Predicting 2030: What’s Next for Ethical AI

#DataDrivesImpact

Today, AI is emerging everywhere: facial recognition software, pandemic outbreak intelligence and mitigation, access to credit, and health condition detection are just a few examples. As these technologies grow and develop, will we as a society be able to build consensus on what constitutes Ethical AI, and create regulatory practices and new norms? And beyond that, how can we assimilate the best of AI and mitigate potential ill effects of this technology?

Join Pew Research Center and data.org for a webinar launch of a new Pew Research Center report, Ethical AI Design In the Next Decade. In this session, Lee Rainie, Director of Internet and Technology Research at Pew Research Center, will reveal highlights from a canvassing of over 600 technology innovators and developers, business and policy leaders, researchers and activists. data.org executive director Danil Mikhailov will lead a discussion among a panel of experts and explore what can be done to embrace ethics in AI design and set the stage for data science and AI to create positive advances in the social sector.

Featured Panelists

Nicol-Turner-Lee

Senior Fellow, Center for Technology Innovation, The Brookings Institution

LNM_Headshot.23d6b3ae

Founder and Managing Director, Accel Impact

Senior Director, Data Science, Seagen, Inc. and Chair, Data Science Nigeria

Associate Professor and Director of the Digital Public Infrastructure Initiative, U Mass Amherst

DATE & TIME

June 16 12:00pm ET