Radha Plumb

Radha Plumb
  • Adjunct Professor

Contact Information

  • office Address:

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

Teaching

Current Courses (Fall 2025)

  • 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.

    LGST2420001 ( Syllabus )

  • 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.

    LGST6420002 ( Syllabus )

All 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.

Knowledge at Wharton

Monetizing AI Platforms: Freemium Models, Sponsored Bots, and Beyond

Wharton marketing professor discusses how companies are approaching monetization, consumer trust, and sustainability in artificial intelligence.Read More

Knowledge @ Wharton - 9/3/2025
How Financial Frictions Can Delay Firm Growth

Wharton's Thomas Winberry explains how financial constraints can delay innovation and long-term growth for firms, as well as the economy.Read More

Knowledge @ Wharton - 9/2/2025
What’s the Real Value of AI?

In a recent episode of Where AI Works, Wharton’s Serguei Netessine spoke with Tereza Nemessanyi from Microsoft about how the firm is trying to help its customers deploy and monetize AI.Read More

Knowledge @ Wharton - 9/2/2025