Artificial Intelligence Policy: A Primer and Roadmap

By Ryan Calo. 2017

337 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management of Technology and Innovation

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Citations in the corpus

AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings (2020, background): “Kennedy to hold a conference on robotics and labour, and later to start a Federal Automation Commission were both dismissed (Calo, 2017).”
Artificial intelligence policy in India: a framework for engaging the limits of data-driven decision-making (2018, neutral): “[28], where only a few well-established leaders in the field have the ability to acquire data and build datasets.”
Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy (2019, background): “Calo in his paper has identi ﬁ ed – justice and equity, use of force, safety and certi ﬁ cation, privacy, power, taxation and displacement of labour as the key challenges of AI (Calo, 2017).”
Ethics of artificial intelligence and robotics (2020, background): “On general AI policy, see (Calo 2018) as well as (Crawford and Calo 2016; Stahl, Timmermans, and Mittelstadt 2016; Johnson and Verdicchio 2017; Giubilini and Savulescu 2018).”
The Ethics of AI Ethics: An Evaluation of Guidelines (2019, background): “…of the emergence of superintelligence is more frequently expressed by people who lack technical experience in the field of AI—one just has to think of people like Stephen Hawking, Elon Musk or Bill Gates—while “real” experts generally regard the idea of a strong AI as rather absurd (Calo 2017, 26).”