Deciding with Data: How Society Can Use Algorithms to Make Better Choices

Tuesday, November 17, 2015 - 9:00 AM to 10:30 AM
Information Technology and Innovation Foundation
1101 K Street NW, Suite 610A
Washington, DC 20008

Using software to solve complex problems by analyzing data—known as algorithmic decision-making—offers incredible potential for the public and private sectors to operate more effectively, efficiently, and equitably. For example, the technology has helped streamline wait lists for life-saving organ transplants, improve policing by predicting crime hotspots, and better target charitable giving to the poorest households in rural Kenya.

Despite these benefits, skeptics argue algorithmic decision-making will be inherently exploitative, discriminatory, or simply unreliable, and thus in need of greater government oversight. But countless real-world examples of algorithms unlocking tremendous social and economic benefits indicate otherwise: algorithms can be more effective and less biased than humans when it comes to making important decisions.

Join the Center for Data Innovation for a panel discussion about how public and private sector leaders are using algorithms to make better decisions and what an increasingly data-driven world means for the future of algorithmic decision-making. 

11/17/2015 09:0011/17/2015 10:30Deciding with Data: How Society Can Use Algorithms to Make Better ChoicesMM/DD/YYYY
Courtney Bowman
Co-Director of Privacy and Civil Liberties Engineering
Palantir Technologies
Madeleine Clare Elish
Research Analyst
Data & Society Institute
Greg Godbout
Chief Technology Officer and U.S. Digital Services Lead
Environment Protection Agency
Joshua New
Former Senior Policy Analyst
ITIF’s Center for Data Innovation
Robert Sutor
Vice President of Business Solutions and Mathematical Sciences
IBM Research