The range of application of artificial intelligence (AI) is vast, as is the potential for harm.
Growing awareness of potential risks from AI systems has spurred action to address those …

With the recent wave of progress in artificial intelligence (AI) has come a growing awareness
of the large-scale impacts of AI systems, and recognition that existing regulations and norms …

Artificial intelligence (AI) is increasingly being adopted for automation and decision-making
tasks across all industries, public sector, and law. Applications range from hiring and credit …

Artificial Intelligence startups use training data as direct inputs in product development.
These firms must balance numerous tradeoffs between ethical issues and data access …

Artificial Intelligence (AI) can benefit society, but it is also fraught with risks. Societal adoption
of AI is recognized to depend on stakeholder trust in AI, yet the literature on trust in AI is …

Abstract Machine learning (ML) and artificial intelligence (AI) researchers play an important
role in the ethics and governance of AI, including through their work, advocacy, and choice …

Turning principles into practice is one of the most pressing challenges of artificial
intelligence (AI) governance. In this Perspective, we reflect on a governance initiative by one …

Artificial intelligence (AI) research is routinely criticized for its real and potential impacts on
society, and we lack adequate institutional responses to this criticism and to the …

To design and develop AI-based systems that users and the larger public can justifiably
trust, one needs to understand how machine learning technologies impact trust. To guide …

Artificial Intelligence (AI) holds tremendous promise for revolutionizing industries and driving
innovation. However, the rapid advancement of AI technologies also raises concerns about …