Artificial Intelligence Governance and Ethics: Global Perspectives
By Angela Daly, Thilo Hagendorff, Li Hui, Monique Mann, Vidushi Marda, Ben Wagner, Wei Wang, Saskia Witteborn. 2019
76 citations recorded by the source corpus.
Artificial intelligence (AI) is a technology which is increasingly being utilised in society and the economy worldwide, and its implementation is planned to become more prevalent in coming years. AI is increasingly being embedded in our lives, supplementing our pervasive use of digital technologies. But this is being accompanied by disquiet over problematic and dangerous implementations of AI, or indeed, even AI itself deciding to do dangerous and problematic actions, especially in fields such as the military, medicine and criminal justice. These developments have led to concerns about whether and how AI systems adhere, and will adhere to ethical standards. These concerns have stimulated a global conversation on AI ethics, and have resulted in various actors from different countries and sectors issuing ethics and governance initiatives and guidelines for AI. Such developments form the basis for our research in this report, combining our international and interdisciplinary expertise to give an insight into what is happening in Australia, China, Europe, India and the US.
Subfields: Artificial Intelligence, Cognitive Neuroscience, Safety Research
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Citations in the corpus
- Ethical principles in machine learning and artificial intelligence: cases from the field and possible ways forward (2020, background): “The group produced a deliverable on the required criteria for AI trustworthiness (Daly, 2019).”
- Talking AI into Being: The Narratives and Imaginaries of National AI Strategies and Their Performative Politics (2021, background): “This choice of countries is not exhaustive (Daly et al. 2019; Niklas and Dencik 2020), but it entails key players in the field.”
- Education for AI, not AI for Education: The Role of Education and Ethics in National AI Policy Strategies (2021, background): “…competitiveness; how AI will or could impact various policy sectors (e.g., agriculture, transportation, finance, manufacturing, etc.); and a review of social and ethical concerns, in some cases addressed by a set of proposed ethical governance principles (Cath et al. 2018; Daly et al. 2019).”