Llm Expert Witnesses

Atlanta, Georgia

Artificial Intelligence, Behavioral and Social Sciences - AI, Defamation, Online Harassment, Statistical Analysis, Sampling Bias, Polling Methodology, Survey Design, Survey Validity, Polling Methodology, Social Media, Political Advertising, Cyberbullying, Conspiracy Theories, Political Communication, Election Disputes, First Amendment, Vaccine Hesitancy, LLM, Measurement Error, Data Analysis

Sean Richey, Ph.D., is a Full Professor of Political Science at Georgia State University specializing in artificial intelligence information environments, survey methodology, public opinion analysis, and digital communication effects. He has authored seven books and more than thirty peer-reviewed articles examining how individuals form beliefs, how information environments influence attitudes, and how research design affects measurement validity. AI and Digital Communication: His recent research includes experimental studies comparing ChatGPT to traditional search engines for political learning, analysis of how large language models affect conspiracy beliefs, and assessment of AI-generated content credibility. He evaluates how exposure to AI systems, algorithmic curation, and social media platforms influences perception and behavior in applied contexts. Survey Research and Polling: Dr. Richey has extensive experience in survey design, sampling methodology, questionnaire constructi...

New York, New York

Artificial Intelligence, Software Engineering - data analysis, data science, source code analysis, patent infringement, natural language processing, class action certification, GIS and geospatial data, artificial intelligence, systems controls, data privacy, model analysis, LLM, Python, Java, neural networks, trade secrets, deepfake detection, computer vision, machine learning, SQL

Joe Sremack is a forensic technology expert with more than two decades of experience in complex data, software, and artificial intelligence analysis for high-stakes legal matters. As Practice Leader of CBIZ's Forensic Data Analytics and Technology division, he has served as consultant and testifying expert in over 500 engagements across state and federal courts, international arbitrations, and regulatory proceedings in numerous countries. Mr. Sremack is the author of AI Forensics: Investigation and Analysis of Artificial Intelligence Systems (Chapman & Hall, March 2026) and Big Data Forensics (Packt Publishing, 2015). He is a frequent speaker on AI forensics, source code analysis, and data analytics at legal and industry conferences. His technical expertise spans artificial intelligence system examination (including large language models, generative AI, and machine learning pipelines), deepfake and synthetic media authentication, proprietary source code analysis, advanced data ana...