Responsible AI in Practice

Balance innovation with integrity through frameworks that reduce bias and build trust

Top Takeaways

Identify key risks and challenges in AI adoption.
Learn principles of human-centered and responsible AI.
Explore real-world cases of ethical AI successes and failures.
Practice applying an ethical framework to an AI use case.
Build a checklist to guide responsible AI implementation.

Class Overview

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AI offers organizations powerful new tools—but it also introduces complex questions around ethics and accountability. In “Responsible AI in Practice,” participants will examine how bias, trust, and fairness shape AI systems and their real-world impact. Through practical frameworks and group discussion, the class explores the risks and challenges leaders face when bringing AI into existing processes. Participants will learn core principles...

Available Class FormatsPeople Count

Facilitated Learning

Best for employees who like to listen with some engagement and discussion throughout.

Best for teams up to 90 people

Class Durations

Flexible class lengths to meet your team’s needs.

60Mins
75Mins
90Mins
2Hours

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Aviva L.

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