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National Academies Board on Human-System Integration

Heng Xu will join leaders in science, engineering, and industry to serve on the Board on Human-Systems Integration, National Academies of Science, Engineering, and Medicine. The board was established in...

Goal Orientation for Fair Machine Learning Algorithms

A key challenge facing the use of Machine Learning (ML) in organizational selection settings (e.g., the processing of loan or job applications) is the potential bias against (racial and gender)...

CES APA Panel on What Firms Need to Know about Privacy

Heng Xu joined a panel of experts hosted by the American Psychological Association (APA) at CES 2024 to discuss about what companies need to know about how people understand privacy....

Information privacy - Challenges and opportunities for technology and measurement

We recently published a book chapter, “Information privacy: Challenges and opportunities for technology and measurement”, in Technology and Measurement around the Globe edited by Drs. Louis Tay, Sang Eun Woo,...

Working Paper - Theorizing about the Complexity of Privacy Phenomena - A Configurational Approach

We posted on SSRN a working paper by Heng Xu and Nan Zhang, addressing challenges facing the theorization of complex privacy phenomena.

An Onto-Epistemological Analysis of Information Privacy Research

Privacy is one of the most urgent issues associated with the advancement of information technology. Yet, there is a growing concern that the issues surrounding privacy have been too complex...

Reducing Adverse Impact Through Machine Learning

Machine learning has emerged as a popular tool for personnel selection, leveraging data to enhance hiring processes. An article forthcoming at Personnel Psychology studies the potential of machine learning in...

Fair Ratemaking for Catastrophe Insurance

Catastrophe insurance is an important element of disaster management. Yet the historical presence of inequalities in insurance, from redlining to pricing disparity, has had a devastating impact on minority communities....

Why Privacy Still Matters

In the December 2022 issue of MIS Quarterly, Heng Xu and Tamara Dinev co-wrote a reflection, “Why Privacy Still Matters”, for their 2011 publication that won the inaugural MIS Quaterly Impact Award in 2021.