Speaking Engagements

In this workshop , DCI's Jone Papinchock, Ph.D. will provide a comprehensive overview of the most significant legislative and legal developments at both the federal and state level over the past two years, with a focused examination of how these changes impact employee selection, compensation, and diversity, equity, and inclusion (DEI) initiatives. Participants will gain a deeper understanding of the evolving legal landscape and the practical implications these shifts have for their organizations' HR policies and practices. 

This interactive 'Change My Mind' style debate featuring DCI's Kristen Pryor explores how practitioners can persuasively respond to skeptical stakeholders on assessment practices. Discussants address claims about interview bias, assessment value, and oral--board subjectivity, modeling evidence-based rebuttals, influence strategies, and audience dialogue to strengthen practitioners' ability to advocate for fair, valid, and defensible selection methods.

This roundtable session featuring DCI's Melissa Haudek and Kristen Pryor explores the implications of a potential revision or rescission of the Uniform Guidelines on Employee Selection Procedures for Title VII compliance, selection procedure validity, and reliance on professional judgment. Through interactive scenarios, participants will examine how employers and practitioners may navigate increased uncertainty and evolving professional standards.

This panel discussion featuring DCI's Jone Papinchock, Ph.D. will focus on the intersection between AI-based selection procedures and long-standing and emergent professional, ethical, and legal guidelines. While AI opens a host of novel questions and opportunities, panelists will describe how the foundational tenets for good practice in assessment development, validation, implementation, and maintenance follow from long-standing professional and ethical guidelines, which focus on validity, reliability, fairness, and documentation. Panelists will discuss the interplay between professional guidelines, U.S. and international legal guidelines, and evolving regulatory trends at the federal and state levels. Panelists will also highlight a range of issues related to discrimination and bias in AI systems, including algorithmic bias, audits, and mitigation, and privacy considerations, including informed consent and data security, related to AI-based assessment.

In this session, DCI's Joanna Colosimo and Sarah Layman will provide a comprehensive overview of the latest state-level developments in AI employment law and their implications for candidate selection. They'll explore how AI tools—while promising greater efficiency and effectiveness—can also introduce risks of algorithmic bias and non-compliance. Through examples, they'll discuss how organizations can proactively audit and refine their AI-driven hiring practices to ensure fairness, transparency, and legal defensibility.