Mapping the Stony Road toward Trustworthy AI: Expectations, Problems, Conundrums

In Marcello Pelillo & Teresa Scantamburlo (eds.), Machines We Trust: Perspectives on Dependable Ai. MIT Press (2021)
  Copy   BIBTEX

Abstract

The notion of trustworthy AI has been proposed in response to mounting public criticism of AI systems, in particular with regard to the proliferation of such systems into ever more sensitive areas of human life without proper checks and balances. In Europe, the High-Level Expert Group on Artificial Intelligence has recently presented its Ethics Guidelines for Trustworthy AI. To some, the guidelines are an important step for the governance of AI. To others, the guidelines distract effort from genuine AI regulation. In this chapter, we engage in a critical discussion of the concept of trustworthy AI by probing the concept both on theoretical and practical grounds, assessing its substance and the feasibility of its intent. We offer a concise overview of the guidelines and their vision for trustworthy AI and examine the conceptual underpinnings of trustworthy AI by considering how notions of 'trust' and 'trustworthiness' have been discussed in the philosophical literature. We then discuss several epistemic obstacles and moral requirements when striving to achieve trustworthy AI in practice before concluding with an argument in support of the establishment of a trustworthy AI culture that respects and protects foundational values.

Other Versions

No versions found

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 100,676

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

In AI We Trust: Ethics, Artificial Intelligence, and Reliability.Mark Ryan - 2020 - Science and Engineering Ethics 26 (5):2749-2767.
Trustworthy artificial intelligence.Mona Simion & Christoph Kelp - 2020 - Asian Journal of Philosophy 2 (1):1-12.

Analytics

Added to PP
2020-10-26

Downloads
128 (#170,572)

6 months
17 (#169,860)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Pak-Hang Wong
Hong Kong Baptist University

References found in this work

No references found.

Add more references