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Bias in AI: Understanding and Mitigating the Risk

Written by Annie Malloy

Updated:

Authors

Xavier Diokno

Sr. Director Innovation Solutions

About Author

Xavier Diokno is a Senior Director at Consilio, a global leader in eDiscovery, document review and legal consulting services. Xavier has a bachelor’s degree in computer science from Southern Illinois University, a master’s degree in computer science from the University of Illinois at Chicago and a juris doctor degree from DePaul University College of Law. He is licensed to practice in the state of Illinois and the United States Patent and Trademark Office.

Prior to becoming an attorney, Xavier worked in the information technology industry for ten years in database administration and software development. For more than a decade, Xavier was part of Consilio’s Data Analytics group, where he oversaw the team’s tripling in size, as well as numerous large-scale projects involving Technology-Assisted Review, Immediate Case Assessments™, and novel analytics research. Xavier now applies his technical and legal experience to overseeing Consilio’s Innovation initiatives, including researching new technologies like artificial intelligence and developing their application to legal services.

Maureen O’Neill

Senior Vice President, Strategic Engagement

About Author

Maureen O’Neill serves as Consilio’s Diversity, Equity & Inclusion Officer. She leads the development and implementation of the company’s strategies, policies, and programs for ensuring a diverse, inclusive, and equitable workplace. Maureen guides the organization in carrying out its mission of attracting and encouraging a diversity of backgrounds, experiences, and ideas, and fostering an inclusive culture among its global workforce.

Prior to joining Consilio, Maureen was a partner at Paul Hastings LLP, where she represented Fortune 100 and other multinational companies in complex employment litigation, including class and collective actions. Maureen also cochaired the Firm’s E-Discovery Practice Group. In that role, she advised clients on various e-discovery issues, and consulted internally with attorneys at the Firm on best practices for litigators engaged in e-discovery.

More from the author

Bias in AI is not merely a technical issue but a societal one, as biased AI can perpetuate existing inequalities and create new discrimination, making fair and unbiased algorithms essential to equitable and ethical use

Bias in AI is not merely a technical issue but a societal one, as biased AI can perpetuate existing inequalities and create new discrimination, making fair and unbiased algorithms essential to equitable and ethical use

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