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CISxScholars Delhi - Harsh Gupta - FAT ML for Lawyers and Lawmakers (June 29, 5:30 pm)

by Sumandro Chattapadhyay — last modified Jun 27, 2017 09:16 AM
We are proud to announce that Harsh Gupta will discuss "FAT ML (Fairness, Accountability, and Transparency in Machine Learning) for Lawyers and Lawmakers" at the CIS office in Delhi on Thursday, June 29, at 5:30 pm. This will be a two and half hour session: beginning with a 45 minute talk, followed by 15 minute break, another talk for 45 minutes, and then a discussion session. Please RSVP if you are joining us: <[email protected]>.

Event details

When

Jun 29, 2017
from 05:30 PM to 08:00 PM

Where

The Centre for Internet and Society, first floor, B 1/8, Hauz Khas, New Delhi, 110016

Contact Name

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CISxScholars are informal events organised by CIS for presentation, discussion, and exchange of academic research and policy analysis.

FAT ML (Fairness, Accountability, and Transparency in Machine Learning) for Lawyers and Lawmakers

From tagging people in photos to determining risk of loan defaults, use of data based tools is affecting more and areas of our lives. In some areas there have been very successful applications of such tools, in others areas they has been found to not only reflect the existing bias and discrimination found in today's society but also exaggerate it.

Harsh Gupta

Harsh Gupta is a recent graduate from IIT Kharagpur with B.Sc and M.Sc in Mathematics and Computing and will be joining JP Morgan and Chase as a data scientist. He completed his master's thesis in "Discrimination Aware Machine Learning". He was also an intern at The Center for Internet and Society during summer of 2016.