Detecting and Documenting AI Impacts

Algorithmic systems are being widely used in key social institutions and while they promise radical improvements in fields from public health to energy allocation, they also raises troubling issues of bias, discrimination, and “automated inequality.” They also present irresolvable challenges related to the dual-use nature of these technologies, secondary effects that are difficult to anticipate, and alter power relations between individuals, companies, and governments. • How should we delimit the scope of AI impacts? What can properly be considered an AI impact, as opposed to an impact arising from some other cause? • How do we detect and document the social impacts of AI? • What tools, processes, and institutions ought to be involved in addressing these questions?