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Machines That Learn: Can They Also Be Taught Human Values?

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Rayburn House Office Building

Rayburn House Office Building

Room 2045

Washington, DC 20515

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Machines That Learn: Can They Also Be Taught Human Values?


in conjunction with:
The Congressional Artificial Intelligence Caucus
Tuesday, November 7, 2017
Rayburn 2045
12:00 PM - 1:00 PM


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.

Lunch will be served.


Remarks by:
Congressman John K. Delaney (D-MD)
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Co-Chair, Congressional Artificial Intelligence Caucus
Congressman Pete Olson (R-TX)

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Co-Chair, Congressional Artificial Intelligence Caucus


Panel Speakers:

  • Mark MacCarthy: Senior Vice President for Public Policy, SIIA

  • Kay Firth-Butterfield: Vice-Chair, Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems, IEEE

  • Speaker Name, Speaker Title, Carnegie Mellon University (CMU)

  • David LeDuc: Senior Director of Public Policy, SIIA (Moderator)


This event is designed to be widely attended and in compliance with all Congressional Ethics rules.

This event will be provided at no cost by the
Software & Information Industry Association.

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Rayburn House Office Building

Rayburn House Office Building

Room 2045

Washington, DC 20515

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