The Human Work of AI Leadership
As AI becomes more embedded in how organizations work, the biggest questions are no longer just technical. They are tough leadership challenges encompassing how we protect human dignity, judgment, trust, and opportunity during a period of rapid change.Hosted by the AnalytiXIN Responsible AI Community of Practice, this session kicks off an ongoing webinar series focused on cross-industry practical applications and best practices for responsible AI. This first conversation is designed to provide a grounding framework before future sessions move more deeply into implementation, where technical and leadership concerns increasingly intersect.
Designed for corporate governance audiences, executives, and stakeholders who manage up or influence leadership decisions, this discussion will explore what responsible AI leadership requires across industry, higher education, and philanthropy. Grounded in real-world concerns about fallibility, bias, deep fakes, accountability, and workforce change, the session will move beyond hype and fear to focus on practical stewardship.
Participants will leave with a stronger framework for thinking about what AI can do, what it should not replace, and how leaders can guide adoption in ways that keep people at the center.
Responsible AI Community of Practice
Facilitators
Event Details
The Human Work of AI Leadership
As AI becomes more embedded in how organizations work, the biggest questions are no longer just technical. They are tough leadership challenges encompassing how we protect human dignity, judgment, trust, and opportunity during a period of rapid change.Hosted by the AnalytiXIN Responsible AI Community of Practice, this session kicks off an ongoing webinar series focused on cross-industry practical applications and best practices for responsible AI. This first conversation is designed to provide a grounding framework before future sessions move more deeply into implementation, where technical and leadership concerns increasingly intersect.
Designed for corporate governance audiences, executives, and stakeholders who manage up or influence leadership decisions, this discussion will explore what responsible AI leadership requires across industry, higher education, and philanthropy. Grounded in real-world concerns about fallibility, bias, deep fakes, accountability, and workforce change, the session will move beyond hype and fear to focus on practical stewardship.
Participants will leave with a stronger framework for thinking about what AI can do, what it should not replace, and how leaders can guide adoption in ways that keep people at the center.