Modern Approaches to Assessment for Employment Selection
Assessment for employment selection is high-stakes business with special ethical, societal, and regulatory concerns for fairness and validity. Historically, employment tests and selection procedures have been challenged on grounds that they adversely impact people from certain demographic groups and are not sufficiently job-related. Recent work in this space utilizes advances in assessment techniques and technologies which have the potential to substantially improve fairness and demonstrable job-relatedness. In this session, presenters will provide a broad overview of relevant work in the areas of neuroscience, cognitive, social, and emotional assessment as well as gamification and analytic approaches borrowed from data science and artificial intelligence. Best practices and areas for further development will be highlighted.