Increasingly, many people are raising concerns that the growing prevalence of artificial intelligence (AI) will exacerbate human bias, manipulate consumers, and cause other harms. Whether or not these concerns have merit, most proposed solutions have been substantially lacking: they either fail to effectively reduce potential harm, stifle innovation, or both. What is needed is a proposal that offers policymakers a viable middle ground that maximizes the potentially vast benefits of algorithmic decision-making while minimizing the risks.
Join the Center for Data Innovation for a presentation of its new report and a panel discussion on how policymakers can hold algorithms accountable while accelerating adoption of AI.
Date and Time:
- Tuesday, May 22, 2018, from 1:00-2:30 PM
- 1101 K Street NW, Suite 610, Washington, DC, 20005
- Daniel Castro, Director, Center for Data Innovation (Moderator)
- Neil Chilson, Senior Fellow for Technology and Innovation, Charles Koch Institute, and former Acting Chief Technologist, Federal Trade Commission
- Joshua New, Policy Analyst, Center for Data Innovation (View slides.)
- Lauren Smith, Policy Counsel, Future of Privacy Forum
- Frank Torres, Director of Consumer Affairs, Microsoft
- Nicol Turner-Lee, Fellow, Center for Technology Innovation, Brookings