Sending Office: Honorable John K. Delaney
You Are Invited
Tuesday, 7 November 2017
Noon – 1:30pm
2045 Rayburn House Office Building
The Software & Information Industry Association and IEEE-USA present a Luncheon Briefing on
Machines that Learn: Can They Also Be Taught Human Values?
Hosted by SIIA and IEEE in Conjunction with the
Congressional Artificial Intelligence Caucus
Featuring Opening Remarks by Congressman John K. Delaney (co-chair of the AI Caucus) and Congressman Pete Olson (co-chair of the AI Caucus)
You are cordially invited to a luncheon briefing to discuss ethics and privacy issues related to artificial intelligence. Artificial Intelligence (AI) and machine learning have already begun to change the way that we live, work, and learn. These technologies
have been developing rapidly over the last several years, and they pose great promise beyond traditional big data algorithms, based on the ability to “learn” or be taught. But like many other cutting-edge technologies with great promise of transformational
benefits, AI also presents challenges and raises concerns about unexpected or undesirable outcomes.
Therefore, it is critical to promote ethical methodologies where data-enabled decisions are consequential for people’s lives. By developing and promoting ethical industry standards in the creation of these technologies, we can help alleviate concerns, avoid
unexpected or undesirable outcomes, and ensure that AI is accountable and tracks the values of its users and society as a whole.
This luncheon will feature a group of experts discussing ongoing efforts to enable the use of AI to solve critical challenges while aligning outcomes to our moral values and ethical principles. We will also discuss how policymakers can encourage the responsible
advancement of AI to benefit society and help to promote an elevated level of trust as AI technology becomes a critical element in all aspects of our daily lives.
12PM – OPENING REMARKS
Congressman John K. Delaney (D-MD-06)
Congressman Pete Olson (R-TX-22)
Moderator – David LeDuc: Senior Director of Public Policy, SIIA
- Mark MacCarthy: Senior Vice President for Public Policy, SIIA
Mark MacCarthy directs SIIA’s public policy initiatives in the areas of intellectual property enforcement, information privacy, cybersecurity, cloud computing and the promotion of educational technology. He is also an adjunct faculty
member at Georgetown University, where he teaches courses in information privacy and tech policy in the Communication, Culture, and Technology Program, and courses in political philosophy in their Philosophy Department.
- Kay Firth-Butterfield: Vice-Chair, Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems, IEEE
Kay Firth-Butterfield is a Barrister and part-time Judge who has worked as a mediator, arbitrator, business owner and professor in the United Kingdom. In the United States, she is the Executive Director and Founding Advocate of AI-Austin
which is a non-profit dedicated to the development of laws and ethics around the development and use of AI and socially beneficial use of AI the community specifically in Healthcare and Education. She is the former Chief Officer of the Lucid.ai Ethics Advisory
Panel. Kay is a Senior Fellow and Distinguished Scholar at the Robert S. Strauss Center for International Security and Law, University of Texas, Austin and Vice-Chair, The IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous
Systems Additionally, she is a Partner in the Cognitive Finance group and an adjunct Professor of Law.
- David Danks: Department Head, Department of Philosophy, Carnegie Mellon University
David Danks is the L. L. Thurstone Professor of Philosophy & Psychology, and Head of the Department of Philosophy, at Carnegie Mellon University. He works at the intersection of philosophy, cognitive science, and machine learning,
integrating ideas, methods, and frameworks from each to advance our understanding of complex, cross-disciplinary problems. Most recently, Danks has used interdisciplinary approaches to address the human and social impacts when autonomous capabilities are introduced
into technological systems, whether self-driving cars, autonomous weapons, or healthcare robots. His work is both theoretical and practical, including collaborations with industry groups and government agencies. His earlier work on computational cognitive
science resulted in his book, Unifying the Mind: Cognitive Representations as Graphical Models, which developed an integrated cognitive model of complex human cognition.
This is a widely attended event and open to all Members and staff.
This event is designed to be widely attended and in compliance with all Congressional Ethics rules.
The event is sponsored by Software & Information Industry Association and IEEE-USA.
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