Put human-first AI principles into real People workflows

We are looking for People, legal, governance, and technical experts who want to test practical boundaries for agents—not publish another abstract manifesto.

Demo-led rollout with human review
Prospective principles track

From principle to enforceable control

A useful collaboration should connect values with product behavior, owners, evidence, and review.

Human judgment

Define which actions require confirmation, cross-user approval, or escalation.

Permission-aware context

Test how company, role, user, document, and integration permissions constrain agent behavior.

Inspectable reasoning

Examine the sources, traces, explanations, and decision records authorized reviewers need.

What a principles collaboration could examine

The exact scope, confidentiality, outputs, and ownership would be agreed before work starts.

  • Map a consequential People workflow and its decision owners

  • Define permissions, visibility, confirmation, approval, and escalation boundaries

  • Test realistic edge cases against the proposed controls

  • Turn accepted findings into product, policy, or educational guidance

AI principles collaboration questions

What prospective collaborators should know before proposing a topic.

  • No. This page invites prospective collaborators. It does not claim an existing partner group, published standard, regulatory endorsement, or agreed program.

  • People leaders, operators, employment experts, legal and compliance professionals, researchers, product owners, and technical specialists with a concrete governance problem.

  • No. Clous can help structure controls and surface compliance gaps, but each organization remains responsible for its legal interpretation and should involve qualified counsel where required.

Bring us a hard governance question

Show us the People decision, risk, or control boundary that deserves deeper work.