JAMES E. TUNNESSEN JR.
D. Eng. Candidate, Artificial Intelligence & Machine Learning
Forbes Technology Council ~ Former Federal Chief AI Officer Council Member
25+ years federal service · 14 in uniform (1995–2002, 2008–2014) · 15 federal civilian (2011–2026) · 13 at the executive level · five agencies
Email: info@gradientdescent.biz •
Location: Virginia; Washington, DC area
GitHub: github.com/jtunnessen •
LinkedIn: linkedin.com/in/jimtunnessen
Advisory & Research: gradientdescent.biz (Gradient Descent Advisory Services · Gradient Descent Labs)
Software: GOVERNBOX.ai — a Gradient Descent LLC venture
PUBLICATIONS & INTELLECTUAL CONTRIBUTIONS
Doctoral research
Tunnessen, J. Specification-Driven Verification of Machine Learning Compliance Determinations. D.Eng. praxis, George Washington University School of Engineering & Applied Science (expected August 2027)
Bylined
Substack essays were published under the ExecutiveTech masthead, now Lab Notes — the Gradient Descent Labs journal.
Tunnessen, J. (FY2026). NEA Information & Technology Directive. National Endowment for the Arts (Author)
Tunnessen, J. (FY2026). NEA Information Resources Management Strategic Plan FY2026. National Endowment for the Arts (Author)
Tunnessen, J. (FY2026). NEA Artificial Intelligence Strategic Plan and Procedures FY2025. National Endowment for the Arts (Author)
Tunnessen, J. (2026). The Agentic Control Plane: Engineering Governance for the Autonomous Enterprise. Forbes Technology Council
Tunnessen, J. (2026). Why Identity Governance Is the Key Enabler for Secure AI Innovation. ExecutiveTech (Substack)
Tunnessen, J. (2026). One Developer. One Week. One Argument. ExecutiveTech (Substack)
Tunnessen, J. (2026). Escaping Pilot Purgatory: A Framework for Scaling Enterprise AI. Forbes Technology Council
Tunnessen, J. (2026). Government Technology Is Not Broken. Government Leadership Is Afraid. ExecutiveTech (Substack) — Anchor Essay
Tunnessen, J. (2026). Beyond the Pilot: The Data Architecture of Agentic Government. ExecutiveTech (Substack)
Tunnessen, J. (2025). The Case for Explainable AI: Why “Because the Algorithm Told You So” Won’t Cut It. ExecutiveTech (Substack)
Tunnessen, J. (FY2022). NEA Information Resources Management Strategic Plan FY2022. National Endowment for the Arts (Author)
Tunnessen, J. (FY2019). USAGM Artificial Intelligence Strategic Plan FY2019. Voice of America (Author)
Tunnessen, J. (FY2018). USAGM Information Resources Management Strategic Plan FY2018. Voice of America (Author)
Contributed
Work published under another masthead’s byline or as one of several named contributors.
Tunnessen, J. (2026). 20 Enterprise Risks Lurking Behind Open AI Adoption. Forbes Technology Council (Expert Panel Contributor)
Tunnessen, J. et al. (2020). ACT-IAC AI Playbook for the U.S. Federal Government. American Council for Technology–Industry Advisory Council (ACT-IAC) (Contributor)
Tunnessen, J. et al. (2019). AI/ML Primer for Government. American Council for Technology–Industry Advisory Council (ACT-IAC) (Contributor)