Sample Project: Society-in-the-loop

Recent rapid advances in Artificial Intelligence (AI) and Machine Learning have raised many questions about the regulatory and governance mechanisms for autonomous machines. This is not about individual gadgets, but about complex, networked systems of humans and algorithms making decisions in business, government and the media. We need conceptual frameworks for designing new governance architectures for these human-machine social systems. In doing so, it is helpful to learn lessons about human cooperation and governance from political philosophy and cultural anthropology. It is also important to understand the limits of regulation, and whether over-regulation of adaptive systems may even backfire.


Scientific writings

I. Rahwan (2018). Society in the Loop: Programming the Algorithmic Social Contract. Ethics and Information Technology. 20(1):5-14
[Blog post] [Pre-print] [Paper]

W. Shen, A. A. Khemeiri, A. Almehrezi, W. A. Enezi, I. Rahwan, J. W. Crandall (2017). Regulating Highly Automated Robot Ecologies: Insights from Three User Studies. In: Proc. Int. Conf. on Human-Agent Interaction (HAI}.

I. Rahwan (2016). Towards Scalable Governance: Sensemaking and Cooperation in the Age of Social Media. Philosophy & Technology. 30(2), 161-178
[View-only open access versions]



Article: New York Times
September, 2016

How Tech Giants Are Devising Real Ethics for Artificial Intelligence by John Markoff. more
Video: TEDx Talk
January 2018

Talk given by Iyad Rahwan on Why We Need A New, Algorithmic Social Contract more




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