This research community forum will bring together scholars, practitioners, and 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 and 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 (and Accessible) Takes

Topic 1:Addressing Applicant Faking via AI in Prehire Assessments

  • Presentation: Overview of Applicants Using AI During Assessments (10 minutes)
  • Assessments: Investigation into candidates’ use of GenAI constitutes cheating and 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 and 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. Chen, Wu, Mulfinger, Liu, Courey, Behrend, Handler, & Oswald (10 minutes)
  • 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 and 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, and 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) and Bradley Pitcher (DDI), and Nithin Govindan Kutty Raghunath  (15 minutes)
  • Brainstorming Sessions:
    • Table Discussions: Ideate and collaborate in small groups (20 minutes)
    • Combined Brainstorming: Share and refine ideas collectively (20 minutes)
  • Wrap-Up: Summary of key takeaways and next steps (20 minutes)

5:15 p.m. – 5:30 p.m.

Closing Session

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