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Article

The Pull of Unbiased AI Mediators

Journal International Journal of Online Dispute Resolution, Issue 1 2019
Keywords automation, artificial intelligence, algorithm development, mediation, pull style communication
Authors Chris Draper
AbstractAuthor's information

    There is significant concern in the access to justice community that expanding current count-based online dispute resolution (ODR) efforts will further exacerbate the systemic inequities present in the American justice system. This well-founded fear stems from the fact that current ODR tools typically calibrate artificial intelligence (AI) algorithms with past outcomes so that any future cases are consistently analysed and filtered in a manner that produces similar results. As courts consider ODR tools for more complicated cases that often require mediation, there is significant disagreement on whether it is possible to create an AI mediator and how that could be achieved. This article argues that an effective AI mediator could be created if its design focuses not on the outcomes achieved by the mediation but on the manner of the communication prompts used by the AI mediator.


Chris Draper
Chris Draper, PhD, PE, is the Managing Director of Trokt, responsible for guiding the development, adoption and growth of the Trokt Online Dispute Resolution platform. Dr. Draper is a trained engineer with a focus on human-technology interface risks, a certified mediator with a focus on special needs education conflicts, and an expert on the evaluation of highly complex systems that assist in the human management of legally sensitive data. Dr. Draper received his Bachelor of Science from the University of California at Berkeley and his Doctor of Philosophy from the University of Glasgow.
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