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Hybrid Intelligence and Enhancing Performance Breakfast Workshop

February 10, 2027 8:00 AM - 12:00 PM (CST)

Description

Wednesday, February 10, 2027, 8:30–11:55 a.m. 
Houston Marriott Westchase, 2900 Briarpark Drive, Houston, Texas

Hybrid Intelligence and Enhancing Performance Breakfast Workshop

The HR AI questions your organization is already facing, worked through with scholars and practitioners who are facing them too.

Most HR teams are now being questioned about their plans regarding AI. This half-day session considers people and machines as a unified system that must be intentionally designed. It presents two key questions: how to structure the work effectively and what leaders need to do once a true team operates within that framework.

Agenda

Topic One    9:10 – 10:05

Redesigning work, not roles

Most organizations respond to AI by rewriting job descriptions. This session looks deeper. Using sociotechnical systems as the framework, a scholar and a practitioner redesign the combined human-machine system itself: how tasks are allocated between people and machines, where human judgment must remain non-negotiable, and how the workflow is structured once both are in it.

Topic Two    10:15 – 11:15

Integration of AI to drive leadership success

Adoption is a decision. Integration is a practice. This session addresses what AI integration requires from leaders: sponsoring efforts and preparation to ensure successful adoption, deciding where the machine's input ends and the leader's influence begins, and understanding the impacts at the team level, including trust, voice, and performance.

What you leave with

  • A clearer understanding of how AI and employees can work together to improve performance.
  • A closer look at how scholars and practitioners collaborate to solve today's workforce challenges.
  • A view of how others in your field are addressing the same topic.

Register by January 29th

$75 members, $95 non-members

For HRD scholars and practitioners working on AI adoption, work design, or leadership development, and for anyone currently being asked what their organization plans to do about AI. 

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Contact Information

AHRD
Name: Sue Yoemans
Email: office@ahrd.org
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