Minimum Acceptable AI Governance

As your organization explores the potential of AI, it's crucial to address the unique risks these technologies present. This workshop is designed for those who are looking to implement AI responsibly and effectively.

We'll delve into the critical need for evaluating and adapting your current governance practices in the context of AI. We'll explore key risk areas, such as data privacy and security, hallucinations and misinformation, and bias that require particular attention when integrating AI systems.

Introducing the concept of Minimum Acceptable Governance (MAG), you'll learn the basics of how to establish a tailored governance framework that meets your organization's specific needs and maturity level. This ensures you have the right amount of oversight and control at each stage of your AI journey, without stifling innovation.

Join us to gain valuable insights on navigating the complexities of AI governance and ensuring your company's success in this transformative era.

Executives and senior leaders involved with or concerned about the implementation of AI at their organizations.

AI presents a transformative opportunity for your organization, but it also comes with significant risks. From data security and privacy concerns to potential bias and societal harm, unmanaged AI implementations can have severe consequences.

Leading organizations worldwide are prioritizing robust AI governance frameworks to ensure ethical, safe, and sustainable AI development and deployment. Evolving regulations will soon make these frameworks a necessity, not an option.

By proactively establishing strong AI governance, that can evolve as you and your use of AI evolve, your organization can mitigate risks, build trust, and unlock the full potential of AI to drive innovation and competitive advantage.

A presentation and set of in-class exercises to explore the risks of AI, as well as methods for beginning your own governance framework to address these risks. 

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