CIO Mind, The Gartner CIO Podcast

How to Build Better Relationships With Machines

Episode Summary

This episode of the CIO Mind Podcast explores the future of AI and leadership, focusing on human-machine relationships — how we interact with and relate to one another. Learn how to design healthy collaborations and proactively define ethical boundaries while supporting human and machine talent.

Episode Notes

This episode explores: 

• How far off is the day that we wake up and go to work for a machine — and is that what we want? (01:19)
• What are some dangerous or unexamined assumptions leaders are making about AI? (05:37)
• How do we prepare for and think about the consequences of our human-machine relationships? (08:15)
• The need for an equal and opposite focus on human expertise and skills, not just machine expertise and skills (12:05)
• There is a growing shift from designing machines to attract attention to building intimate human-machine relationships (16:15)
• How do we design for better and healthier human-machine relationships? (20:50)

Mary Mesaglio is a Distinguished Vice President Analyst in Gartner’s Executive Leadership of Digital Business team. Mary’s work focuses on digital-era culture transformation, emphasizing executive teams’ roles in driving change, innovation and digital transformation. With a keen interest in the intersection of psychology, neuroscience and behavioral economics, Mary’s research aims to apply these disciplines in corporate settings. A frequent and engaging keynote speaker, Mary effectively communicates complex concepts to a broad audience, aiding organizations in harnessing behavioral science for effective leadership and change.

The rapidly developing world of AI is shifting the way we live, work and interact — with one another and with machines. Gartner analyst Mary Mesaglio explores this shift and what it means for leadership’s approach to both human and machine talent. Mary also discusses vital factors for healthy and beneficial human-machine relationships, provides key questions to consider as we approach unexplored territory, and focuses on how leadership can boost machine capability and the human experience.