Get Full Government Meeting Transcripts, Videos, & Alerts Forever!
Witness urges Ohio to enshrine AI explainability and audit trails in law
Summary
At a House Technology and Innovation Committee second hearing, information security officer John Crisp testified for HB 469, urging statutes to preserve human accountability for AI by requiring explainability, audit trails and human oversight to limit corporate control over algorithmic decisions.
John Crisp, identifying himself as a Toledo-based information security officer with FalconForge AI Labs, told the House Technology and Innovation Committee on May 2 that House Bill 469 should make clear in statute that humans—not programs—bear legal and moral responsibility for AI-driven outcomes.
"Every algorithm has a human author, a human deployer and a human beneficiary," Crisp said during…
Already have an account? Log in
Subscribe to keep reading
Unlock the rest of this article — and every article on Citizen Portal.
- Unlimited articles
- AI-powered breakdowns of topics, speakers, decisions, and budgets
- Instant alerts when your location has a new meeting
- Follow topics and more locations
- 1,000 AI Insights / month, plus AI Chat
