Daniel Ho, the William Benjamin Scott and Luna M. Scott Professor of Law and director of Stanford’s RegLab, has achieved significant recognition in the field of artificial intelligence and data privacy over the past year.
In April 2024, Ho was one of 250 individuals inducted into the American Academy of Arts & Sciences (AAAS). According to AAAS President David Oxtoby, the honorees are invited to contribute to the academy’s efforts to address significant societal challenges and promote the common good.
Ho’s scholarship on AI has also garnered accolades. In June 2023, his paper, “The Privacy-Bias Tradeoff: Data Minimization and Racial Disparity Assessments in U.S. Government,” won a Best Paper award at the Conference on Fairness, Accountability, and Transparency. This paper, which Ho co-authored with colleagues including Victor Wu, Arushi Gupta, Helen Webley Brown, and Jennifer King, was subsequently recognized by the Future of Privacy Forum in January 2024 as part of its annual Privacy Papers for Policymakers Awards.
In August 2023, Ho’s research was again honored at the Sixth AAAI/ACM Conference on AI Ethics and Society. The paper titled “The Bureaucratic Challenge to AI Governance: An Empirical Assessment of Implementation at U.S. Federal Agencies” earned another Best Paper award. Co-authored with Christie Lawrence and Isaac Cui, this work catalyzed a series of investigative articles by FedScoop, focusing on government technology news.
Later in August, Ho was appointed to an American Bar Association task force dedicated to examining the implications of artificial intelligence on the legal profession.
For more details, visit the Stanford Lawyer article detailing Daniel Ho’s achievements.