Numerous parties are calling for “the democratisation of AI”, but the phrase is used to refer to
a variety of goals, the pursuit of which sometimes conflict. This paper identifies four kinds of …

Background Artificial intelligence (AI) systems are widely used in the health care sector.
Mainly applied for individualized care, AI is increasingly aimed at population health. This …

In recent years, discussions of responsible AI practices have seen growing support for
'participatory AI'approaches, intended to involve members of the public in the design and …

Artificial intelligence (AI) is transforming how governments work, from distribution of public
benefits, to identifying enforcement targets, to meting out sanctions. But given AI's twin …

Introduction:“Democratizing” artificial intelligence (AI) in medicine and healthcare is a vague
term that encompasses various meanings, issues, and visions. This article maps the ways …

Artificial Intelligence (AI) is fast becoming a ubiquitous part of our lives. From autonomous
vehicles and AI personal assistants to computer-assisted surgery and automated trading …

Calls for regulating artificial intelligence (AI) are widespread, but there remains little
consensus on both the specific harms that regulation can and should address and the …

Algorithms are used across a wide range of societal sectors such as banking, administration,
and healthcare to make predictions that impact on our lives. While the predictions can be …

This paper advances the debate surrounding whether to democratize AI and explores some
of the challenges and benefits of democratization through community-based work and direct …

This paper develops an account of model evaluation—with an emphasis on fairness
concerns—that takes the social situatedness of ML models as its starting point. Such a view …