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Congressional Staff Briefing on Artificial Intelligence (AI)

Event Type: Offline,Online

Event Organizer: RegulatingAI

Mar 29,2024 @ 09:30 to Mar 29,2024 @ 12:00
Gold Room (Room 2168) of the Rayburn House Office Building
45 Independence Avenue SW, Washington, DC 20515.

Description

This AI Briefing is organized by Regulating AI and will consist of two panels. Our first panel will focus on Non-US Regulatory Approaches to AI and include senior speakers from the EU, India, and Africa.

Our second panel will address Ethical Considerations of Importance with AI and include Dr. Darrell M. West, Senior Fellow – Center for Technology Innovation, Douglas Dillon Chair in Governmental Studies at the Brookings Institution; Dr. Carol J. Smith, AI Division Trust Lab Lead and Principal Research Scientist, Human-Machine Interaction, Software Engineering Institute, Carnegie Mellon University; and LTC Paul Lushenko, Assistant Professor and Director of Special Operations at the U.S. Army War College.

We look forward to your attendance in this very informative event. While we are encouraging in-person participation, you will be able to participate remotely as well.

Regulating AI is a 501(c)(3) organization dedicated to mobilizing and involving grassroots voices in the global framing of AI legislation and regulation. Regulating AI was founded to foster a meaningful social compact between governing bodies and the people who access it and are impacted by it. Together we can shape the growth of AI for the benefit of society as a whole right now and for many years to come.

For any additional questions, please contact Regulating AI’s Manager Izabella Sabharwal izabella@regulatingai.org or +1 (202) 316-7792

RegulatingAI, a non-profit organization, is dedicated to establishing a platform for grassroots advocacy concerning artificial intelligence (AI) regulation. We serve as a bridge connecting AI experts, researchers, corporations, NGOs, academicians, students, and enthusiasts. RegulatingAI is committed to harnessing the power of shared knowledge to construct a responsible and ethical AI ecosystem.

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