All Abstracts > Principles for Governing AI, Facial Recognition, and Smart Cities: Finding Points of Consensus in a Global Technology Ecosystem
Principles for Governing AI, Facial Recognition, and Smart Cities: Finding Points of Consensus in a Global Technology Ecosystem
Author | Affiliation:
Lorraine Kisselburgh | Purdue University
ACM, ICA, and other scientific and civil societies serve an important role in providing scientific evidence and guidance to policy development around the world. As the oldest and largest society of scientific professionals in computing, ACM represents an important source of expertise in computer science to guide national and global development of governance – whether of the Internet, social platforms, or the vast emerging landscape of AI-based technologies and applications. In particular, the governance of AI, facial recognition, and smart cities raises universal questions of privacy, security, and ethical conduct, but also reveals unique differences in social and cultural norms around such governance. At the same time, global technology ecosystems require cooperative approaches to include a diversity of political, cultural, and technological perspectives. Led by OECD and informed by a global set of guidelines such as ACM’s Statement of Algorithmic Accountability and the Public Voice’s Universal Guidelines for AI, an international framework was adopted and endorsed by most countries at the 2019 G20 summit in Japan. In this presentation, I review these policy guidelines within the context of smart cities and facial recognition technologies. I conclude with an interrogation of key issues, ongoing policy gaps, and specific questions about the political, scientific, and citizen discourse around governance of these emerging technologies.
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