Practice Area
AI System Failure Expert Witness
Technical analysis and expert testimony for litigation involving AI software failures, product defects, performance misrepresentations, and AI product liability claims.
Request an AI Failure ExpertWhat Is an AI System Failure Expert?
An AI system failure expert witness is a technical specialist who provides analysis, expert reports, and testimony in legal proceedings where an AI software system has failed, underperformed, or produced harmful outputs. These cases arise in commercial disputes, product liability claims, professional negligence actions, and government contracting disputes.
The expert's role is to investigate the technical causes of the failure, evaluate whether the failure was foreseeable given the system's design and the developer's testing methodology, and assess whether the developer's representations about the system's capabilities were accurate. This requires expertise in AI system architecture, software engineering, and the technical standards applicable to AI development.
Key Litigation Scenarios
Commercial AI Software Disputes
A business deploys an AI system that fails to perform as represented in the vendor's sales materials or contract. The expert analyzes the system's design, the vendor's testing methodology, and whether the performance claims were achievable and accurate.
AI-Assisted Medical Decisions
An AI diagnostic or clinical decision support system produces incorrect recommendations that contribute to patient harm. The expert analyzes the system's design, validation methodology, and whether the failure was foreseeable.
Autonomous and Semi-Autonomous Systems
An AI system with autonomous or semi-autonomous capabilities, such as a vehicle, drone, or industrial robot, fails in a way that causes harm. The expert investigates the technical causes of the failure and evaluates the developer's safety testing.
AI Hallucination and Reliability Failures
A generative AI system produces false, misleading, or harmful outputs, including hallucinated facts, fabricated citations, or dangerous instructions. The expert analyzes the system's behavior, the developer's knowledge of the risk, and the adequacy of the safeguards deployed.
Government AI System Failures
An AI system deployed by a government agency or contractor fails to meet its stated requirements or produces harmful outcomes. The expert evaluates the system's design, the procurement process, and whether the contractor's representations were accurate.
Failure Analysis Methodology
AI system failure analysis requires a systematic investigation of the system's design, development, testing, deployment, and operation. The expert must reconstruct what happened, why it happened, and whether it was foreseeable and preventable.
- System architecture review: analysis of the system's design, components, and the technical choices made during development
- Requirements traceability: evaluation of whether the system's design addressed its stated requirements and use cases
- Testing and validation review: assessment of whether the developer's testing adequately identified and addressed potential failure modes
- Failure mode analysis: technical investigation of the specific failure, its causes, and the chain of events that led to it
- Foreseeability assessment: evaluation of whether the failure was foreseeable given the state of the art and the developer's knowledge
- Representation accuracy: analysis of whether the developer's claims about the system's capabilities were accurate and supported by evidence
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