AI Forensics

Expert witness services for artificial intelligence litigation

As artificial intelligence systems become embedded in critical business operations and consumer products, disputes involving AI are accelerating. Joe Sremack provides expert witness and forensic consulting services for litigation involving AI system failures, algorithmic bias, intellectual property disputes, and regulatory compliance matters.

Joe Sremack is an AI expert witness who analyzes artificial intelligence systems in litigation, investigations, and regulatory matters. His expertise spans large language models, generative AI, computer vision, predictive algorithms, and custom machine learning implementations. He is the author of AI Forensics: Investigation and Analysis of Artificial Intelligence Systems (Chapman and Hall/CRC, 2026).

AI Technologies Analyzed

Large Language Models

ChatGPT, GPT-4/5, Claude, Llama, Gemini, and other generative text systems

Generative AI

Image, video, and audio generation including DALL-E, Midjourney, Stable Diffusion, and Sora

Computer Vision

Image recognition, facial recognition, object detection, and visual classification systems

Natural Language Processing

Text classification, sentiment analysis, entity extraction, and language understanding

Predictive & Recommendation Systems

Risk scoring, fraud detection, content recommendation, and decision support algorithms

RAG & AI Agents

Retrieval-augmented generation, autonomous agents, and multi-agent architectures

Autonomous Systems

Self-driving vehicles, robotics, and automated control systems

Speech & Audio AI

Speech recognition, voice synthesis, speaker identification, and audio processing

Custom ML Models

Neural networks, deep learning architectures, and proprietary implementations

AI Forensic Analysis

Joe's AI forensic methodology addresses the technical questions that arise in AI-related litigation:

AI Development Analysis

Examination of the AI development lifecycle from data acquisition through model training, validation, deployment, and monitoring

Training Data Analysis

Investigation of data provenance, dataset composition, labeling practices, and data quality issues

Black-Box Analysis

Systematic testing and evaluation of AI system behavior without access to underlying source code

Algorithmic Bias Detection

Identification and measurement of disparate impact, unfair treatment, and discriminatory patterns

AI Output Analysis

Quantitative analysis of AI outputs, error rates, hallucination patterns, and performance validation

AI Evidence Authentication

Verification and authentication of AI-generated content, outputs, and system logs

Model Behavior Analysis

Investigation of how AI models make decisions, including explainability and interpretability assessments

AI Case Types

Algorithmic bias and discrimination claims
AI system failures and performance disputes
AI-generated content and copyright disputes
Training data ownership and provenance disputes
AI model theft and trade secret misappropriation
AI patent infringement
AI hallucination and reliability issues
AI regulatory compliance matters
Autonomous system accidents and liability
AI-related privacy violations

Discuss Your AI Matter

Contact Joe to discuss how AI forensic analysis can support your case.

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