About HBC
Bruce Hedin, Ph.D.
Dr. Bruce Hedin is a leading expert in the evaluation of AI-enabled search and analytics technologies. He applies his expertise, gained in over 20 years of work in the e-discovery industry, in providing support to legal practitioners seeking to improve the defensibility of their use of advanced technologies and to thought leaders seeking to place discussions of the responsible use of AI on a sound empirical footing.
Dr. Hedin’s work is animated by the view that the trustworthy adoption and use of AI derives from sound evidence of the effectiveness of the technology, the competence of its operators, the accountability of those responsible for its adoption and operation, and the transparency of the process in which the technology is incorporated. He has contributed that perspective to several initiatives designed to ground the responsible use of AI in evidence-based protocols and standards, including:
- Studies conducted at the US National Institute of Standards and Technology’s Text Retrieval Conference;
- The Law Chapter of Ethically Aligned Design(the flagship publication of IEEE’s Global Initiative on Ethics of Autonomous and Intelligent Systems);
- A model ESI protocol, together with tutorial commentary, to be published by the IEEE in 2023;
- An AI Toolkit designed to provide K-12 teachers and administrators with the resources needed to develop effective AI policies.
Dr. Hedin is currently President of Hedin B Consulting. He earned his Ph.D. from Stanford University and his B.A. from Cornell University.
Recent Presentations and Publications
Presentations
Measurement, Defensibility, and Compliance: Vetting, Validation, and Monitoring of AI Tools and Uses. Panel presentation at meeting of Sedona WG 13. 2025.
Artificial Intelligence and the Rules of Evidence. Panel presentation at meeting of the Advisory Committee on Evidence Rules. 2024.
Assessing the validity, reliability, and bias of Artificial Intelligence. Panel presentation at The Sedona Conference on AI and the Law, Part 1: AI and Civil Litigation. 2024.
TAR Validation: Science or Fiction? Panel at RAND E-Discovery Symposium. 2023.
Publications
AI K-12 Toolkit. aiEDU and InnovateOhio. 2024.
AI Implementation Toolkit Supplement: Model Policies. aiEDU and OESCA. 2024.
Model Protocol for Electronically Stored Information (ESI) - Text and Commentary, with Guidelines for Practitioners. The Future Society. 2023.
Strengthening the AI Operating Environment: Distributed competence as a means to risk mitigation. Proceedings of the Third International Workshop on Artificial Intelligence and Intelligent Assistance for Legal Professionals in the Digital Workplace (LegalAIIA 2023). 2023. Co-author: Samuel Curtis.
Trustworthy Evidence for Trustworthy Technology: An Overview of Evidence for Assessing the Trustworthiness of Autonomous and Intelligent Systems. Law Committee of the IEEE Global Initiative and IEEE-USA AI Policy Committee. 2022. Co-authors: Jeanna Matthews, Marc Canellas.
Operationalizing Values in AI – The Case of Fairness. Digital Tech ITP. 2021.
On the Place of Measurement in E-Discovery. Perspectives on Predictive Coding and Other Advanced Search and Review Technologies for the Legal Practitioner (ed. J. Baron, M. Berman, R. Losey). 2016. Co-authors: Dan Brassil, Amanda Jones.
Overview of the TREC 2009 Legal Track. Proceedings of the The Eighteenth Text Retrieval Conference (TREC 2009). 2010. Co-authors: Jason R. Baron, Douglas W. Oard, Stephen Tomlinson.