Build an organization that thrives with AI, not just survives it. Discover the principles to keep your people and values at the core of your strategy while developing the necessary skills, systems, and governance to be truly AI-Ready. Leave with concrete action steps to drive immediate, human-centered change in your team.
This workshop will transition participants beyond the AI hype toward strategic, human-centered implementation, directly advancing the field of I-O psychology. The core goal is to provide a practical model for integrating classic human-centered principles—such as fairness, work design, and employee well-being—with the demands of AI data needs, governance, and upskilling. Attendees will learn how to define and operationalize human-centered AI, conduct a crucial AI-readiness assessment from a HCM perspective, and develop foundational AI governance policies. This content is directly applicable, translating abstract AI concepts into concrete I-O interventions across selection, training, and organizational change. This ensures AI adoption reinforces rather than erodes organizational culture and trust, thereby immediately advancing the attendees’ impact on the job.
Presenters
Robert Gibby is the director of Data Science at Cox Enterprises where his team focuses on creating and leveraging responsible AI solutions and insights. In leadership roles at Cox, Meta, IBM, and P&G, he developed high-performing multidisciplinary teams able to leverage data and partner cross-functionally on analytics, research, and the creation of products used by senior leaders, HRBPs, managers, and employees to be more successful, with results being recognized internally (e.g., IBM’s Cognitive Build) and externally (e.g., 3 Gold Brandon Hall Group Excellence Awards, HR Executive Magazine Best in HR Technology) as talent management disruptors improving the quality, fairness, and efficiency of talent decisions. Robert earned his PhD in Industrial/Organizational Psychology from Bowling Green State University.
Neil Morelli, PhD, is the cofounder of Workplace Labs, an AI adoption advisory focused on transforming HR. Before founding Workplace Labs, Neil served as the chief I-O psychologist at Codility, where he developed cutting-edge technical assessment solutions that helped organizations like Microsoft, Intel, and Zalando evaluate software engineering talent across 90+ programming languages. Before Codility, Neil served as the VP of Product and Assessment Science at HighMatch and the head of Assessment Science at The Cole Group, where he helped predict executive hiring success for companies including Stripe, Workday, and Atlassian. Dr. Morelli’s insights on AI and skills-based organizations appear in major publications such as Dice, TechCrunch, Forbes, and Fast Company, and his research contributions span multiple books and peer-reviewed journals.
Ketaki Sodhi, PhD, is currently the head of AI Enablement at Moody’s. Previously, as senior analyst and program manager in People Analytics at Microsoft, she led the development of agentic AI solutions and partnered with the CHRO and senior leadership to shape employee listening strategies across career, hybrid work, and AI adoption. Before Microsoft, Dr. Sodhi served as a Talent Management and Decision Science specialist at Johnson & Johnson, creating enterprise-wide talent frameworks presented to the CHRO and board, and as chief operating officer at the Center for Organizational Research. Dr. Sodhi’s insights on AI and people analytics have been published in Harvard Business Review and WorkLab. She advises Harvard Business School’s D3 Institute Responsible AI Council and teaches Human Capital Analytics at New York University. Dr. Sodhi earned her PhD in Industrial/Organizational Psychology from the University of Akron.
Level
Intermediate
Learning Objectives
- Identify at least three organizational readiness factors that must be assessed before implementing AI systems in human capital management
- Design a change management process for introducing AI tools that addresses employee and data concerns while building organizational buy-in
- Develop an upskilling plan that prepares employees and leaders to work effectively alongside AI technologies
- Create three practical adoption strategies for integrating AI into existing organizational processes while maintaining human-centered values
- Identify opportunities to leverage AI to infer or create missing data needed to fuel downstream AI adoption
Topic
2026 Annual Conference
Times Offered
All times are in
timezone.
- Wed Apr 29th 8:00 a.m. to 12:00 p.m.
- Wed Apr 29th 1:00 p.m. to 5:00 p.m.
Delivery Type
In-Person
Workshop Coordinator
Jeff Labrador, Humancore
Add to Calendar
All times are in
timezone.
