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April 2019

Friday, April 12, 2019
@9:00 am
- 5:30 pm
Maeder Hall
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CITP/UN Conference – Social Protection by Artificial Intelligence: Decoding Human Rights in a Digital Age

Governments around the world are increasingly investing in the development and use of Artificial Intelligence and other digital technologies to govern. As most modern states spend a significant proportion of their annual budget and gross domestic product on social protection policies, it is not surprising that social...

Tuesday, April 16, 2019
@12:30 pm
- 1:30 pm
Sherrerd Hall, 3rd floor open space
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Photo of Annette Zimmermann

CITP Luncheon Speaker Series: Annette Zimmermann – What, If Anything, Is Wrong With Automation?

If we can automate decisions occurring at key junctures in our democratic institutions and processes, and if we can do so in a sufficiently accurate, fair, and transparent way, what’s wrong with automation? More specifically, is automation objectionable only if, and because, it may lead to inaccurate, unfair...

Tuesday, April 23, 2019
@4:30 pm
- 6:00 pm
Friend Center Convocation Room
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CITP Lecture Series: Christopher A. Hart – Automation Challenges for Autonomous Vehicles

Nearly 40,000 people are killed in the U.S. every year in motor vehicle crashes. Experts estimate that more than 90% of motor vehicle crashes involve human error, and the theory is that by replacing human drivers with automation, this tragic human toll will largely be eliminated. While this theory is overly...

October 2019

Wednesday, October 2, 2019
@6:00 pm
Maeder Hall, Room 002
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The G.S. Beckwith Gilbert ’63 Lectures: General John R. Allen USMC (Ret.) – AI on the Battlefield: Ethics and Rules of Engagement

A conversation with General John R. Allen USMC (Ret.), President, Brookings Institution; Former Commander, ISA and US Forces, Afghanistan and Edward W. Felten, Robert E. Kahn Professor of Computer Science and Public Affairs.

March 2023

Tuesday, March 28, 2023
@12:30 pm
- 1:30 pm
306 Sherrerd Hall
Fall 22 Fellow Per Jakob Mokander

CITP Seminar: Jakob Mökander – Auditing Large Language Models

The emergence of large language models (LLMs) represents a major advance in artificial intelligence (AI) research. However, the widespread use of LLMs is also coupled with significant ethical and social challenges. Previous research has pointed towards auditing ...