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If you attended the luncheon on Oct.1, please contact monica@ohiosap.org to register.

In an era where diversity, equity and inclusion (DEI) initiatives are increasingly met with skepticism, organizations face a critical crossroads in fostering inclusive and high-performing environments.

This presentation examines the growing resistance against traditional DEI programs, analyzes the core objectives of DEI—enhancing hiring practices, promotions and team collaboration—and presents a compelling case for transitioning to science-based decision-making frameworks.

The presentation will explore how decision-making frameworks can be seamlessly integrated into organizational policies, ensuring fairness and transparency while promoting meritocracy. Attendees will also gain insights into the long-term advantages of adopting decision-making frameworks, such as enhanced employee morale, retention of diverse talent and sustained organizational success in a polarized landscape.

Key Takeaways:

• Distinguish the major causes of organizational skepticism toward traditional DEI programs and explain why superficial rebranding fails to solve them.
• Describe science-based decision frameworks and bias-mitigation techniques that rely on documented criteria, metrics and transparent processes.
• Design a structured hiring process, which encompasses job analyses, standardized rubrics and panel interviews, that improves fairness while meeting legal requirements.
• Build an evidence-based performance and promotion system that uses documented evaluations, calibration and appeal paths to reduce bias and increase trust, and more.
  
  

_{About the speaker:}

Dr. Gleb Tsipursky, called the "Office Whisperer" by The New York Times, helps association leaders replace overpriced vendors with staff-built AI solutions. He serves as the CEO of the future-of-work consultancy Disaster Avoidance Experts. He has written seven best-selling books and is working on a new book, "The Psychology of Generative AI Adoption."

 

Continuing Education Credits:

Submitted for 1.5 CAE hours.  Online=1.5 hours