This research community forum will bring together scholars, practitioners, & thought leaders to explore the opportunities and challenges of implementing AI technologies in employee selection.

Our goal is to foster dialogue and innovative thinking by encouraging participants to: (a) critically examine how AI transforms selection practices, addressing ethical considerations, including fairness and plagiarism; (b) share insights from practitioner case studies, novel datasets, and critiques of current paradigms; and (c) brainstorm impactful directions for future research and development.

We also feature emerging research from I-O psychologists in a featured poster session, which will highlight research conducted on a variety of topics, including how AI is assisting in scoring, developing assessments, and training future HR professionals.

By fostering collaboration and forward-thinking discussions, this forum aims to inspire new ideas and equip participants to navigate the complexities of integrating AI into employee selection.

Agenda:

1:00 p.m. – 1:15 p.m.

Welcome & Introduction

Topic 1: Introductions and describing goals of research community forum (5 minutes)

Topic 2: Defining what we mean by AI in the context of employee selection (10 minutes)

Block 1
1:15 p.m. – 3:00 p.m.

Hot (& Accessible) Takes

Topic 1:Addressing Applicant Faking via AI in Prehire Assessments

  • Presentation: Overview of Applicants Using AI During Assessments (10 minutes)

Investigation into candidates’ use of GenAI constitutes cheating & how practitioners should adapt accordingly. Christina Norris-Watts, C. Caroline Moughan, & Eileen Toomey(10 minutes)

  • Thought Leader Response: Weiwen Nie, Research Consultant at Hogan Assessment Systems (10 minutes)
  • Roundtable Discussions: Address raised issues & explore resolutions (20 minutes)
  • Summary and transition to Topic 2 (15 minutes)

 

Topic 2:The Accuracy of Vendor Claims in AI-Driven Selection

  • Presentation: It Glitters, but Is it Gold?: AI Technologies in Talent Management Systems

Investigation into the public claims made on AI-based employment test vendors’ websites. Rebecca Chen, Felix Wu, Evan Mulfinger, Zihan Liu, Karyssa Courey, Tara Behrend, Charles Handler, & Fred Oswald(10 minutes)

  • Thought Leader Response: Cari Gardner, Principal, Product Science at HireVue (10 minutes)
  • Roundtable Discussions: Address raised issues and explore resolutions (20 minutes)
  • Summary: Aggregated comments & summary (10 minutes)

Block 2
3:00 p.m. – 4:00 p.m.

Coffee & Poster Session

(note: coffee and snacks available from 3:00 to 3:30 p.m.)

A self-guided showcase of diverse research, case studies, & innovative ideas on AI in employee selection.

Block 3
4:00 p.m. – 5:15 p.m.

Thinktank on Building an LLM to Serve I-O Psychology

  • Presentation: Automating Behavioral Assessment Content Creation and Scoring: Georgi Yankov (DDI), Bradley Pitcher (DDI), and Nithin Govindan Kutty Raghunath  (15 minutes)
  • Brainstorming Sessions:
    • Table Discussions: Ideate & collaborate in small groups (20 minutes)
    • Combined Brainstorming: Share & refine ideas collectively (20 minutes)
  • Wrap-Up: Summary of key takeaways & next steps (20 minutes)

5:15 p.m. – 5:30 p.m.

Closing Session

A self-guided showcase of diverse research, case studies, & innovative ideas on AI in employee selection.