Eisenstadt on #MeTooBots and the AI Workplace

A huge congratulations to Friend-of-Blog Leora Eisenstadt (Temple) on her wonderful new piece, #MeTooBots and the AI Workplace, which is forthcoming in the University of Pennsylvania Journal of Business Law.  This paper, which looks at the intersection of technology and the #MeToo movement, is definitely worth adding to your early semester reading list!  Professor Eisenstadt wanted me to make sure to acknowledge two of my wonderful colleagues, Marcia McCormick and Matt Bodie, for their extraordinary efforts and help with this great new Article, which is available on SSRN.  The abstract is below:

"Responding to the #MeToo Movement, companies across the United States and Europe are beginning to offer products that use AI to detect discrimination and harassment in digital communications. These companies promise to outsource a large component of the EEO compliance function to technology, preventing the financial costs of toxic behavior by using AI to monitor communications and report anything deemed inappropriate to employer representatives for investigation. Highlighting the problem of underreporting of sexual harassment and positing that many victims do not come forward out of a fear of retaliation, these “#MeTooBots” propose to remove the human element from reporting and rely on AI to detect and report unacceptable conduct before it contaminates the workplace.

This new technology raises numerous legal and ethical questions relating to both the effectiveness of the technology and the ways in which it alters the paradigm on which anti-discrimination and anti-harassment doctrine is based. First, the notion that AI is capable of identifying and parsing the nuances of human interactions is problematic as are the implications for underrepresented groups if their linguistic styles are not part of the AI’s training. More complicated, however, are the questions that arise from the technology’s attempt to eliminate the human reporter: (1) How does the use of AI to detect harassment impact employer liability and available defenses since the doctrine has long been based on worker reports? (2) How does this technology impact alleged victims’ vulnerability to retaliation when incidents may be detected without a victim’s report? (3) What is the impact on the power of victim voice and autonomy in this system? and (4) What are the overall consequences for organizational culture when this type of technology is employed?

This Article examines the use of AI in EEO compliance and considers whether the elimination of human reporting requires a reconsideration of the U.S.’s approach to discrimination and harassment. Appearing on the heels of revelations about the use of non-disclosure agreements and arbitration clauses to silence victims of sexual harassment, this Article posits that the use of AI to detect and report improper communications, an innovation that purports to help eradicate workplace harassment, may, in reality, be problematic for employers and employees alike, including functioning as a new form of victim abuse. Lastly, the Article considers the difficult work of creating open, healthy workplace cultures that encourage reporting, and the impact of outsourcing this work to Artificial Intelligence. Rather than rejecting what may be an inevitable move towards incorporating artificial intelligence solutions in the workplace, this Article suggests more productive uses of AI at work and adjustments to employment discrimination doctrine to be better prepared for an AI-dependent world."

-- Joe Seiner