Expert Witness Services


Organizations deploy AI systems that make consequential decisions. The question courts increasingly face is whether they had adequate grounds to trust those systems before doing so.

I offer expert analysis on AI governance adequacy, system reliability, and epistemic risk: the question of whether an organization had sufficient processes to understand what its AI system was doing, and what failure modes were foreseeable, before deployment.

This is distinct from engineering testimony about how a system was built. It concerns the governance and evaluation standard: what testing was done, what it could and could not detect, and whether the organization's oversight processes met the level of rigor the deployment context required.

Areas of Testimony

  • Adequacy of AI governance and pre-deployment evaluation
  • AI system reliability and foreseeable failure modes
  • Automated decision-making and epistemic risk
  • Algorithmic accountability and oversight standards
  • AI risk management frameworks (NIST AI RMF, ISO 42001)
  • Organizational AI governance program assessment

Background

I am a director-level research administrator at Harvard University with over 20 years in research operations, regulatory science, and compliance — fields defined by the question of whether a process is rigorous enough to justify confidence in its outputs.

I am the founder of VeracIQ LLC, which holds a patent-pending mechanism for detecting epistemic drift in deployed AI systems. I am a Founding Partner and Head of Epistemic Integrity at the Institutional Coherence Initiative, and an advisory board member of the Institute for Tax AI Governance.

I am a candidate for the IAPP AI Governance Professional (AIGP) certification. I have been invited to speak on AI governance at the NYC Bar Association and the Duke-NUS Medical School digital health workshop, and I've sat on a number of panels for practitioners and policy makers.

Current Publications

  • Co-author, arXiv:2510.25883 — under peer review

Commentary & Analysis

Available for consultation on matters involving AI governance adequacy, automated decision systems, and AI reliability assessment. Engagements considered in federal and state civil litigation, regulatory proceedings, and pre-litigation consulting.

Contact: jenniferkinne@proton.me

Geographic availability: nationwide. Remote testimony available.