Description
In this episode, Dan and Gaurav are joined by Kathy Guarini to discuss how leadership must evolve as artificial intelligence becomes embedded in everyday organizational decision-making.
Kathy brings extensive leadership experience in enterprise technology and research, including serving as Chief Information Officer at IBM, where she led large-scale technology, AI, and digital transformation initiatives.
----more----Episode Overview
This conversation examines leadership as a design challenge, rather than a technology adoption problem. The discussion focuses on how leaders can intentionally design systems, roles, and decision processes that preserve human judgment, accountability, and ethical responsibility as AI capabilities scale.
The episode situates “human-in-the-loop” as an organizational and leadership concern—not solely a technical safeguard.
Topics Covered
Human-in-the-loop as a leadership responsibility
Designing organizational systems alongside AI tools
How leadership decisions shape AI outcomes
Algorithmic bias and unintended consequences
Facial recognition systems as a case example
AI literacy as a leadership competency
The limits of analogy-based reasoning about AI
Accountability in AI-supported decision-making
Key Takeaways
AI outcomes reflect leadership and design choices.
Human judgment must be intentionally built into systems.
Leaders remain accountable for decisions supported by AI.
AI literacy is increasingly essential for effective leadership.
Ethical responsibility cannot be delegated to technology alone.
Examples & References Discussed
Facial recognition bias and the work of Joy Buolamwini
Research and advocacy from the Algorithmic Justice League
Enterprise-scale AI and technology leadership contexts
Resources & Mentions
Algorithmic Justice League:https://www.ajl.org
IBM:https://www.ibm.com
Stay curious. Stay human.