Skip to content
View Goblohan's full-sized avatar

Block or report Goblohan

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Goblohan/README.md

Olusanya Gbolahan V

Co-founder, research and architecture · PerceptraAI Lab

I work on assurance for autonomous systems: whether the authorization behind an AI agent's action survives the path from the decision to the effect.

  • darm-monitor: DARM, a machine-checked Lean 4 theory of authorization and assurance transfer. Every module is checked in CI, and every theorem the paper cites is checked on each build.
  • Darm-Guard: the runtime. A broker that executes only what DARM's decision kernel admits, and records signed evidence of every effect. pip install darm-guard

Each claim in this work says what supports it (proved, constructed, tested or assumed), the checks behind it are shown to be load-bearing by breaking them, and the limitations are stated next to the results.

gbolahan@perceptra.ai

Popular repositories Loading

  1. darm-monitor darm-monitor Public

    DARM: a machine-checked Lean 4 theory of authorization and assurance transfer for autonomous systems. Every module is checked in CI; the decision kernel DARM Guard runs is compiled from it.

    Lean

  2. Darm-Guard Darm-Guard Public

    Runtime authorization for AI agents: a broker executes only what a decision kernel, compiled from a machine-checked Lean 4 model, admits, and leaves signed evidence of every effect.

    Python

  3. Goblohan Goblohan Public

    Profile