Topics of discussion were ranked from very important to important. It is concluded that ethical issues are important for Australian business and business is responding. Key ethical issues include climate change and sustainability, governance, government and transparency, and organizational culture with ethical issues of interest to Australia featuring including sport, corporate misconduct, and Indigenous issues. (shrink)

This paper explores the evolving landscape of business ethics in Japan, with a particular focus on recent research trends and methodologies. It begins by examining historical influences on Japanese corporate governance and business ethics, but places greater emphasis on findings from a survey of Japanese business ethics scholars. Conducted as part of the Global Survey for Business Ethics (GSBE), the survey targeted researchers affiliated with the Japan Society for Business Ethics (JABES) from 1994 to 2022. This paper discusses how business (...) ethics research has developed in Japan, largely conducted in Japanese, and highlights key areas of focus such as compliance, CSR, and corporate governance. Using text analysis of research paper titles, it identifies trends across different decades, noting a shift toward more empirical studies and topics like AI ethics, human rights, and sustainability in recent years. The survey also reveals the broader roles of Japanese business ethics researchers, ranging from academic teaching to consulting and policy development. Looking ahead, the chapter highlights emerging research themes, including the ethical implications of artificial intelligence, transparency, and supply chain management, while acknowledging that Japan’s unique corporate context adds distinct dimensions to these global issues. (shrink)

Law must evolve to play its part in addressing the anthropogenic threats of climate change and biodiversity loss. Lawyers have a key role to play in assisting that evolution, and the ethics that govern lawyers’ work will play a large part in determining its success. This article explains how four core approaches to legal ethics support lawyers in their work to address climate change and to facilitate more sustainable ways of living.

Since Foucault introduced the notion of biopolitics, it has been fiercely debated—usually in highly generalized terms—how to interpret and use this concept. This article argues that these discussions need to be situated, as biopolitics have features that do not travel from one site to the next. This becomes apparent if we attend to an aspect of biopolitics that has only received scant attention so far: the knowledge practices required to constitute populations as intelligible objects of government. To illustrate this point, (...) the article focuses on processes of biopolitical bordering: the delineation of the target population that is to be known via statistical practices. Drawing on the example of Estonia I show that methodological decisions involved in this work have important biopolitical implications as they affect the size and composition of the population, thus shaping the design of programmes of government aiming at its regulation. (shrink)

New technologies with military applications may demand new modes of governance. In this article, we develop a taxonomy of technology governance forms, outline their strengths, and red-team their weaknesses. In particular, we consider the challenges and opportunities posed by advancing artificial intelligence, which is likely to have substantial dual-use properties. We conclude that subnational governance, though prevalent and mitigating some risks, is insufficient when the individual rewards from societally harmful actions outweigh normative sanctions, as is likely to be the case (...) with AI. Nationally enforced standards are promising ways to govern AI deployment, but they are less viable in the “race-to-the-bottom” environments that are becoming common. When it comes to powerful technologies with military implications, there is only one multilateral option with a strong historical precedent: a non-proliferation plus norms-of-use regime, which we call NPT+. We believe that a non-proliferation regime may, therefore, be the necessary foundation for AI governance. However, AI may exhibit characteristics that would make a non-proliferation regime less effective than it has proven for nuclear weapons. As an alternative, verification-backed restrictions on AI development and use would address more risks, but they face challenges in the case of advanced AI, and we show how these challenges may not have technical solutions. Perhaps more importantly, we show that there is no clear example of major powers restricting the development of a powerful military technology when that technology lacks a ready substitute. We, therefore, turn to a final alternative, International Monopoly, which was the preferred solution of many scholars and policymakers in the early nuclear era. It should be considered again for governing AI: a monopoly would require less-invasive monitoring, though at the possible cost of eroding national sovereignty. Ultimately, we conclude that it is too soon to tell whether a non-proliferation regime, a verification-based regime, or an International Monopoly is most feasible for governing AI. Nonetheless, a variety of policies would yield a high return across all three scenarios, and we conclude by identifying some of these steps that could be taken today. (shrink)

We are living in an algorithmic age where mathematics and computer science are coming together in powerful new ways to influence, shape and guide our behaviour and the governance of our societies. As these algorithmic governance structures proliferate, it is vital that we ensure their effectiveness and legitimacy. That is, we need to ensure that they are an effective means for achieving a legitimate policy goal that are also procedurally fair, open and unbiased. But how can we ensure that algorithmic (...) governance structures are both? This article shares the results of a collective intelligence workshop that addressed exactly this question. The workshop brought together a multidisciplinary group of scholars to consider barriers to legitimate and effective algorithmic governance and the research methods needed to address the nature and impact of specific barriers. An interactive management workshop technique was used to harness the collective intelligence of this multidisciplinary group. This method enabled participants to produce a framework and research agenda for those who are concerned about algorithmic governance. We outline this research agenda below, providing a detailed map of key research themes, questions and methods that our workshop felt ought to be pursued. This builds upon existing work on research agendas for critical algorithm studies in a unique way through the method of collective intelligence. (shrink)

This paper seeks to remedy in part the lack of empirical studies on practices of.political speech in Australia by investigating local governments’ powers and perceptions of their role in regulating practices of political speech. It reports on the results of an empirical study conducted in 2003–04 of local government regulation of political speech within the public space constituted by pedestrian malls. Regulatory provisions are considered in the context of attitudes towards, and experiences of, practices of political speech within these (...) arenas. I argue that local governments possess wide ranging powers to regulate political speech in pedestrian malls, but further and more importantly that those powers are mediated via their inconsistent and at times arbitrary application, combined with a cultural hostility to political speech. We therefore see a precarious level of protection of opportunities for political communication, as well as an important politico-cultural component in determining the fate of political speech in Australia. I conclude by outlining an alternative ‘enabling principle’ against which local governments may reconsider and reconfigure their regulatory practices in relation to this important political freedom. (shrink)

Prior to its election to office in 2007, the Australian Labor Party announced a commitment to introduce Trade Training Centres (TTCs) into all Australian secondary schools as an initiative of its Education Revolution. TTCs were proposed as a key element of Federal Labor's education and training policy that aimed to manage future risks to Australia's competitiveness in the emerging global economy and to support school-to-employment transitions for young people. This analysis adopts a governmentality framework to conceptualise the Federal Government's (...) introduction of TTCs alternatively as a key strategy for nationalising social investment politics in Australia. The paper draws on recent Australian policy documents to argue that TTCs are social technologies that work to open up social spaces in and around schools for governing relationships between schools and other community stakeholders, particularly businesses and families. The paper concludes by examining policy implications, including those of social justice, for promoting school community partnerships through TTCs. (shrink)

This book offers a synthesis of investigations on the ethics, governance and policies affecting the design, development and deployment of artificial intelligence. Each chapter can be read independently, but the overall structure of the book provides a complementary and detailed understanding of some of the most pressing issues brought about by AI and digital innovation. Given its modular nature, it is a text suitable for readers who wish to gain a reliable orientation about the ethics of AI and for experts (...) who wish to know more about specific areas of the current debate. (shrink)

In this paper, we compare reparation policies in Australia and Argentina. We analyse the difference between the reparations given by their respective governments to the Argentinian victims of the ‘Dirty War’ and to the ‘Stolen Generations’ in Australia. The aim of this paper is to compare the experience of victims in Argentina and Australia in relation to reparations to demonstrate that using only one type of reparations, either material or symbolic, is unsatisfactory for victims and does not (...) repair the harm done. We also argue that the timing and the context in which reparations are offered can play a role in the victims’ satisfaction with the governments’ reparation policies. (shrink)

The recently retired Homeland Security Advisory System constituted a main means by which the intensity of the terrorist threat was communicated to the United States' public. An examination of its inner workings and its social impact shows the System as part of a modality of government: an encapsulation of intelligence-led governmentality. Informed by the political philosophy of Cornelius Castoriadis, I contextualise this modality as a settling of fundamental tensions inherent in modern sociopolitical culture, those between the principle of social and (...) personal autonomy, and that of rational mastery of people and nature. These principles are strongly connected to democratic and oligarchic political organisation, respectively, and they give rise to different justifications of state authority. In turn, they pertain to the fundamental question of whether scientific expertise on politics is possible. (shrink)

This is the first professional academic work in China to discuss artificial intelligence and blockchain together. Artificial intelligence is a productivity revolution, and its development has a significant and profound impact on global changes. However, at the same time, its development also brings a series of challenges to human society, such as privacy, security, and fairness issues. Therefore, the significance of blockchain is even more prominent. Blockchain is a revolution in production relations, which will propose important solutions to the challenges (...) of privacy, security, and fairness that arise after the development of artificial intelligence. The book not only discusses the problems currently faced by the development of artificial intelligence, as well as the new opportunities and challenges that artificial intelligence brings to future global governance, but also explains the further development direction of the intelligent revolution from the perspective of blockchain. (shrink)

Although the concept of “AI governance” is frequently used in the debate, it is still rather undertheorized. Often it seems to refer to the mechanisms and structures needed to avoid “bad” outcomes and achieve “good” outcomes with regard to the ethical problems artificial intelligence is thought to actualize. In this article we argue that, although this outcome-focused view captures one important aspect of “good governance,” its emphasis on effects runs the risk of overlooking important procedural aspects of good AI governance. (...) One of the most important properties of good AI governance is political legitimacy. Starting out from the assumptions that AI governance should be seen as global in scope and that political legitimacy requires at least a democratic minimum, this article has a twofold aim: to develop a theoretical framework for theorizing the political legitimacy of global AI governance, and to demonstrate how it can be used as a compass for critially assessing the legitimacy of actual instances of global AI governance. Elaborating on a distinction between “governance by AI” and “governance of AI” in relation to different kinds of authority and different kinds of decision-making leads us to the conclusions that much of the existing global AI governance lacks important properties necessary for political legitimacy, and that political legitimacy would be negatively impacted if we handed over certain forms of decision-making to artificial intelligence systems. (shrink)

With the continuous development of the era of big data, community management plays an important role in people’s mental health. Improve people’s mental health through the use of big data to improve governance of the community. To solve the problem, sequence segmentation is used in feature extraction, histogram absolute difference calculation and K-means intelligent algorithm, to analyze the existing problems one by one. Research shows that it is possible to systematically govern the community through big data and intelligent computing, so (...) that community residents can live a higher quality of life. In order to get rid of psychological problems, it can be solved by establishing special psychological support institutions in the community and strengthening the role of the government in community management. With the continuous development of big data, the application of big data and intelligence in community governance and mental health community is a trend. With the continuous progress of society, it also brings pressure to people, which leads to the decline of people’s mental health quality. We need to do something to improve community governance and people’s mental health. (shrink)

THE CASE FOR GOVERNMENT BY ARTIFICIAL INTELLIGENCE. Tired of election madness? The rhetoric of politicians? Their unreliable promises? And less than good government? -/- Until recently, it hasn’t been hard for people to give up control to computers. Not very many people miss the effort and time required to do calculations by hand, to keep track of their finances, or to complete their tax returns manually. But relinquishing direct human control to self-driving cars is expected to be more of a (...) challenge, despite the predicted decrease in vehicle accidents thanks to artificial intelligence that isn’t subject to human distractions and errors of judgment. -/- If turning vehicle control over to artificial intelligence is a challenge, it is a very mild one compared with the idea that we might one day recognize and want to implement the advantages of human government by AI. But, like autonomous vehicle control, government by AI is likely to offer decided benefits. -/- In other publications, the author has studied a variety of widespread human limitations that, throughout human history, have led to much human suffering as well as ecological destruction. For the first time, these psychological and cognitive human shortcomings are taken into account in an essay that makes the case for government by artificial intelligence. (shrink)

Accountability is a cornerstone of the governance of artificial intelligence (AI). However, it is often defined too imprecisely because its multifaceted nature and the sociotechnical structure of AI systems imply a variety of values, practices, and measures to which accountability in AI can refer. We address this lack of clarity by defining accountability in terms of answerability, identifying three conditions of possibility (authority recognition, interrogation, and limitation of power), and an architecture of seven features (context, range, agent, forum, standards, process, (...) and implications). We analyse this architecture through four accountability goals (compliance, report, oversight, and enforcement). We argue that these goals are often complementary and that policy-makers emphasise or prioritise some over others depending on the proactive or reactive use of accountability and the missions of AI governance. (shrink)

National Artificial Intelligence (AI) strategies articulate imaginaries of the integration of AI into society and envision the governing of AI research, development and applications accordingly. To integrate these central aspects of national AI strategies under one coherent perspective, this paper presented an analysis of Germany’s strategy ‘AI made in Germany’ through the conceptual lens of ordoliberal political rationality. The first part of the paper analyses how the guiding vision of a human-centric AI not only adheres to ethical and legal principles (...) consistent with Germany’s liberal democratic constitutional system but also addresses the risks and promises inherent to the ordoliberal problematization of freedom. Second, it is scrutinized how the strategy cultivates the fear of not achieving technological sovereignty in the AI sector. Thereby, it frames the global AI race as a race of competing (national) approaches to governing AI and articulates an ordoliberal approach to governing AI (the ‘third way’), according to which government has to operate between the twin dangers of governing too much and not governing enough. Third, the paper analyses how this ordoliberal proportionality of governing structures Germany’s Science Technology & Innovation Policy. It is shown that the corresponding risk-based approach of regulating AI constitutes a security apparatus as it produces an assessment of fears: weighting the fear of the failure to innovate with the fear of the ramifications of innovation. Finally, two lines of critical engagement based on this analysis are conducted. (shrink)

This book is open access under a CC BY 4.0 license. This timely book addresses the conflict between globalism and nationalism. It provides a liberal communitarian response to the rise of populism occurring in many democracies. The book highlights the role of communities next to that of the state and the market. It spells out the policy implications of liberal communitarianism for privacy, freedom of the press, and much else. In a persuasive argument that speaks to politics today from Europe (...) to the United States to Australia, the author offers a compelling vision of hope. Above all, the book offers a framework for dealing with moral challenges people face as they seek happiness but also to live up to their responsibilities to others and the common good. At a time when even our most basic values are up for question in policy debates riddled with populist manipulation, Amitai Etzioni’s bold book creates a new frame which introduces morals and values back into applied policy questions. These questions span the challenges of jobless growth to the unanswered questions posed by the role of artificial intelligence in a wide range of daily life tasks and decisions. While not all readers will agree with the communitarian solutions that he proposes, many will welcome an approach that is, at its core, inclusive and accepting of the increasingly global nature of all societies at the same time. It is a must read for all readers concerned about the future of Western liberal democracy. Carol Graham, Leo Pasvolsky Senior Fellow, The Brookings Institution and College Park Professor/University of Maryland In characteristically lively, engaging, and provocative style Etzioni tackles many of the great public policy dilemmas that afflict us today. Arguing that we are trapped into a spiral of slavish consumerism, he proposes a form of liberal communitarian that, he suggests, will allow human beings to flourish in changing circumstances. Jonathan Wolff, Blavatnik Chair of Public Policy, Blavatnik School of Government, University of Oxford. (shrink)

Sustainability as a concept remains just as challenging and important today as it was when the first edition of this book was published. The Second Edition of Sustainability and Design Ethics explores the ethical obligations of knowledgeable people such as design professionals, taking into consideration the numerous changes that have taken place in recent years. This book expands the growing discussion on the principles of sustainability to further include the role of businesses and governments and considers the general recognition that (...) modern society has occurred at the expense of nature with significant social and environmental impacts. Are there limits to the individual's ethical obligation? How do such obligations change or adapt to a world of sustainable design? As the shift toward sustainability proceeds, designers' ethical underpinnings will be confronted with a wider range of people and concerns whose interests must be weighed. The design professionals are likely to be among the lead in the shift toward sustainability because of the special knowledge and expertise provided to them by their education, experience, and distinctive position in society. The entire world of design is being reassessed and the guiding principles and ethics of design reflect this change. New to the Second Edition: Expanded international scope that includes a comparison of professional organizations in the EU, Australia, Canada, Japan and China Discusses how cultural differences between the West and China result in different underlying foundations for professional ethics Revised analyses to reflect changes in regulatory and technical areas such as the inevitable rise of artificial intelligence in design Updated arguments reflecting the need for sustainability and the designer's role and obligations Updated references pertaining to the progress of sustainable design and development Sustainability and Design Ethics, Second Edition is an attempt to explore the ideas and principles that might contribute to the thinking of thoughtful design professionals. The emergence of "green" design discussed in this book is used to evidence progress, but also to demonstrate the degree to which more is needed. (shrink)

At the beginning of a new reign it seems appropriate to re-assess the meaning of monarchy in modern Britain. The new King heads a fractured royal family, a divided nation, and a disaffected Commonwealth. How can we as scholars make sense of where the monarchy has been, and where it might be going? This article suggests a new scholarly approach is required. Through a critical analysis of three classic studies of monarchy: Walter Bagehot’s The English constitution (1867), Kingsley Martin’s The (...) magic of monarchy (1937) and Tom Nairn’s The enchanted glass (1988), the lecture traces the lineage of modern interpretations of the British monarchy and points up their limitations. Preoccupied with the symbolism of monarchy, conventional scholarship neglects its important political functions. As the lecture argues, in the era of Brexit at home and populist regimes around the world, modern democracies may actually need monarchy more than ever before. (shrink)

Corporate governance delivers feasible and controlled company operations using a group of common shareholders and appropriate policies. The roles and responsibilities of the shareholders suggest and improve corporate development through monotonous and independent rights. The implication of artificial intelligence provides knowledgeable insights for decision-making and control management. This article introduces a Mutual Consent-based Governance Regulation Model for dissimilarity mitigation in corporate rule implications. The proposed model exploits transfer learning for balanced rule implication and decision-making. The learning states are defined based (...) on mutual agreement, individual interest, and operational features. Based on the governance policies, the above rules are employed without hindering the pioneer regulations implemented in different periods. Therefore, artificial intelligence technology is utilized for prompt and swift governance decisions in delivering special rights for consumers and shareholders. The performance of this model is validated and verified using data sources related to governance policies from a real-time industry. The impact of varying policy features with dissimilarity is analyzed for varying occurrences. The analysis is given based on the considered data sources for which the classification and its impact over reports, sharing, voting, complaint, and market are analyzed. The availability before and after the proposed improves the above metrics by 10.48, 10.65, 9.78, 13.39, and 9.26%. (shrink)

The lifeblood of every developed nation is entrepreneurs, people who set out to build their own destiny and achieve fame and fortune. Yet 30% of all new businesses in Australia fail before their first year is finished; in the US 44% of enterprises have closed their doors by the 3rd year. Why do some entrepreneurs succeed while others struggle to realise their dream? Phillip Di Bella began Di Bella Coffee in 2002 with $5000 in his pocket. Within 4 years (...) the company had made BRW's Top 100 Fastest Growing list, with Phillip named among the top 100 young rich. Phillip has turned his knowledge of coffee into a multi-million dollar business, yet his ambitions and dreams were no different than the thousands who dream of an empire and embark on their own journey every year to achieve success. This book is about the formula that drove his success; the same formula that drives the success of every great entrepreneur. The formula is simply called entrepreneurial intelligence. It is required reading for any entrepreneur who wants to survive the cut, and prosper. (shrink)

This book explores the intersection of legal frameworks, healthcare innovation, and computational intelligence, shedding light on how emerging technologies like AI and ML are reshaping the medical landscape. It presents real life challenges such as patient privacy, data security, and compliance issues in smart healthcare by engaging into associated ethical and regulatory implications. Comprising the concepts of predictive analytics, regulatory compliance algorithms, and legal decision-making processes, this book offers a roadmap for stakeholders to navigate the evolving landscape of healthcare innovation (...) responsibly and ethically. Investigates how artificial intelligence supports legal decision-making processes in smart healthcare, addressing ethical and accountability concerns Demonstrates the use of smart contracts and automation tools powered by computational intelligence to streamline legal processes and ensure compliance in smart healthcare initiatives Focuses on managing healthcare data within legal frameworks, emphasizing computational intelligence's role in ensuring privacy and security. Examines how computational intelligence enables predictive analytics models to anticipate legal challenges and compliance issues in smart healthcare. Highlights the development and implementation of computational algorithms for navigating evolving legal frameworks in healthcare. This reference book is a useful resource for scholars and researchers working on smart healthcare. (shrink)

With technologies like machine learning and data analytics being deployed as privileged means to improve how contemporary bureaucracies work, many governments around the world have turned to artificial intelligence as a tool of statecraft. In that context, our paper uses Canada as a critical case to investigate the relationship between ideals of good government and good technology. We do so through not one, but two Trudeaus—celebrity Prime Minister Justin Trudeau (2015—…) and his equally famous father, former Prime Minister Pierre Elliott (...) Trudeau (1968–1979, 1980–1984). Both shared a similar interest in new ideas and practices of both intelligent government and artificial intelligence. Influenced by Marshall McLuhan and his media theory, Pierre Elliott Trudeau deployed new communication technologies to restore centralized control in an otherwise decentralized state. Partly successful, he left his son with an informationally inclined political legacy, which decades later animated Justin Trudeau's own turn toward Big Data and artificial intelligence. Compared with one another, these two visions for both government and artificial intelligence illustrate the broader tensions between cybernetic and neoliberal approaches to government, which inform how new technologies are conceived of, and adopted, as political ones. As this article argues, Canada offers a paradigmatic case for how artificial intelligence is as much shaped by theories of government as by investments and innovations in computing research, which together delimit the contours of intelligence by defining which technical systems, people, and organizations come to be recognized as its privileged bearers. (shrink)

Human oversight has become a key mechanism for the governance of artificial intelligence (“AI”). Human overseers are supposed to increase the accuracy and safety of AI systems, uphold human values, and build trust in the technology. Empirical research suggests, however, that humans are not reliable in fulfilling their oversight tasks. They may be lacking in competence or be harmfully incentivised. This creates a challenge for human oversight to be effective. In addressing this challenge, this article aims to make three contributions. (...) First, it surveys the emerging laws of oversight, most importantly the European Union’s Artificial Intelligence Act (“AIA”). It will be shown that while the AIA is concerned with the competence of human overseers, it does not provide much guidance on how to achieve effective oversight and leaves oversight obligations for AI developers underdefined. Second, this article presents a novel taxonomy of human oversight roles, differentiated along whether human intervention is constitutive to, or corrective of a decision made or supported by an AI. The taxonomy allows to propose suggestions for improving effectiveness tailored to the type of oversight in question. Third, drawing on scholarship within democratic theory, this article formulates six normative principles which institutionalise distrust in human oversight of AI. The institutionalisation of distrust has historically been practised in democratic governance. Applied for the first time to AI governance, the principles anticipate the fallibility of human overseers and seek to mitigate them at the level of institutional design. They aim to directly increase the trustworthiness of human oversight and to indirectly inspire well-placed trust in AI governance. (shrink)

Food systems are being affected by multiple shocks related to climate change, the COVID-19 pandemic and geopolitical events. Food prices and food insecurity are rising globally as a result, raising questions about the effective governance of food security during shocks. This paper critically examines the governance of food security in Melbourne, Australia during a major food system shock, the COVID-19 pandemic. It draws on document analysis and 34 stakeholder interviews with 41 participants from government, industry and civil society between (...) May 2020 and March 2021. The paper examines the role of these actors in governance mechanisms for two important aspects of food system governance during the COVID-19 pandemic, continuity of food supply and delivery of emergency food relief. Clark et al.’s ( 2021 ) “governance engagement continuum” is used to show how civil society groups were excluded from these formal governance mechanisms, instead establishing their own spaces of “self-governance”. The resilience aims associated with these governance mechanisms are also analyzed using Zurek et al.’s ( 2022 ) “three R’s” (robustness, recovery and reorientation) framework. Our study highlights the significant role of food industry actors in the continuity of food supply and delivery of emergency food relief, and it shows the vulnerabilities of emergency food relief that depends on industry food “surpluses” as a model for addressing food insecurity during food system shocks. We conclude that greater government leadership is needed in the governance of food security during food system shocks, and in implementation of legislative and policy approaches that are grounded in the human right to food. (shrink)

To optimize the data clustering effect of public health emergencies, an application research on social governance ability under public health emergencies based on artificial intelligence is proposed. First, the firefly optimization algorithm is used to collect the information data of the social governance ability of public health emergencies, establish a unified format, and save it. Then, artificial intelligence technology is used to mine the correlation of clustering data, and on this basis, a learning model integrating global structure information and local (...) structure information is established. Finally, the social governance model under public health emergencies is established. The experimental results show that the design method has high clustering accuracy, regularization cross index, and adjusted rand index (ARI) index. This shows that the design method can improve the social governance ability of data fusion clustering and improve the social governance ability. (shrink)

The Routledge Handbook of Collective Intelligence for Democracy and Governance explores the concepts, methodologies, and implications of collective intelligence for democratic governance, in the first comprehensive survey of this field. Illustrated by a collection of inspiring case studies and edited by three pioneers in collective intelligence, this handbook serves as a unique primer on the science of collective intelligence applied to public challenges and will inspire public actors, academics, students, and activists across the world to apply collective intelligence in policymaking (...) and administration to explore its potential, both to foster policy innovations and reinvent democracy. The Routledge Handbook of Collective Intelligence for Democracy and Governance is essential reading and an authoritative reference for scholars, students, researchers and practitioners of public policy, public administration, governance, public management, information technology and systems, innovation and democracy as well as more broadly for political science, psychology, management studies, public organizations and individual policy practitioners, public authorities, civil society activists and service providers. (shrink)

The urgency of the study of "stem-education" as a factor in the development of "smart-society" is that this kind of society is a continuation of information and "knowledge society", which is developing on the basis of smart technologies. The concept of smart society is at the heart of modern state-owned development programs of South Korea and Japan. In South Korea, the National Social Agency has developed a "Smart Society Strategy" that introduces the technological foundations of smart societies. The central issue (...) of Smart-society is business, which makes managing more intelligent and activities aimed at using knowledge and innovation. The objectives of the study are to identify the "stem-education" endpoint through the use of electronic and collective technologies, which become more massive and effective, and through the use of natural, engineering and maternal education. It is no coincidence that this concept is documented in the Europe 2020 Strategy: Smart Growth Strategy, which includes the development of an economy based on knowledge and innovation, fosters sustainable growth, more efficient use of resources, and inclusive growth and strengthening of high employment. Countries such as the United States, China, Australia, the United Kingdom, Israel, and Singapore carry out state-of-the-art stem-education programs. The methodological basis of the study is systematic, structural, axiological, synergetic methods and approaches that have allowed disclosing stem-education as the leading trend in the world of educational space. Conclusion - It is proved that stem-education is an innovation that combines the traditions of natural and mathematical education, is based on the principles of fundamentalism and knowledge-based, combining technological, organizational, material and technical resources and human capital. As a result of the development of stem-education at the expense of ICT, business processes, governance, and management reform are undergoing change, leading to economic, social and managerial processes at a higher level in some of those societies. Smart society is a new quality of society in which the combination of the use of new technologies will allow people to improve the quality of their lives. This article presents philosophical and educational reflection of smart-society as a new model of the information society and presents its impact on human capital. It reveals timeliness of this topic, which is innovative and hardly developed. It analyses international experience in establishment and growth of smart-society and dimensions of axiological field of smart-society, which is based on axiological matrix of information and knowledge, which are considered and being civilized dimensions of modern society. The main idea is to prove the evolution of the information society to smart-society and the possibility of establishment of smart-society in Ukraine. The analysis of smart-society formation was made and its characteristics were defined, which claims priority role in the world information space formation and contribute to the competitiveness of Ukraine in the international information space. (shrink)

Which harms and benefits should be viewed as relevant when considering whether to launch cyber-measures? In this article, we consider this question, which matters because it is central to determining whether cyber-measures should be launched. Several just war theorists hold a version of what we call the ‘Restrictive View’, according to which there are restrictions on the sorts of harms and benefits that should be included in proportionality assessments about the justifiability of going to war (whether cyber or kinetic). We (...) discuss two such views – the Just Cause Restrictive View and Rights-based Restrictive View – and find both wanting. By contrast, we defend what we call the ‘Permissive View’. This holds that all potential goods and bads should be included in proportionality decisions about cyber-measures, even those that appear to be trivial, and where the various harms and benefits are given different weights, according to their agent-relative and agent-neutral features. We argue further that accepting the Permissive View has broader implications for the ethical frameworks governing cyberwar, both in terms of whether cyberattack provide just cause for coercive responses, including kinetic warfare and cyber-responses, and whether cyber-measures should be governed by just war theory or a new theory for cyber-operations. (shrink)

The urgency of the study of "stem-education" as a factor in the development of "smart-society" is that this kind of society is a continuation of information and "knowledge society", which is developing on the basis of smart technologies. The concept of smart society is at the heart of modern state -owned development programs of South Korea and Japan. In South Korea, the National Social Agency has developed a "Smart Society Strategy" that introduces the technological foundations of smart societies. The central (...) issue of Smart-society is business, which makes managing more intelligent and activities aimed at using knowledge and innovation. The objectives of the study are to identify the "stem-education" endpoint through the use of electronic and collective technologies, which become more massive and effective, and through the use of natural, engineering and maternal education. It is no coincidence that this concept is documented in the Europe 2020 Strategy: Smart Growth Strategy, which includes the development of an economy based on knowledge and innovation, fosters sustainable growth, more efficient use of resources, and inclusive growth and strengthening of high employment. Countries such as the United States, China, Australia, the United Kingdom, Israel, and Singapore carry out state-of-the-art stem-education programs. The methodological basis of the study is systematic, structural, axiological, synergetic methods and approaches that have allowed disclosing stem -education as the leading trend in the world of educational space. Conclusion - It is proved that stem-education is an innovation that combines the traditions of natural and mathematical education, is based on the principles of fundamentalism and knowledge -based, combining technological, organizational, material and technical resources and human capital. As a result of the development of stem-education at the expense of ICT, business processes, governance, and management reform are undergoing change, leading to economic, social and managerial processes at a higher level in some of those societies. Smart society is a new quality of society in which the combination of the use of new technologies will allow people to improve the quality of their lives. This article presents philosophical and educational reflection of smart -society as a new model of the information society and presents its impact on human capital. It reveals timeliness of this topic, which is innovative and hardly developed. It analyses international experience in establishment and growth of smart -society and dimensions of axiological field of smart-society, which is based on axiological matrix of information and knowledge, which are considered and being civilized dimensions of modern society. The main idea is to prove the evolution of the information society to smart -society and the possibility of establishment of smart-society in Ukraine. The analysis of smart-society formation was made and its characteristics were defined, which claims priority role in the world information space formation and contribute to the competitiveness of Ukraine in the international information space. (shrink)

Australia does not allow adult smokers to buy or use electronic nicotine delivery systems that contain nicotine without a prescription. This paper critically evaluates the empirical and ethical justifications provided for the policy by Federal and State governments, public health advocates and health organisations. These are: that ENDS should only be approved as products for smoking cessation when there is evidence from randomised controlled trials that they are effective; that as a matter of precaution we should not allow the (...) sale of ENDS to smokers as consumer products because we do not know what their long-term effects will be; and that allowing ENDS to be sold as consumer goods will enable the tobacco industry to market ENDS to young people which will also lead to an increase in youth smoking. We show that the arguments and evidence offered in support of all these claims is very weak. We also argue that even if the evidence were stronger, it would not justify denying adult smokers the right to use ENDS either to quit smoking or as a long-term alternative to smoking cigarettes. We outline ENDS policies that would more ethically address the public health concerns that motivated the current policy by allowing adult smokers to access ENDS for smoking cessation or tobacco harm reduction under tight regulations that discourage commercial promotion and adolescent use. (shrink)

It has become a truism that the ethics of artificial intelligence (AI) is necessary and must help guide technological developments. Numerous ethical guidelines have emerged from academia, industry, government and civil society in recent years. While they provide a basis for discussion on appropriate regulation of AI, it is not always clear how these ethical guidelines were developed, and by whom. Using content analysis, we surveyed a sample of the major documents (_n_ = 47) and analyzed the accessible information regarding (...) their methodology and stakeholder engagement. Surprisingly, only 38% report some form of stakeholder engagement (with 9% involving citizens) and most do not report their methodology for developing normative insights (15%). Our results show that documents with stakeholder engagement develop more comprehensive ethical guidance with greater applicability, and that the private sector is least likely to engage stakeholders. We argue that the current trend for enunciating AI ethical guidance not only poses widely discussed challenges of applicability in practice, but also of transparent development (as it rather behaves as a black box) and of active engagement of diversified, independent and trustworthy stakeholders. While most of these documents consider people and the common good as central to their telos, engagement with the general public is significantly lacking. As AI ethics moves from the initial race for enunciating general principles to more sustainable, inclusive and practical guidance, stakeholder engagement and citizen involvement will need to be embedded into the framing of ethical and societal expectations towards this technology. (shrink)

The Intelligent Nation proposes a systemic and radical transformation of the organisation, management, ownership and performance of the services of the state by capitalising on the potential offered by contemporary information capability and fulfilling the rights and obligations both to and of citizens. In this book, John Beckford shows how, by adopting the principles of an intelligent organisation, the state can thrive and meet the needs of its citizens. He proposes a complete rethink of the state as the enabler or (...) provider of public services. In particular, he points to the failure of the public sector to significantly emulate the massive gains in productivity and customer focus experienced in both manufacturing and services (e.g. finance, retailing, insurance). Governance and all public services must be redesigned to align to the contemporary needs of the citizen and exploit the power of information to enable a transformation of their effectiveness, redefine efficiency, and support human-based services in crucial areas. Each chapter provides the key learning points, a discussion of the problem in theory and practice, integrated case studies, and discussion points. Written in an accessible style, the book provides thought-provoking supplemental reading for masters and undergraduate students reading organization theory, organization development, political science, public administration, healthcare, information systems, and business and management science. (shrink)

In the ever-evolving landscape of Artificial Intelligence in Healthcare (AIH), understanding the entities and legal frameworks governing its research and development is crucial. This report delves into the intricacies of AIH in Malaysia, undertaking a comprehensive literature search on scientific databases, government portals, and news sources. Additionally, bibliometric analysis has been concurrently conducted to discern trends and developments in AIH over the years. Notably, the interest in AIH has seen a consistent rise since 2017, marked by a growing number of (...) use cases (25 reported here) developed by both local and foreign innovators and applicators. Despite this surge in research and adoption, Malaysia lacks direct legislation specifically addressing AIH technologies, leaving them subject to 11 existing laws. This lack of clear oversight is compounded by the insufficient expertise within local regulatory and ethical bodies to effectively assess AIH research and deployment. The resultant challenges include bureaucratic hurdles for AIH innovators and applicators, raising ethical concerns related to patient autonomy, privacy, data management, AI robustness, and liability. To address these issues, this paper recommends: (1) adopting international ethical guidelines for AIH, (2) enhancing public awareness and education on AI technologies, and (3) promoting AIH research through clinical or silent trials to improve oversight and foster innovation. (shrink)

Despite there being little consensus on what intelligence is or how to measure it, the media and the public have become increasingly preoccupied with the concept owing to recent accomplishments in machine learning and research on artificial intelligence (AI). Governments and corporations are investing billions of dollars to fund researchers who are keen to produce an ever‐expanding range of artificial intelligent systems. More than 30 countries have announced such research initiatives over the past 3 years 1. For example, the EU (...) Commission pledged to increase the investment in AI research to €1.5 billion by 2020 (from €500 million in 2017), while China has committed $2.1 billion towards an AI technology park in Beijing alone 1. This global investment in AI is astonishing and prompts several questions: What are the true possibilities and limitations of AI? What do AI researchers and developers mean by “intelligence”? How does this compare to the everyday concept of intelligence and how the term is other branches of cognitive science? And can machine learning produce anything that is truly “intelligent”? (shrink)

This article examines the social acceptability and governance of emotional artificial intelligence in children’s toys and other child-oriented devices. To explore this, it conducts interviews with stakeholders with a professional interest in emotional AI, toys, children and policy to consider implications of the usage of emotional AI in children’s toys and services. It also conducts a demographically representative UK national survey to ascertain parental perspectives on networked toys that utilise data about emotions. The article highlights disquiet about the evolution of (...) generational unfairness, that encompasses injustices regarding the datafication of childhood, manipulation, parental vulnerability, synthetic personalities, child and parental media literacy, and need for improved governance. It concludes with practical recommendations for regulators and the toy industry. (shrink)

Australian universities expanded rapidly in the period after the Second World War, assisted by the national government and with a clear understanding that they would serve national purposes. Social scientists sought to participate in the enhanced opportunities for research by pressing their relevance to the nation-building project. At the same time they sought academic recognition as research disciplines by stressing the objective and authoritative character of their knowledge. This article explores the way these strategies were pursued in Australia and (...) the United States, and suggests their consequences. The institutionalization of the social sciences in the university is contrasted with the oppositional social science practised in the labour movement's independent working-class education in the early part of the 20th century, and it is argued that the expectations created by state support of research in the social sciences — and the policies imposed to serve them — are ill founded. (shrink)

Objective. Approved medicines are not always sufficient to address the needs of patients so several legal pathways exist to enable access to unapproved medicines for treatment purposes. This article is the first to provide an in-depth analysis of this regulatory framework that governs access to unapproved medicines in Australia with a specific focus on affordability-motivated access. Methods. Legislation, regulations, and guidelines were critically analysed to identify the de jure basis for importation and supply of unapproved medicines in Australia. (...) Results. Most pathways for accessing unapproved medicines do not permit importation or supply for non-clinical justifications such as affordability. This is problematic as it fails to recognize that a medicine being unavailable is equivalent to a medicine being unaffordable for a patient. Better alignment can be achieved by permitting importation and supply of unapproved medicines if justified by good medical practice, which includes considerations of equity and access. It is also shown that the provisions of the Special Access Scheme Category A could be interpreted broadly to expand its use. Conclusions. As medicines become more expensive and cost-barriers to treatment are more prevalent, ignoring affordability as a valid criterion for importing medicines is a significant oversight of current regulation. (shrink)

Governing nursing conduct: the rise of evidence‐based practice Drawing on the Foucauldian concept of ‘governmentality’ to analyse the evidence‐based movement in nursing, we argue that it is possible to identify the governance of nursing practice and hence nurses across two distinct axes; that of the political (governance through political and economic means) and the personal (governance of the self through the cultivation of the practices required by nurses to put evidence into practice). The evaluation of nursing work through evidence‐based reviews (...) provides detailed information that may enable governments to target and instruct nurses regarding their work in the interest of preserving the health of the population as a whole. Political governance of the nursing population becomes possible through centralised discursive mechanisms, such as evidence‐based reviews that present nursing practice as an intelligible field whose elements are connected in a more or less systematic manner. The identity of the evidence‐based nurse requires the modern nurse to develop new skills and attitudes. Evidence‐based nursing is an emerging technology of government that judges nursing research and knowledge and has the capacity to direct nursing practice at both the political and personal level. (shrink)

This article investigates the relation between corporate governance and business ethics in the Asia-Pacific region. It draws on four examples of countries in the region (Australia, China, Singapore, and India), not because they are representative of certain regional characteristics, but as a means of reflecting on the diversity in this region. These countries display pronounced differences in terms of inter alia, historical development, cultural and social factors, legal system, corporate governance model, political system, and economic development. The complex interaction (...) of all these considerations provides the context for corporate governance and business ethics in each of the countries. The article highlights different orientations to stakeholder management and integrity behavior in the boardroom and executives’ offices. Although globalization and financial market hegemony suggests a convergent model is theoretically desirable, this research suggests that the human capacity to protect diversity and enshrine regional and local interests seems likely to inhibit rapid change. (shrink)

Wallace, Max In trying to find an accurate way to describe the relationship between government and religion, I devised the term 'soft theocracy' and defined it as a 'state where church and government purposes coincide to garnishee taxpayers' money and resources, structurally through tax exemptions and functionally through grants and privileges'.

This article analyses ‘performance government’ as an emergent form of rule in advanced liberal democracies. It discloses how teachers and school leaders in Australia are being governed by the practices of performance government which centre on the recently established Australian Institute for Teaching and School Leadership (AITSL) and are given direction by two major strategies implicit within the exercise of this form of power: activation and regulation. Through an ‘analytics of government’ of these practices, the article unravels the new (...) configurations of corporatized expert and academic knowledge—and their attendant methods of application—by which the self-governing capacities of teachers and school leaders are being activated and regulated in ways that seek to optimize the performance of these professionals. The article concludes by outlining some of the dangers of performance government for the professional freedom of educators and school leaders. (shrink)

Artificial intelligence (AI) national strategies provide countries with a framework for the development and implementation of AI technologies. Sixty countries worldwide published their AI national strategies. The majority of these countries with more than 70% are developed countries. The approach of AI national strategies differentiates between developed and developing countries in several aspects including scientific research, education, talent development, and ethics. This paper examined AI readiness assessment in a developing country (Palestine) to help develop and identify the main pillars of (...) the AI national strategy. AI readiness assessment was applied across education, entrepreneurship, government, and research and development sectors in Palestine (case of a developing country). In addition, it examined the legal framework and whether it is coping with trending technologies. The results revealed that Palestinians have low awareness of AI. Moreover, AI is barely used across several sectors and the legal framework is not coping with trending technologies. The results helped develop and identify the following five main pillars that Palestine’s AI national strategy should focus on: AI for Government, AI for Development, AI for Capacity Building in the private, public and technical and governmental sectors, AI and Legal Framework, and international Activities. (shrink)

Regulation is nothing without enforcement. This particularly holds for the dynamic field of emerging technologies. Hence, this article has two ambitions. First, it explains how the EU´s new Artificial Intelligence Act (AIA) will be implemented and enforced by various institutional bodies, thus clarifying the governance framework of the AIA. Second, it proposes a normative model of governance, providing recommendations to ensure uniform and coordinated execution of the AIA and the fulfilment of the legislation. Taken together, the article explores how the (...) AIA may be implemented by national and EU institutional bodies, encompassing longstanding bodies, such as the European Commission, and those newly established under the AIA, such as the AI Office. It investigates their roles across supranational and national levels, emphasizing how EU regulations influence institutional structures and operations. These regulations may not only directly dictate the structural design of institutions but also indirectly request administrative capacities needed to enforce the AIA. (shrink)

In this study, a hybrid model based on intelligent techniques is developed to predict the active power generated in a bioclimatic house by a low power wind turbine. Contrary to other researches that predict the generated power taking into account the speed and the direction of the wind, the model developed in this paper only uses the speed of the wind, measured mainly in a weather station from the government meteorological agency (MeteoGalicia). The wind speed is measured at different heights, (...) against the usual measurements in others researches, which uses the wind speed and the direction measured in a weather station on the wind turbine nacelle. The prediction is performed 30 minutes ahead, what ensures that the Building Management System knows the energy generated by the low power wind turbine 30 minutes before, and it can adapt the consumption of different equipment in the house to optimize the power use. The main objective is to allow the Building Management System to optimize the uses of energy, taking into account the predicted amount of energy that will be produced and the energy consumed in the house. The developed model uses a hybrid topology with four clusters to improve the prediction, achieving an error lower than 6.5% for Mean Absolute Error measured in a final test. To perform this test, part of the original dataset was isolated from the beginning of the training process to check the model with a dataset that is not used before, simulating the model as it is receiving new data. (shrink)

In 2008 the Australian Government introduced a national reform agenda to increase organ and tissue donation. Australia continues to perform poorly by international standards on measures of organ procurement, however. This paper outlines three proposals to improve donation rates and considers the empirical evidence available for each. A number of ethical objections frequently given to resist such proposals are also addressed. Firstly, it is recommended that Australia implement an ‘opt-out’ system of organ donation. Secondly, the existing veto rules (...) should be changed to better protect the wishes of those who wish to donate. Finally, a numer of incentives should be offered to increase donation rates; these could include incentives of financial value, but also non-financial incentives such as prioritisation for the receipt of organs for previous donors. (shrink)