Making Sense of the Conceptual Nonsense 'Trustworthy AI'

AI and Ethics 4 (2022)
  Copy   BIBTEX


Following the publication of numerous ethical principles and guidelines, the concept of 'Trustworthy AI' has become widely used. However, several AI ethicists argue against using this concept, often backing their arguments with decades of conceptual analyses made by scholars who studied the concept of trust. In this paper, I describe the historical-philosophical roots of their objection and the premise that trust entails a human quality that technologies lack. Then, I review existing criticisms about 'Trustworthy AI' and the consequence of ignoring these criticisms: if the concept of 'Trustworthy AI' is kept being used, we risk attributing responsibilities to agents who cannot be held responsible, and consequently, deteriorate social structures which regard accountability and liability. Nevertheless, despite suggestions to shift the paradigm from 'Trustworthy AI' to 'Reliable AI', I argue that, realistically, this concept will be kept being used. I end by arguing that, ultimately, AI ethics is also about power, social justice, and scholarly activism. Therefore, I propose that community-driven and social justice-oriented ethicists of AI and trust scholars further focus on (a) democratic aspects of trust formation; and (b) draw attention to critical social aspects highlighted by phenomena of distrust. This way, it will be possible to further reveal shifts in power relations, challenge unfair status quos, and suggest meaningful ways to keep the interests of citizens.



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

The Importance of Being Trustworthy.Derek Sellman - 2006 - Nursing Ethics 13 (2):105-115.
Trustworthy research—an editorial introduction.Caroline Whitbeck - 1995 - Science and Engineering Ethics 1 (4):322-328.
Trustworthiness of autonomous systems.S. Kate Devitt - 2018 - In Hussein A. Abbass, Jason Scholz & Darryn Reid (eds.), Foundations of Trusted Autonomous Systems. Springer. pp. 161-184.
Xin: Being Trustworthy.Winnie Sung - 2020 - International Philosophical Quarterly 60 (3):271-286.
Do corporations have a duty to be trustworthy?Nikolas Kirby, Andrew Kirton & Aisling Crean - 2018 - Journal of the British Academy 6 (Supplementary issue 1):75-129.


Added to PP

290 (#61,709)

6 months
158 (#15,265)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Ori Freiman
McMaster University

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references