Algorithmic Bias Expert Witnesses

Lake Forest, Illinois

Artificial Intelligence, Technology - AI Product Development, Machine Learning Strategy, Algorithmic Bias, Responsible AI, Model Explainability, AI Ethics and Governance, Data Science Management, Large Language Models, AI Product Design, Human–AI Interaction, Software Product Lifecycle, Digital Transformation, AI Adoption Strategy, Predictive Analytics, GenAI

Mike Hyzy is a Vice President of Strategy and Innovation and a nationally recognized expert in Artificial Intelligence, Machine Learning, and Product Development. He serves as an advisor to Fortune 500 enterprises and public-sector organizations on AI strategy, algorithmic accountability, product design, and technology adoption. His work spans the entire AI lifecycle—from research and data strategy through model validation, responsible deployment, and organizational change. Mike has led enterprise-scale AI programs across healthcare, financial services, and consumer industries, developing frameworks for Responsible AI, bias mitigation, model risk management, and explainability. He has overseen implementations of natural language processing, generative AI, and predictive analytics systems, integrating them into high-stakes, regulated environments where transparency and compliance are critical. His expertise includes governance audits, data provenance, AI ethics, and large language m...

Cambridge, Massachusetts

Artificial Intelligence, Health Informatics - Healthcare AI, Bad Faith Denials, Insurance Denials, HIPAA, Machine Learning, Prior Authorization, Agentic AI, Clinical Decision Support, FDA, RAG, LLM Hallucinations, Generative AI, Utilization Review, EEOC, AI Ethics, Algorithmic Bias, AI Governance, AI Fraud, Daubert, ChatGPT

AI expert witness with 15+ years building, deploying, and auditing 100+ production AI systems. Rare combination of practitioner, scholar, and researcher - the expert opposing counsel can't dismiss as "just an academic" or "just an engineer." Most AI experts fall into one category: academics who've never shipped production code, or engineers who can't write a defensible report. I've done both - built AI systems at Harvard Medical School, Apple, and federal agencies while publishing award-winning peer-reviewed research on AI ethics and large language models. This dual foundation creates opinions that survive Daubert challenges and cross-examination. Technical expertise spans multiple domains, including healthcare AI and insurance bad faith litigation, including prior authorization algorithms, utilization management systems, AI-driven claim denials, and clinical decision support failures. Deep experience with LLM hallucinations and defective outputs including GPT, Claude, and Llama fa...

Columbus, Ohio

Employment, Law Enf & Criminal Justice - employment law, termination, law enforcement, jury selection, police procedures, criminal justice, bias, decision making, algorithmic bias, generative ai, discrimination, implicit bias, unconscious bias, remote work, recruitment, use of force, promotion, racism, sexism, public procurement

Dr. Gleb Tsipursky is a world-renowned expert in bias and discrimination, focusing on employment law, fair housing, criminal justice, police procedures and use of force, law enforcement, and jury selection. He serves as the CEO of the boutique legal consultancy Disaster Avoidance Experts. His globally-renowned expertise has been featured in over 650 articles and more than 550 interviews in prominent venues, including Harvard Business Review, USA Today, Fortune, Fast Company, CBS News, Time, Scientific American, Psychology Today, Business Insider, Inc. Magazine, NPR, and The New York Times. He is the author of global best-sellers, "Never Go With Your Gut: How Pioneering Leaders Make the Best Decisions and Avoid Business Disasters" and "The Blindspots Between Us: How to Overcome Unconscious Cognitive Bias and Build Better Relationships." His writings have been translated into Chinese, Korean, German, Russian, Polish, and other languages. Dr. Tsipursky's expertise stems from 25 year...