Artificial Intelligence (AI) is at the center of nearly every conversation about innovation today from promise and opportunity, to the acceleration and organizational transformation. With every step forward on the path, we must also consider the paths not travelled as well as those above, beyond, and alongside us.

As the use of AI continues to evolve at an unprecedented pace in every facet of society, we have to balance the drive for innovation with the need to maintain trust, transparency, and accountability.

We discuss four key questions: Is AI fair? Who is in control? What does AI know about you? What's at stake? Through a deeper analysis and discussion of modern day cases studies, we can reflect on the pitfalls and wins of AI as such advanced technology permeates our everyday lives.

This session is co-presented with Ivan Milanov: https://sessionize.com/ivan-milanov

Learning objectives:
-Identify the key ethical risks associated with AI, including algorithmic bias, privacy, human autonomy, and broader societal impacts.
-Apply four practical ethical decision-making frameworks to evaluate AI systems and their real-world outcomes.
-Analyze real-world AI case studies to distinguish between responsible AI practices and situations where inadequate governance resulted in harmful outcomes.
-Evaluate the importance of transparency, human oversight, explainability, and accountability when AI influences high-stakes decisions.
-Identify practical actions that individuals and organizations can take to promote ethical, transparent, and trustworthy AI use.