One objection to conventional AI ethics is that it slows innovation. This presentation responds by reconfiguring ethics as an innovation accelerator. The critical elements develop from a contrast between Stability AI’s Diffusion and OpenAI’s Dall-E. By analyzing the divergent values underlying their opposed strategies for development and deployment, five conceptions are identified as common to acceleration ethics. Uncertainty is understood as positive and encouraging, rather than discouraging. Innovation is conceived as intrinsically valuable, instead of worthwhile only as mediated (...) by social effects. AI problems are solved by more AI, not less. Permissions and restrictions governing AI emerge from a decentralized process, instead of a unified authority. The work of ethics is embedded in AI development and application, instead of functioning from outside. Together, these attitudes and practices remake ethics as provoking rather than restraining artificial intelligence. (shrink)

Artificial Intelligence (AI) seems to be impacting all industry sectors, while becoming a motor for innovation. The diffusion of AI from the civilian sector to the defense sector, and AI’s dual-use potential has drawn attention from security and ethics scholars. With the publication of the ethical guideline Trustworthy AI by the European Union (EU), normative questions on the application of AI have been further evaluated. In order to draw conclusions on Trustworthy AI as a point of reference for responsible (...) research and development (R&D), we approach the diffusion of AI across both civilian and military spheres in the EU. We capture the extent of technological diffusion and derive European and German patent citation networks. Both networks indicate a low degree of diffusion of AI between civilian and defense sectors. A qualitative investigation of project descriptions of a research institute’s work in both civilian and military fields shows that military AI applications stress accuracy or robustness, while civilian AI reflects a focus on human-centric values. Our work represents a first approach by linking processes of technology diffusion with normative evaluations of R&D. (shrink)

This paper investigates the diffusive predator-prey system with nonmonotonic functional response and fear effect. Firstly, we discussed the stability of the equilibrium solution for a corresponding ODE system. Secondly, we established a priori positive upper and lower bounds for the positive solutions of the PDE system. Thirdly, sufficient conditions for the local asymptotical stability of two positive equilibrium solutions of the system are given by using the method of eigenvalue spectrum analysis of linearization operator. Finally, the existence and (...) nonexistence of nonconstant positive steady states of this reaction-diffusion system are established by the Leray–Schauder degree theory and Poincaré inequality. (shrink)

This paper investigates the stochastically exponential stability of reaction-diffusion impulsive stochastic cellular neural networks. The reaction-diffusion pulse stochastic system model characterizes the complexity of practical engineering and brings about mathematical difficulties, too. However, the difficulties have been overcome by constructing a new contraction mapping and an appropriate distance on a product space which is guaranteed to be a complete space. This is the first time to employ the fixed point theorem to derive the stability criterion of (...) reaction-diffusion impulsive stochastic CNN with distributed time delays. Finally, an example is provided to illustrate the effectiveness of the proposed methods. (shrink)

To realize the coordinated and sustainable development of hydropower projects and regional society, comprehensively evaluating hydropower projects’ influence is critical. Usually, hydropower project development has an impact on environmental geology and social and regional cultural development. Based on comprehensive consideration of complicated geological conditions, fragile ecological environment, resettlement of reservoir area, and other factors of future hydropower development in each country, we have constructed a comprehensive evaluation index system of hydropower projects, including 4 first-level indicators of social economy, environment, safety, (...) and fairness, which contain 26 second-level indicators. To solve the problem that existing models cannot evaluate dynamic nonlinear optimization, a projection pursuit model is constructed by using rough set reduction theory to simplify the index. Then, an accelerated genetic algorithm based on real number coding is used to solve the model and empirical study is carried out with the Y hydropower station as a sample. The evaluation results show that the evaluation index system and assessment model constructed in our paper effectively reduce the subjectivity of index weight. Applying our model to the social impact assessment of related international hydropower projects can not only comprehensively analyze the social impact of hydropower projects but also identify important social influencing factors and effectively analyze the social impact level of each dimension. Furthermore, SIA assessment can be conducive to project decision-making, avoiding social risks and social stability. (shrink)

The recent wave of generative AI (GAI) systems like Stable Diffusion that can produce images from human prompts raises controversial issues about creatorship, originality, creativity and copyright. This paper focuses on creatorship: who creates and should be credited with the outputs made with the help of GAI? Existing views on creatorship are mixed: some insist that GAI systems are mere tools, and human prompters are creators proper; others are more open to acknowledging more significant roles for GAI, but most (...) conceive of creatorship in an all-or-nothing fashion. We develop a novel view, called CCC (collective-centered creation), that improves on these existing positions. On CCC, GAI outputs are created by collectives in the first instance. Claims to creatorship come in degrees and depend on the nature and significance of individual contributions made by the various agents and entities involved, including users, GAI systems, developers, producers of training data and others. Importantly, CCC maintains that GAI systems can sometimes be part of a co-creating collective. We detail how CCC can advance existing debates and resolve controversies around creatorship involving GAI. (shrink)

Recent claims that artificial intelligence (AI) systems demonstrate “emergent abilities” have fueled excitement but also fear grounded in the prospect that such systems may enable a wider range of parties to make unprecedented advances in areas that include the development of chemical or biological weapons. Ambiguity surrounding the term “emergent abilities” has added avoidable uncertainty to a topic that has the potential to destabilize the strategic landscape, including the perception of key parties about the viability of nonproliferation efforts. To avert (...) these problems in the future, scientists, developers, policymakers, and other parties should take credible steps to strengthen the health of the scientific ecosystem around AI. (shrink)

Recent claims that artificial intelligence (AI) systems demonstrate “emergent abilities” have fueled excitement but also fear grounded in the prospect that such systems may enable a wider range of parties to make unprecedented advances in areas that include the development of chemical or biological weapons. Ambiguity surrounding the term “emergent abilities” has added avoidable uncertainty to a topic that has the potential to destabilize the strategic landscape, including the perception of key parties about the viability of nonproliferation efforts. To avert (...) these problems in the future, scientists, developers, policymakers, and other parties should take cred- ible steps to strengthen the health of the scientific ecosystem around AI. (shrink)

The relationship between philosophy and research on artificial intelligence (AI) has been difficult since its beginning, with mutual misunderstanding and sometimes even hostility. By contrast, we show how an approach informed by both philosophy and AI can be productive. After reviewing some popular frameworks for computation and learning, we apply the AI methodology of “build it and see” to tackle the philosophical and psychological problem of characterizing perception as distinct from sensation. Our model comprises a network of very simple, but (...) interacting agents which have binary experiences of the “yes/no”-type and communicate their experiences with each other. When does such a network refer to a single agent instead of a distributed network of entities? We apply machine learning techniques to address the following related questions: i) how can the model explain stability of compound entities, and ii) how could the model implement a single task such as perceptual inference? We thereby find consistency with previous work on “interface” strategies from perception research. While this reflects some necessary conditions for the ascription of agency, we suggest that it is not sufficient. Here, AI research, if it is intended to contribute to conceptual understanding, would benefit from issues previously raised by philosophy. We thus conclude the article with a discussion of action-selection, the role of embodiment, and consciousness to make this more explicit. We conjecture that a combination of AI research and philosophy allows general principles of mind and being to emerge from a “quasi-empirical” investigation. (shrink)

Despite pronouncements about the inevitable diffusion of artificial intelligence and autonomous technologies, in practice, it is human behavior, not technology in a vacuum, that dictates how technology seeps into—and changes—societies. To better understand how human preferences shape technological adoption and the spread of AI-enabled autonomous technologies, we look at representative adult samples of US public opinion in 2018 and 2020 on the use of four types of autonomous technologies: vehicles, surgery, weapons, and cyber defense. By focusing on these four (...) diverse uses of AI-enabled autonomy that span transportation, medicine, and national security, we exploit the inherent variation between these AI-enabled autonomous use cases. We find that those with familiarity and expertise with AI and similar technologies were more likely to support all of the autonomous applications we tested (except weapons) than those with a limited understanding of the technology. Individuals that had already delegated the act of driving using ride-share apps were also more positive about autonomous vehicles. However, familiarity cut both ways; individuals are also less likely to support AI-enabled technologies when applied directly to their life, especially if technology automates tasks they are already familiar with operating. Finally, we find that familiarity plays little role in support for AI-enabled military applications, for which opposition has slightly increased over time. (shrink)

The European Union Commission’s whitepaper on Artificial Intelligence proposes shaping the emerging AI market so that it better reflects common European values. It is a master plan that builds upon the EU AI High-Level Expert Group guidelines. This article reviews the masterplan, from a culture cycle perspective, to reflect on its potential clashes with current societal, technical, and methodological constraints. We identify two main obstacles in the implementation of this plan: the lack of a coherent EU vision to drive future (...) decision-making processes at state and local levels and the lack of methods to support a sustainable diffusion of AI in our society. The lack of a coherent vision stems from not considering societal differences across the EU member states. We suggest that these differences may lead to a fractured market and an AI crisis in which different members of the EU will adopt nation-centric strategies to exploit AI, thus preventing the development of a frictionless market as envisaged by the EU. Moreover, the Commission aims at changing the AI development culture proposing a human-centred and safety-first perspective that is not supported by methodological advancements, thus taking the risks of unforeseen social and societal impacts of AI. We discuss potential societal, technical, and methodological gaps that should be filled to avoid the risks of developing AI systems at the expense of society. Our analysis results in the recommendation that the EU regulators and policymakers consider how to complement the EC programme with rules and compensatory mechanisms to avoid market fragmentation due to local and global ambitions. Moreover, regulators should go beyond the human-centred approach establishing a research agenda seeking answers to the technical and methodological open questions regarding the development and assessment of human-AI co-action aiming for a sustainable AI diffusion in the society. (shrink)

We prove almost sure exponential stability for the disease-free equilibrium of a stochastic differential equations model of an SIR epidemic with vaccination. The model allows for vertical transmission. The stochastic perturbation is associated with the force of infection and is such that the total population size remains constant in time. We prove almost sure positivity of solutions. The main result concerns especially the smaller values of the diffusion parameter, and describes the stability in terms of an analogue (...) $$\mathcal{R}_\sigma$$ of the basic reproduction number $$\mathcal{R}_0$$ of the underlying deterministic model, with $$\mathcal{R}_\sigma \le \mathcal{R}_0$$. We prove that the disease-free equilibrium is almost sure exponentially stable if $$\mathcal{R}_\sigma <1$$. (shrink)

Since the launch of applications such as DALL-E, Midjourney, and Stable Diffusion, generative artificial intelligence has been controversial as a tool for creating artwork. While some have presented longtermist worries about these technologies as harbingers of fully automated futures to come, more pressing is the impact of generative AI on creative labour in the present. Already, business leaders have begun replacing human artistic labour with AI-generated images. In response, the artistic community has launched a protest movement, which argues that (...) AI image generation is a kind of theft. This paper analyzes, substantiates, and critiques these arguments, concluding that AI image generators involve an unethical kind of labour theft. If correct, many other AI applications also rely upon theft. (shrink)

Large Language Models (LLMs) are generative AI systems capable of producing original texts based on inputs about topic and style provided in the form of prompts or questions. The introduction of the outputs of these systems into human discursive practices poses unprecedented moral and political questions. The article articulates an analysis of the moral status of these systems and their interactions with human interlocutors based on the Habermasian theory of communicative action. The analysis explores, among other things, Habermas's inquiries into (...) the analogy between human minds and computers, and into the status of atypical participants in the linguistic community such as genetically modified subjects and animals. Major conclusions are the LLMs seem to qualify as authors that originally participate in discursive practices but do display only a structurally derivative form of communicative competence and fail to meet the status of communicative agents. In this sense, while the contribution of AI writing systems in public discourse and deliberation can support the process of mutual understanding within the community of speakers, the human actors involved in the development, use, and diffusion of these systems share a collective responsibility for the disclosure of AI authorship and verification and adjudication of validity claims. (shrink)

Abstract:AI technologies mine past data to anticipate future events, and yet our world of environmental and political crisis ushers in unprecedented conditions. Mixing examples of operational environments (AI in the oil and gas industry) with insights from media, cultural, and environmental studies, this article explores this grappling with uncertainty. To manage uncertainty, companies strive to internalize the complexity and contingency of the real world, collecting more data, designing more accurate sensors, and developing more exhaustive models. And yet prediction is a (...) fraught exercise that struggles with correlation versus causation, the epistemological outside (the unknown), and the ontological outside (the open-endedness of the future). In addition, technology’s role in accelerating and intensifying the destructive logics of capital contributes to more volatile planetary conditions, undermining the stability and continuity that prediction requires. The article thus argues that, at a fundamental level, a highly fluid future will increasingly frustrate any meaningful degree of prediction. Keywords: prediction, knowledge, AI, machine learning, uncertainty, climate change. (shrink)

In this paper, a multigroup SVIR epidemic model with reaction-diffusion and nonlinear incidence is investigated. We first establish the well-posedness of the model. Then, the basic reproduction number ℜ 0 is established and shown as a threshold: the disease-free steady state is globally asymptotically stable if ℜ 0 1. Moreover, applying the classical method of Lyapunov and a recently developed graph-theoretic approach, we established the global stability of the endemic equilibria for a special case.

I sketch my general model of the roles of intentions in the planning of agents like us-agents with substantial resource limitations and with important needs for coordination. I then focus on the stability of prior intentions: their rational resistance to reconsideration. I emphasize the importance of cases in which one's nonreconsideration of a prior intention is nondeliberative and is grounded in relevant habits of reconsideration. Concerning such cases I argue for a limited form of two-tier consequentialism, one that is (...) restricted in ways that aim at blocking an analogue of Smart's concerns about rule-worship. I contrast this with the unrestricted two-tier consequentialism suggested by McClennen. I argue that my restricted approach is superior for a theory of the practical rationality of reflective, planning agents like us. But I also conjecture that an unrestricted two-tier consequentialism may be more appropriate for the AI project of specifying a high level architecture for a resource-bounded planner. (shrink)

The Internet and other interactive networks are diffusing across the globe at rates that vary from country to country. Typically, economic and market structure variables are used to explain these differences. The addition of culture to these variables will provide a more robust understanding of the differences in Internet and interactive network diffusion. Existing analyses that identify culture as a predictor of diffusion do not adequately specify the dimensions of culture and their impacts.This paper presents a set of (...) propositions to be used in analyses of the impact of culture on the diffusion of interactive networks. The propositions were developed using cultural constructs presented by Hofstede (1991), Herbig (1994) and Hall and Hall (1987). Diffusion of innovations theory and critical mass theory provide the theoretical base. The development of the propositions resulted from a close examination of the theories for relationships mediated by culture. The resulting propositions use cultural variables in relationships established by the theories. It is hoped that the propositions will serve as a starting point for future research in the area of cultural influences on the diffusion of interactive networks. (shrink)

In this paper, we propose a methodology to maximize the benefits of interdisciplinary cooperation in AI research groups. Firstly, we build the case for the importance of interdisciplinarity in research groups as the best means to tackle the social implications brought about by AI systems, against the backdrop of the EU Commission proposal for an Artificial Intelligence Act. As we are an interdisciplinary group, we address the multi-faceted implications of the mass-scale diffusion of AI-driven technologies. The result of our (...) exercise lead us to postulate the necessity of a behavioural theory that standardizes the interaction process of interdisciplinary groups. In light of this, we conduct a review of the existing approaches to interdisciplinary research on AI appliances, leading to the development of methodologies like ethics-by-design and value-sensitive design, evaluating their strengths and weaknesses. We then put forth an iterative process theory hinging on a narrative approach consisting of four phases: definition of the hypothesis space, building-up of a common lexicon, scenario-building, interdisciplinary self-assessment. Finally, we identify the most relevant fields of application for such a methodology and discuss possible case studies. (shrink)

In this article, we shed light on the emergence, diffusion, and use of socio-technological future visions. The artificial intelligence future vision of the German federal government is examined and juxtaposed with the respective news media coverage of the German media. By means of a content analysis of frames, it is demonstrated how the German government strategically uses its AI future vision to uphold the status quo. The German media largely adapt the government´s frames and do not integrate alternative future (...) narratives into the public debate. These findings are substantiated in the framing of AI futures in policy documents of the German government and articles of four different German newspapers. It is shown how the German past is mirrored in the German AI future envisioned by the government, safeguarding the present power constellation that is marked by a close unity of politics and industry. The German media partly expose the government´s frames and call for future visions that include fundamentally different political designs less influenced by the power structures of the past and present. (shrink)

Diffusion plays an essential role in the distribution of predator and prey. We mainly research the diffusion network’s effect on the predator-prey model through bifurcation. First, it is found that the link probability and diffusion parameter can cause Turing instability in the network-organized predator-prey model. Then, the Turing stability region is obtained according to the sufficient condition of Turing instability and the eigenvalues’ distribution. Finally, the biological mechanism is explained through our theoretical results, which are also (...) illustrated by numerical simulation. (shrink)

This paper discusses the stability and Hopf bifurcation analysis of the diffusive Kaldor–Kalecki model with a delay included in both gross product and capital stock functions. The reaction-diffusion domain is considered, and the Galerkin analytical method is used to derive the system of ordinary differential equations. The methodology used to determine the Hopf bifurcation points is discussed in detail. Furthermore, full diagrams of the Hopf bifurcation regions considered in the stability analysis are shown, and some numerical simulations (...) of the limit cycle are used to confirm the theoretical outcomes. The delay investment parameter and diffusion coefficient can have great impacts on the Hopf bifurcations and stability of the business cycle model. The investment parameters for the gross product and capital stock as well as the adjustment coefficient of the production market are also studied. These parameters can cause instability in, and the stabilization of, the business cycle model. In addition, we point out that, as the delay investment parameter increases, the Hopf bifurcation points for the diffusion coefficient values decrease considerably. When the delay investment parameter has a very small value, the solution of the business cycle model tends to become steady. (shrink)

The dynamics behaviors of Kaldor–Kalecki business cycle model with diffusion effect and time delay under the Neumann boundary conditions are investigated. First the conditions of time-independent and time-dependent stability are investigated. Then, we find that the time delay can give rise to the Hopf bifurcation when the time delay passes a critical value. Moreover, the normal form of Hopf bifurcations is obtained by using the center manifold theorem and normal form theory of the partial differential equation, which can (...) determine the bifurcation direction and the stability of the periodic solutions. Finally, numerical results not only validate the obtained theorems, but also show that the diffusion coefficients play a key role in the spatial pattern. With the diffusion coefficients increasing, different patterns appear. (shrink)

Generative AI models are shaping our future. In this work, we discover and expose the bias against physically challenged people in generative models. Generative models (Stable Diffusion XL and DALL·E 3) are unable to generate content related to the physically challenged, e.g., inclusive washroom, even with very detailed prompts. Our analysis reveals that this disability bias emanates from biased AI datasets. We achieve this using a novel strategy to automatically discover bias against underrepresented groups like the physically challenged. Finally, (...) we track the root of this disability bias in search engines (Google, Bing, Yandex, and DuckDuckGo). Search engines suffer from disability bias for neutral prompts. The standard strategy of using synonyms to retrieve diverse results does not automatically include the physically challenged. Search engines require specific mention of the underrepresented group to retrieve relevant results. Therefore, conscious effort is required to include underrepresented groups while scraping datasets from search engines. A future built by generative AI having little understanding of physically challenged people will have serious implications. We hope that our effort lays the groundwork for future datasets and algorithms that include this underrepresented group. (shrink)

The recent swell of public interest in AI image generating software, such as Midjourney, DALL-E 2, and Stable Diffusion, has led to a great deal of consternation among conventional visual artists. Understanding that the process through which these machines generate images depends ultimately on a machine learning process that involves the use of copyrighted artworks, has led many artists to allege that AI art is theft. There has already been a substantive debate in the literature concerning whether this use (...) of copyrighted material by AI image generating software constitutes copyright infringement in the United States. However, the artists’ complaint appears to be a moral claim, rather than a legal one. In this paper, I will argue that these artists are essentially mistaken. Their copyrights should not protect them from this use of their art by AI image generating software. While I am sympathetic to the claims that this technology will harm visual artists, and that there should be some kind of protection afforded to artists against that harm, that harm is not caused by anything analogous to theft. (shrink)

The dependence of socio-political stability on the emotional expectations of voters is investigated. For this, a model of a socio-political system consisting of a society of voters and a democratically elected politician is considered. The neuropsychological model of the voter takes into account his emotional expectations. The social stability is guaranteed by the expectations of positive emotions of all voters. Socio-political stability means both the social stability and the re-election of politician. One type of voter is (...) a Progressist who seeks to fulfil his desires. It is shown that for the socio-political stability of the Progressist society, is enough a supportive environment. Another type of voter—a Phobic works in a fearful environment. It is shown that for the socio-political stability of the Phobic’s society, regular impacts that support their phobias are sufficient. As an example, emotional expectations, socio-political stability and information management in Eastern Europe are considered. The management of phobias in a weak economy is investigated. It is shown that in the absence of regular impacts supporting phobias a Phobic turns into a Progressist. Then the socio-political system becomes unstable with a weak economy and growth limits. The classification of the main social threats and phobias is given. The socio-political consequences of creating phobias, including corporate psychopaths and toxic leaders, are examined. Ways are proposed to resolve the contradiction between increased consumption and growth limits without the use of phobias, using high humanitarian technologies. (shrink)

Keith DeRose believes that it is a strength of his contextualist analysis that it explains why the recently much-discussed skeptical Argument from Ignorance (AI) is so persuasive. Not only that, however; DeRose also believes that he is able to explain the underlying dynamics of AI by utilizing solely the epistemological and linguistic resources contained within his contextualist analysis. DeRose believes, in other words, that his contextualist analysis functions as a genuinely self-contained explanation of skepticism. But does it? In this paper (...) I argue that DeRose’s analysis does not function as a self-contained explanation of skepticism since, as it turns out, DeRose’s analysis is simply irrelevant to the main concerns of the skeptic. To the extent that DeRose’s analysis is irrelevant in this way, I conclude that such an analysis cannot be considered a satisfactory treatment of AI. (shrink)

In artificial-intelligence (AI) and computer-vision research, photographic images are typically referred to as natural images. This means that images used or produced in this context are conceptualized within a binary as either natural or synthetic. Recent advances in creative AI technology, particularly generative adversarial networks and diffusion models, have afforded the ability to create photographic-seeming images, that is, synthetic images that appear natural, based on learnings from vast databases of digital photographs. Contemporary discussions of these images have thus far (...) revolved around the political and social implications of producing convincing fake photographs. However, these images are of theoretical interest for the fields of art history and visual studies for additional reasons. AI-generated photographic images resonate with many of the classic themes in photography: nature and the real, the unconscious and the uncanny, and discourses of power. This article therefore seeks to answer the question: Can photorealistic AI-generated images be defined as photographs? I argue that AI-generated photographs do indeed belong within in the wider discourse of photography, given their form and interpretation. (shrink)

The growing demand for energy in urban environments, coupled with the urgent need to reduce carbon emissions, necessitates innovative approaches to power generation, distribution, and consumption. Artificial Intelligence (AI)-driven smart grids offer a transformative solution by optimizing energy efficiency, integrating renewable resources, and ensuring grid stability. This paper explores how machine learning and IoT-enabled predictive analytics can enhance smart grid performance in urban areas. By addressing challenges such as demand forecasting, load balancing, and renewable energy intermittency, this study demonstrates (...) the potential of AI to revolutionize sustainable energy management. Experimental results highlight improvements in grid reliability, cost reduction, and carbon footprint minimization, paving the way for resilient and eco-friendly urban energy systems. (shrink)

It will be settled out for the open problem of designing an r-order finite-time state observer for reaction-diffusion genetic regulatory networks with time-varying delays. By assuming the Dirichlet boundary conditions, aiming to estimate the mRNA and protein concentrations via available network measurements. Firstly, sufficient F-T stability conditions for the filtering error system have been investigated via constructing an appropriate Lyapunov–Krasovskii functional and using several integral inequalities and convex technique simultaneously. These conditions are delay-dependent and reaction-diffusion-dependent and can (...) be checked by MATLAB toolbox. Furthermore, a method is proposed to design an r-order F-T state observer, and the explicit expressions of observer gains are given. Finally, a numerical example is presented to illustrate the effectiveness of the proposed method. (shrink)

Humanity’s desire for change but not instability is explored. In this context, it is proposed that a key ‘balancing aid’ of society is openness. Converse attributes, such as secrecy, reserve and tact, are also discussed, following the ideas of Sissela Bok. A particular interest in openness can be traced to the thought and advocacy of Niels Bohr, at the beginning of the nuclear age, when the problems were thought about mainly in terms of security. His ideas and efforts to promote (...) an open world are reviewed in the light of subsequent developments. These developments are not restricted to nuclear matters. The qualitative proliferation of kinds of instability (perhaps combining into John Beddington’s ‘perfect storm’) is relevant. This proliferation justifies extension of Bohr’s concerns with security to the wider realm of stability. It is also proposed in this paper that Bohr’s use of the term confidence, which was an important element of his argument for an open world, requires refinement, with a distinction between confidence in others (trust) and self-confidence (necessary for openness). The paper ends with a section on ‘improving our prospects’. (shrink)

Considering the technological development today, we are facing an emerging crisis. We are in the midst of a scientific revolution, which promises to radically change not only the way we live and work—but beyond that challenge the stability of the very foundations of our civilization and the international political order. All our attention and effort is thus focused on cushioning its impacts on life and society. Looking back in history, it would be pertinent to ask whether this process is (...) a “quasi” natural event destined to continue its path which forebodes severe ethical, social and political repercussions, or is it the outcome of a particular socio-cultural value system? What then are the different value systems and mind-sets? How do these impact on our perception of the world, our cognition systems and our self-perception? At the core of this revolution are the recent technological developments in information and data processing and the creation of AI and the role of algorithms. Are algorithms quasi “independent” artificial languages for assessing situations, solving problems and taking decisions on fundamental social issues? Or do they rest on the fundament of natural language? What ethical and moral code do they follow? What drivers underlie this technological process? Are these culture specific or universal? Could a change of “cultural perspective” provide us with new insights to steer the process and change its course? (shrink)

Fairness of Artificial Intelligence decisions has become a big challenge for governments, companies, and societies. We offer a theoretical contribution to consider AI ethics outside of high-level and top-down approaches, based on the distinction between “reality” and “world” from Luc Boltanski. To do so, we provide a new perspective on the debate on AI fairness and show that criticism of ML unfairness is “realist”, in other words, grounded in an already instituted reality based on demographic categories produced by institutions. Second, (...) we show that the limits of “realist” fairness corrections lead to the elaboration of “radical responses” to fairness, that is, responses that radically change the format of data. Third, we show that fairness correction is shifting to a “domination regime” that absorbs criticism, and we provide some theoretical and practical avenues for further development in AI ethics. Using an ad hoc critical space stabilized by reality tests alongside the algorithm, we build a shared responsibility model which is compatible with the radical response to fairness issues. Finally, this paper shows the fundamental contribution of pragmatic sociology theories, insofar as they afford a social and political perspective on AI ethics by giving an active role to material actors such as database formats on ethical debates. In a context where data are increasingly numerous, granular, and behavioral, it is essential to renew our conception of AI ethics on algorithms in order to establish new models of responsibility for companies that take into account changes in the computing paradigm. (shrink)

In this paper, we put forward a time-delay ecological competition system with food restriction and diffusion terms under Neumann boundary conditions. For the case without delay, the conditions for local asymptotic stability and Turing instability are constructed. For the case with delay, the existence of Hopf bifurcation is demonstrated by analyzing the root distribution of the corresponding characteristic equations. Furthermore, by using the normal form theory and the center manifold reduction of partial functional differential equations, explicit formulas are (...) obtained to determine the direction of bifurcations and the stability of bifurcating periodic solutions. Finally, some simulation examples are provided to substantiate our analysis. (shrink)

After a decades-long economic slump, the city of Flint, Michigan, struggled to address chronic issues of toxic water supply, malnutrition, and food security gaps among its residents. A community-engaged research project proposed a resilience assessment that would use panarchy theory to move the city toward a more sustainable food system. Flint is one of many examples that demonstrates how panarchy theory is being applied to understand and influence change in complex human-natural systems. Applied Panarchy, the much-anticipated successor to Lance Gunderson (...) and C.S. Holling's seminal 2002 volume Panarchy, documents the extraordinary advances in interdisciplinary panarchy scholarship and applications over the past two decades. Panarchy theory has been applied to a broad range of fields, from economics to law to urban planning, changing the practice of environmental stewardship for the better in measurable, tangible ways.Panarchy describes the way systems--whether forests, electrical grids, agriculture, coastal surges, public health, or human economies and governance--are part of even larger systems that interact in unpredictable ways. Although humans desire resiliency and stability in our lives to help us understand the world and survive, nothing in nature is permanently stable. How can society anticipate and adjust to the changes we see around us? Where Panarchy proposed a framework to understand how these transformational cycles work and how we might influence them, Applied Panarchy takes the scholarship to the next level, demonstrating how these concepts have been modified and refined. The book shows how panarchy theory intersects with other disciplines, and how it directly influences natural resources management and environmental stewardship.Intended as a text for graduate courses in environmental sciences and related fields, Applied Panarchy picks up where Panarchy left off, inspiring new generations of scholars, researchers, and professionals to put its ideas to work in practical ways. (shrink)

L'auteur publie deux cadrans solaires grecs trouvés dans le gymnase d'Aï Khanoum. Le premier est d'un type bien connu dans tout le monde grec et corresponde l'hemicyclium... ad enclima succisiim de Vitruve. Le second est un cadran équatorial d'un type nouveau : il est constitué d'un bloc parallélépipédique incliné sur sa base de façon à faire avec la verticale un angle équivalent à la latitude ; la projection de l'ombre du stylet se fait à l'intérieur d'une cavité cylindrique. Le tracé (...) des lignes horaires est fait pour une latitude de 23°. L'auteur cherche les raisons de cette anomalie. Plutôt qu'à une malfaçon ou à une adaptation imparfaite d'un cadran apporté d'un site lointain, il songe à un instrument pour l'enseignement de la théorie des horloges solaires permettant de visualiser la différence horaire entre Aï Khanoum et la ville de Syène en Egypte, qui avait valeur de référence dans l'astronomie grecque. La Bactriane hellénisée a pu jouer un rôle de relais dans la diffusion vers l'Inde des connaissances de l'astronomie grecque et gréco-babylonienne. (shrink)

This comment on Michael Bratman's Planning and the Stability of Intention focuses on sources of the rational stability of intentions which are not related to the presence of reflectively overrideable non-deliberative habits of (non)reconsideration. It is true that intentions have a rational resistance to reconsideration, but this stability can be understood as a by-product of the scheduling of cognitive tasks. This scheduling effect is intrinsic to all actual systems, that is, systems whose reasoning is not instantaneous or (...) otherwise costless. Additionally, rules governing practical reasoning, including rules governing reasoning with intentions, will not uniformly be subject to overrides resulting from reflective operations. Hence there is no basis for distinguishing human reasoners from artificial reasoners by reference to an alleged human capacity to reflectivity evaluate its own reasoning operations. (shrink)

After briefly discussing ekphrasis’s historical significance and function in the arts and its continued relevance as an effective artistic practice, this essay explores the concept of digital ekphrasis in the age of artificial intelligence and digital image generation. The discussion focuses on popular AI models readily available online, such as Midjourney, Dall-e, Stable Diffusion, and Firefly. By examining prominent examples of AI art or so-called popular “prompt art” – including Refik Anadol’s award-winning and mesmerizing AI project “Unsupervised” (MoMA, New (...) York, 2023) and the viral Midjourney prompt “The Pope wearing a Balencia-ga puffer jacket” (Spring 2023) – the author questions whether we can also speak of a computational ekphrasis in the age of artificial intelligence and AI models as our new co-creative collaborators. Therefore, the essay considers a praxeology of digital ekphrasis, exploring how efficient text instructions for AI models are now used to create compelling images in a new digital aesthetic that affects their global audience. (shrink)

In this study, the authors utilize mountain pass lemma, variational methods, regularization technique, and the Lyapunov function method to derive the unique existence of the positive classical stationary solution of a single-species ecosystem. Particularly, the geometric characteristic of saddle point in the mountain pass lemma guarantees that the equilibrium point is the ground state stationary solution of the ecosystem. Based on the obtained uniqueness result, the authors use the Lyapunov function method to derive the globally exponential stability criterion, which (...) illuminates that under some suitable conditions, a certain internal competition is conducive to the global stability of the population, and a certain amount of family planning is conducive to the overall stability of the population. Most notably, the regularity technique of weak stationary solution employed in this study can also be applied to some existing literature related with time-delays reaction-diffusion systems for the purpose of regularization of weak solutions. Finally, an illuminative numerical example shows the effectiveness of the proposed methods. (shrink)

Most engineers Fwork within social structures governing and governed by a set of values that primarily emphasise economic concerns. The majority of innovations derive from these loci. Given the effects of these innovations on various communities, it is imperative that the values they embody are aligned with those societies. Like other transformative technologies, artificial intelligence systems can be designed by a single organisation but be diffused globally, demonstrating impacts over time. This paper argues that in order to design for this (...) broad stakeholder group, engineers must adopt a systems thinking approach that allows them to understand the sociotechnicity of artificial intelligence systems across sociocultural domains. It claims that value sensitive design, and envisioning cards in particular, provides a solid first step towards helping designers harmonise human values, understood across spatiotemporal boundaries, with economic values, rather than the former coming at the opportunity cost of the latter. (shrink)

This study aims to investigate the worldview characteristics of current systems of artificial intelligence generated content (AIGC). Eight representative AIGC systems is selected as research objects and elicited responses and ratings to the viewpoints in Devlin’s CWQ worldview scale through a unified questioning approach. Based on the item-by-item ratings provided by the systems, the worldviews reflected from the AIGC systems were analyzed from three aspects: stability, tendency, and polarity. The research found that AIGC systems demonstrate general stability and (...) relatively consistent tendency but notable inter-system differences in polarization. By analyzing and categorizing differences in these characteristics, this paper outlines several potential types of worldviews held by AIGC systems. (shrink)