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 - Big Data, Big Responsibilities

    Artificial intelligence, and related forms of algorithmic decision-making and analytics, are already beginning to transform business, and beyond. With the immense power of these tools, however, comes tremendous responsibility. Problems of accuracy, liability, transparency, bias and discrimination, data protection, job displacement, manipulation, misinformation, and intellectual property violations are already prominent. Major government actors around the world are rapidly adopting new legislation and other obligations. This course identifies the major issues of AI accountability that organizations must consider, as well as the operational, legal compliance, ethical, and technical steps they can take to address them.

  • LGST6420 - Big Data, Big Responsibilities

    Artificial intelligence, and related forms of algorithmic decision-making and analytics, are already beginning to transform business, and beyond. With the immense power of these tools, however, comes tremendous responsibility. Problems of accuracy, liability, transparency, bias and discrimination, data protection, job displacement, manipulation, misinformation, and intellectual property violations are already prominent. Major government actors around the world are rapidly adopting new legislation and other obligations. This course identifies the major issues of AI accountability that organizations must consider, as well as the operational, legal compliance, ethical, and technical steps they can take to address them.

In the News

Knowledge @ Wharton

Activity

In the News

Former Levi’s CEO on Revitalizing a Brand — and the Right Way to Wash Jeans

Former Levi’s CEO Chip Bergh talks to Wharton’s Barbara Kahn and Americus Reed about reviving the iconic brand, purpose-driven marketing, and preserving your denim.…Read More

Knowledge @ Wharton - 2024/04/23
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