Mihir Kshirsagar

Mihir Kshirsagar
  • Lecturer

Contact Information

  • office Address:

    600 Jon M. Huntsman Hall
    3730 Walnut Street
    Philadelphia, PA 19104

Overview

I work with a group of interdisciplinary scholars at Princeton’s Center for Information Technology Policy helping build the intellectual infrastructure for a healthy relationship between digital technology and society.

At CITP, I run our tech policy clinic that trains the next-generation of public-spirited technologists. My research focuses on how we can use technology ethically to promote accountability and empower users.

In particular, I study the following broad questions with the goal of developing pragmatic responses to these difficult challenges:

  • how do we protect consumers from being exploited by online services?
  • how do we promote the responsible use of machine learning?
  • how should we design products and services that treat individuals with dignity?
  • how do we ensure that the power of online gatekeepers are held in check?
  • how do we create online spaces that respect democratic values?

I welcome opportunities to talk to students about their interest in tech policy and potential career options.

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Teaching

Past Courses

  • LGST2420 - Accountable AI

    Artificial intelligence is reaching into all aspects of our lives, and transforming how businesses decide, communicate, and act. Yet for all its benefits, AI generates significant risks and raises substantial legal, ethical, and societal challenges. What steps can be taken to anticipate, identify, mitigate, and remediate AI harms? And when something goes wrong involving AI, who is accountable? In this course, we will work through how AI systems break, who answers when they do, and what evidence makes answering possible.

  • LGST6420 - Accountable AI

    Artificial intelligence is reaching into all aspects of our lives, and transforming how businesses decide, communicate, and act. Yet for all its benefits, AI generates significant risks and raises substantial legal, ethical, and societal challenges. What steps can be taken to anticipate, identify, mitigate, and remediate AI harms? And when something goes wrong involving AI, who is accountable? In this course, we will work through how AI systems break, who answers when they do, and what evidence makes answering possible.

In the News

Knowledge @ Wharton

Activity

In the News

How AI Is Reshaping the Stock Market

Jeremy Siegel, Wharton Emeritus professor of finance, discusses interest rates, AI-driven market volatility, and why diversification is essential for investors.…Read More

Knowledge @ Wharton - 2026/10/30
All News