Loading Events
  • This event has passed.

How to Do Good AI and Data Science

September 24 @ 12:00 pm - 1:00 pm

The AI for Social Impact Speaker Series presents:

How to Do Good AI and Data Science
(By Living Your Ethics)

This event is part of the IT, Ethics and Law Lecture Series co-sponsored by the High Tech Law Institute and the Markkula Center for Applied Ethics.

DJ PatilSpeaker: DJ Patil, Former Chief Data Scientist of the United States, Chief Data Scientist at Devoted Health

DJ Patil served as the the first Chief Data Scientist of the United States. His efforts led to the establishment of nearly 40 Chief Data Officer roles across the Federal government, as well as to the establishment new health care programs (including the Precision Medicine Initiative and the Cancer Moonshot) and new criminal justice reforms (including the Data-Driven Justice and Police Data Initiatives).

In industry, he played key roles at companies such as LinkedIn, Skype, PayPal, eBay, and RelateIQ, was a founding board member of the Crisis Text Line (which provides on demand mental and crisis support), and was a member of the venture firm Greylock Partners. He is currently the Chief Data Scientist at DevotedHealth, and a Senior Fellow at the Harvard Kennedy School. In 2104 he was selected by the World Economic Forum as a Young Global Leader, and he is also a Member of the Council of Foreign Relations.

In this talk, DJ Patil will address the juncture between ethical ideas and practice in the field of data science, and the urgent need for the development of corporate cultures that embed considerations of fairness, the proper use of data, and the harm that can be done by inappropriate use of data, as key parts of product development.

Co-sponsored by the Artificial Intelligence Club at Santa Clara Law.

Curator: Professor Colleen Chien

High Tech Law Institute Markkula Center for Applied Ethics

Details

Date:
September 24
Time:
12:00 pm - 1:00 pm
Event Category:

    How to Do Good AI and Data Science

  • September 24
  • 12:00 pm - 1:00 pm