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Wharton Aresty Institute of Executive Education

Strategies for Accountable AI

  • up to 9 weeks
  • Advanced
  • Cohort-based

Strategies for Accountable AI provides a comprehensive roadmap for effective AI oversight, enabling executives to implement systems that are responsible, safe, and legally compliant. Gain practical frameworks to address issues such as accuracy, risk, transparency, and fairness, while leveraging AI's capabilities to boost business success.

  • AI governance
  • Legal compliance
  • Risk management
  • Data privacy
  • Bias mitigation

Overview

This program equips executives with essential tools to navigate AI complexities, offering insights from data science, law, psychology, and strategy. Participants will learn to anticipate AI controversies, mitigate risks, and assess their organization's AI readiness. The course includes a capstone project to apply learnings in real-world scenarios.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    English
    course language
  • Professional Certification
    upon course completion
  • Part-time
    course format
  • Live classes
    delivered online

Who is this course for?

Executives

Executives adopting, evaluating, or expanding AI systems either by implementing commercially available AI platforms or utilizing their own development efforts.

Entrepreneurs

Entrepreneurs working in the AI space seeking to understand AI's business risks and benefits.

Legal and Compliance Professionals

Professionals seeking to understand the legal and ethical implications of AI in their organizations.

Gain a competitive edge by mastering AI governance and risk management. This program is ideal for executives and professionals seeking to understand AI's legal and ethical implications, ensuring responsible AI implementation in their organizations.

Pre-Requisites

1 / 3

  • Fluency in English, written and spoken

  • Mid- to senior-career level experience

  • Interest in AI systems and their implementation

What will you learn?

The AI Dynamic Landscape
Explore market trends and technological insights in AI.
Frameworks for Accountable AI
Understand AI laws, regulation, and governance.
When AI Goes Wrong
Learn about accuracy, risk, and transparency in AI systems.
Data Acquisition
Discuss privacy, copyright, licensing, and the AI supply chain.
Fairness, Bias, and Discrimination
Examine how bias can manifest in machine-learning models.
Abusive Practices
Identify manipulation, misinformation, and market power issues.
The Human Dimension
Understand how AI changes work and consumer experiences.
Techniques and Strategies for Accountable AI
Develop strategies to ensure AI systems are safe and responsible.

What learners say about this course

  • I researched several AI programs before choosing Wharton’s Strategies for Accountable AI, and I couldn’t be happier with my decision. The program provided a deep dive into AI’s foundations, tools, and ethical considerations — all in one course. The content was incredibly robust, and the hands-on assignments made the learning experience even more valuable. I highly recommend it.

    James Rabon

    Director, NetApp GMP Graduate

  • I found the program incredibly valuable. It offers deep insights into ethical AI practices, which are increasingly critical in our tech-driven world. If you’re considering it, know that you’ll walk away with practical knowledge and a new perspective on responsible AI implementation. Overall, the experience was enlightening and impactful. I highly recommend the course to anyone interested in elevating AI accountability in their organization.

    Cheryl Baxter

    VP Head of Corporate Advocacy, S&P Global

  • As a member of the inaugural cohort of Strategies for Accountable AI, I gained invaluable insights into the complex landscape of responsible AI. The program provided a crucial framework for anticipating and mitigating AI risks, blending perspectives from law, psychology, data science, and strategy. I particularly appreciated the focus on the human element in AI adoption and the practical tools, like the AI Impact Assessment, for real-world application. I learned about global AI regulations and how they influence strategy. I chose this program to gain a competitive edge in this rapidly evolving field, and it exceeded my expectations. The interdisciplinary approach and focus on practical application were invaluable. I highly recommend this program to any professional looking to navigate the ethical and strategic challenges of AI.

    Peter Adebi

    Senior Vice President, Chief Human Resources and Diversity Officer, Cincinnati Children's

Meet your instructors

  • Kevin Werbach

    Academic Director, The Wharton School

    Liem Sioe Liong/First Pacific Company Professor; Professor and Department Chairperson of Legal Studies & Business Ethics, The Wharton School.

  • Hamsa Bastani

    Associate Professor, The Wharton School

    Associate Professor of Operations, Information and Decisions; Associate Professor of Statistics and Data Science, The Wharton School.

  • Scott Snyder

    Chief Digital Officer, EVERSANA

    Senior Fellow, Management Department, The Wharton School; Adjunct Faculty, The Moore School of Engineering, University of Pennsylvania.

Upcoming cohorts

  • Dates

    Mar 30 — Jun 1, 2026
  • Dates

    Sep 25 — Nov 20, 2026

$8,000