Dear Colleagues and Friends,

This week, we have the honour to host Prof. Rachel Cummings with an invited Speech title of <"I need a better description": An Investigation Into User Expectations For Differential Privacy> in our AI colloquium.

This may be of your interest or any of your colleagues/assistants in your group.

Please do not forget to register to this event by today, 22.02.202Today is the last chance to register to this event through http://tiny.cc/ai210216. For further details, please check the following message.



******apologies for cross-postings******

As a part of AAISI activities (the Association for AI in Science and Industry), we host invited speakers from academia and industry in our AI Colloquium.

Due to the current pandemic situation, the AI colloquium takes place online,. In this regard, we decided to open the invited speeches to the public for FREE, even for those who are not yet the AAISI member.

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The Association for AI in Science and Industry (www.aaisi.org)
The AI Colloquium - Invited Speech

Participation is FREE and OPEN to all.
Prior REGISTRATION is required.

Registration Deadline: February 22, 2021
Registration Link: http://tiny.cc/ai210216
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Invited Speaker: Prof. Dr. Rachel Cummings
Columbia University

Title:
"I need a better description": An Investigation Into User Expectations For Differential Privacy

Speaker's Bio:
Dr. Rachel Cummings is an Assistant Professor of Industrial Engineering and Operations Research at Columbia University. She was formerly an Assistant Professor of Industrial and Systems Engineering and Computer Science (by courtesy) at Georgia Tech. Her research interests lie primarily in data privacy, with connections to machine learning, algorithmic economics, optimization, statistics, and information theory. Her work has focused on problems such as strategic aspects of data generation, incentivizing truthful reporting of data, privacy-preserving algorithm design, impacts of privacy policy, and human decision-making. Dr. Cummings received her Ph.D. in Computing and Mathematical Sciences from the California Institute of Technology, her M.S. in Computer Science from Northwestern University, and her B.A. in Mathematics and Economics from the University of Southern California.  She is the recipient of an NSF CAREER award, JP Morgan Chase Faculty Award, a Google Research Fellowship for the Simons Institute program on Data Privacy, a Mozilla Research Grant, the ACM SIGecom Doctoral Dissertation Honorable Mention, the Amori Doctoral Prize in Computing and Mathematical Sciences, a Caltech Leadership Award, a Simons Award for Graduate Students in Theoretical Computer Science, and the Best Paper Award at the 2014 International Symposium on Distributed Computing.   Dr. Cummings also serves on the ACM U.S. Public Policy Council's Privacy Committee.

For further questions and requests, please contact my colleagues at the Help-desk by email to events [AT] aaisi [DOT] org


On behalf of
Asst. Prof. Dr. Mahdi Bohlouli
General Chair
Association for Artificial Intelligence in Science and Industry
WEB: www.aaisi.org