Blending Data Analytics and AI: Policy Implications

The Congressional Internet Caucus Academy (CICA) is part of a private sector organization comprised of public interest groups, trade associations, non-profits, and corporations. The CICA takes no positions on legislation or regulation. Instead, the organization provides a neutral platform for thought leaders to debate important technology issues that shape legislative and administration policy in an open forum. We vigilantly adhere to our mission to curate balanced and dynamic debates among Internet stakeholders.Read more

Congressional Internet Caucus Academy

Data analytics is becoming an essential part of companies' operations, planning, and innovation. In the Internet age, companies are generating an unprecedented amount of data, and an entire industry has grown out of the need to process and understand it. How have these insights helped change the way businesses interact with consumers? What is the difference between Artificial Intelligence and Big Data, and how are these technologies used to inform decision making?
At the same time, with this new technology comes new challenges. How do the inherent biases in data sets influence analytic outcomes and decision-making algorithms? What can we do to encourage innovation when many data sets are proprietary? Join us as we explore these questions and more with a panel of experts. 
 
SPEAKERS: 
Leighanne Levensaler, Senior Vice President of Corporate Strategy, Workday
Dean Garfield, President & CEO, Information Technology Industry Council
Chris Calabrese, Vice President for Policy, Center for Democracy and Technology 
Neil Chilson, Acting Chief Technologist, Federal Trade Commission
MODERATOR: 
Joshua New, Policy Analyst, Center for Data Innovation

Date: Thursday, October 26, 2017
Time: 12:00 pm - 1:00 pm Location: Rayburn House Office Building Room 2237 Follow: <A HREF="https://twitter.com/NetCaucusAC" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">@NetCaucusAC</A> | #BigDataAI
Photo Credit: Insane Visions via <A HREF="https://www.flickr.com/photos/137099606@N02/34850475525/" TARGET="_blank" TITLE="Big Data Photo" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Flickr</A>

Rayburn House Office Building

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Blending Data Analytics and AI: Policy Implications

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