Ephraim Ohana Research
Deeper research notes on regulatory, technical, and industry developments.
Open Weight Models and Distilled Models
Open-weight models publish their trained parameters for anyone to run and modify; distilled models are smaller models trained to reproduce a larger teacher model's behavior at a fraction of the cost.
AI GovernanceAI PolicyModel RiskAI Governance Essentials: Enabling Innovation While Managing Risk
A board and audit-committee briefing covering the AI governance framework, lifecycle checkpoints, operating model, and the questions every board should be asking about AI risk.
AI GovernanceBoard ReportingThe Certainty–Scope Trade-Off in AI: Understanding Floridi's Conjecture
A governance-focused briefing on Luciano Floridi's conjecture that AI systems face an inherent trade-off between certainty and scope, and what it means for regulation, ethics, and risk management.
AI GovernanceAI PolicyModel RiskPhilosophy of Information: Floridi's Framework and What It Means for AI Governance
An overview of Luciano Floridi's philosophy of information — the infosphere, inforgs, and information ethics — and its relevance to AI governance and data sovereignty.
AI GovernanceAI PolicyAI Governance: Board Presentation Deck
A presentation deck summarizing AI governance essentials for board audiences.
AI GovernanceBoard ReportingIAM Maturity Model for AI-Era Enterprises
A whitepaper presenting an identity and access management maturity model updated for AI-era enterprises.
CybersecurityIAM