TESTIFYING CONSULTANTS AND ARTIFICIAL INTELLIGENCE EXPERT WITNESSES FOR TRIAL TESTIMONY

Enter the era of artificial intelligence expert witness testifying trial providers and AI consultants. With new technologies like these powering more institutional decision-making processes across finance, justice, employment, healthcare and beyond, lawsuits questioning AI accountability, privacy and discrimination vulnerabilities rapidly emerge needing artificial intelligence expert witnesses versed in opaque automated systems. Specialized experts help unpack proprietary black box algorithms and machine learning models central to conflicts.

Attorneys first engage artificial intelligence expert witnesses to inspect relevant training data, code repositories, model monitoring practices and system auditing procedures under legal scrutiny to understand exactly how AI systems were built and are governed. Consultants often assess if suitable controls against bias introduction or analytics overreach exist. Documentation reviews allow them to gauge the overall robustness and ethics standards of AI tools relative to case issues.

The AI expert witness will frequently next document step-by step investigative approaches in reports that contextualize how software works based on machine learning fundamentals from neural networks processing to predictive modeling techniques enabling pattern detection and decision automation. Clearly communicating opaque technical concepts proves vital so judges/juries comprehend AI inner workings implicated in lawsuits.

In depositions, artificial intelligence expert witnesses are prepared to spotlight flaws in data inputs like non-representative samples skewing healthcare treatment recommendations or imbalanced image sets undercounting women leaders which bleed unfair perceptions into software. Advisors demonstrate how coded inequalities perpetuate down model pipelines. Top pros also detail leading practices around transparency, surveillance and continuous model tuning to preserve output integrity over time given AI model erosion risks.

More than anything else, artificial intelligence expert witnesses often provide definitive viewpoints on whether contested AI systems were developed and are managed responsibly per ethical codes minimizing preventable harm. If model outputs disparately impact protected groups or breach privacy from metadata mining, experts testify on the roots enabling unintended consequences along with reasonable standards for technology guardrails related to case details.

More to the crux of matters, artificial intelligence expert witnesses fluent in decoding AI/ML processes opaque to most legal professionals are invaluable for arguing appropriate accountability measures and protections in AI-implicated lawsuits. As algorithmic systems influence escalates across industries, expert oversight must as well.