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.
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
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