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Workshop 3: How to Use Advanced Technologies for Employee Selection (and Feel Good About It!)


Charles Handler, Rocket-Hire
Shawn Bergman, Appalachian State University
Ben Taylor, HireVue


Jaron Holmes, U.S. Office of Personnel Management


Advanced employee selection technologies are outpacing research, creating uncertainty that makes many hiring managers and practitioners uncomfortable adopting them. In this interactive workshop experts take a deep dive into these technologies, using the latest research and practice to provide attendees a framework for understanding how to deploy them successfully, and with a clear conscience.

Full Description:

Rapid advances in selection system technology have created many new and complex tools and approaches (i.e., artificial intelligence (AI), machine learning, chatbots, gaming, facial recognition, social media footprint analysis, semantic analysis, deep learning, virtual reality). Despite their potential value, using technologically advanced selection tools often requires a “leap of faith,” because (a) there are few real-world examples to follow, (b) research has not kept up with product evolution, and (c) some advanced assessment technologies have originated outside of I-O psychology (e.g., AI is its own discipline that is being applied to almost every industry, including personnel selection). This workshop addresses these challenges by providing exposure to, and interaction with, some of the newest tools on the market, including:

  • A framework for classifying and understanding advanced technologies/tools
  • A summary of research for each type of tool/technology

A review of best practices for using these tools that includes a blueprint for deploying advanced tools in a manner that will yield benefits while managing risk

Intended Audience:

Intermediate level and general audience at the post-graduate level: Solid understanding of employee selection fundamentals (i.e., validation, job analysis, adverse impact, utility, etc.) is assumed and is required for understanding the topics covered in this workshop. The workshop is intended for I-O psychologists and HR professionals with experience researching, developing, and/or applying personnel selection systems, but who may be a novice when it comes to advanced technologies.

Learning Objectives:

  • List recent advances in selection systems and assessment technologies
  • Critically evaluate advanced selection technologies
  • Plan and execute AI and other advanced technology-based projects effectively
  • Compare the pros and cons of these employee selection technologies, with a focus on balancing legal compliance and validity
  • Design, build, and evaluate a best practices-based program that exploits the benefits of advanced/cutting edge technologies while mitigating the associated risks

Presenter Biographies

Dr. Charles Handler is the president and founder of Rocket-Hire LLC, a consultancy dedicated to thought leadership, innovation, and best practices for employee selection systems. Throughout his career Charles has specialized in developing effective, legally defensible employee selection systems. Dr. Handler has taken what he learned developing recruiting and selection solutions for a wide variety of organizations and combined it with his love of technology to help clients develop new models for employee selection. Dr. Handler’s philosophy focuses on combining sound science with innovation and practicality to create online hiring strategies that provide ROI and demonstrate the value of human capital. Through his prolific writing for media outlets such as ERE.net, his work as a pre-hire assessment analyst for Bersin by Deloitte, and worldwide public speaking, Dr. Handler is a highly visible futurist and evangelist for the talent assessment space. Throughout his career, Dr. Handler has been on the forefront of innovation in the talent assessment space, applying his sound foundation in psychometrics to helping drive innovation in assessments through the use of gaming, social media, big data, and other advanced technologies. Dr. Handler holds a M.S. and Ph.D. in Industrial/Organizational Psychology from Louisiana State University.

Dr. Shawn Bergman is the founding Director of the Office of Research Consultation, founder and co-Director of the HR Science Research Team, and co-founder and Associate Director for the Center for Analytic Research and Education (CARE) at Appalachian State University. Dr. Bergman’s research focuses on how technology, social media, and analytics can be used to meet organizational objectives, legal issues surrounding using social media for employment decisions, and application of analytics to HR. Dr. Bergman has served on multiple panels at the Society for Industrial and Organizational Psychology, Academy of Management, and River Cities I-O Psychology Conference discussing use of social media and analytics in organizational settings. He has published multiple peer-reviewed articles and book chapters on how social media and big data can be used for employee recruiting and selection. Additionally, as a Research Consultant with the Fors Marsh Group, Dr. Bergman was involved in multiple applied research projects investigating how organizations, such as the U.S. Military, universities, and corporations, can use social media for education, brand management, and recruiting. He has also assisted Appalachian State’s SHRM chapter in creating reports and presentations that provide guidance to HR departments regarding potential policies to manage the use of social media by their current employees, and for recruitment, selection, and communication. Dr. Bergman holds a PhD in Industrial-Organizational Psychology from University of Tennessee-Knoxville.

Ben Taylor has over 13 years of machine learning experience. He has worked on satellite image processing and nano technology. He worked for Intel/Micron for 5 years, then a hedge fund where he did quantitative trading on a 600 GPU cluster. He joined HireVue, a Sequoia startup, as their chief data scientist, and helped build out video interview prediction. He has spoken to the EEOC in Washington, DC about racist algorithms, and he is now the co-founder of Ziff.ai and an expert in deep learning. He is a data science advisor for HireVue.com and remains very active in the HR analytics space. He has a B.S. and M.S. in chemical engineering, and he is completing his Ph.D., also in chemical engineering, from the University of Utah.

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