ACTOR TRUST RECEIPT
Illustrative- Actor
- Human
- Personhood
- Verified
- Identity
- Verified privately
- Presence
- Continuous
- Human control
- High confidence
- AI involvement
- Low
- Session continuity
- High confidence
In short
For hiring, Proof of Actor is designed to establish that the expected candidate personally performed an assessment or interview, remained present and in control for the whole session, and to report how materially AI participated, so employers can apply a clear, disclosed policy.
The question
Did this candidate genuinely perform this assessment, or was the work materially performed by AI or another actor?
Context
Why hiring is the first proving ground
Hiring has an unusually clear question and an unusually clear policy. An employer can state up front whether AI assistance is permitted in an assessment, and the candidate can know that rule before starting. That makes hiring the right place to study genuine human interaction, AI-assisted interaction, session continuity and substitution with consent and context.
Remote assessments and video interviews now face AI tools that answer in real time, proxies who sit the test for someone else, and synthetic video. Employers who respond with blanket suspicion harm honest candidates; employers who ignore it lose the signal their assessments exist to produce.
Proof of Actor is designed to replace suspicion with evidence: a transparent attestation of presence, continuity, control and AI participation that both sides can understand. The horizontal platform remains independent; hiring is a consumer of it, not its definition.
What employers struggle to trust today
- A different person completing the assessment than the one who applied
- Real-time AI answering during a test or live interview
- Hand-offs and remote assistance part-way through a session
- Synthetic or manipulated video presenting a different face
- Undisclosed AI use where the policy requires unaided work
What Proof of Actor is designed to establish
Trust layers this context needs
Each context asks for a different slice of the trust stack. These are the layers that matter here.
Identity
The candidate is the person who applied, verified privately.
Presence
That candidate is present throughout, not only at the start.
Actor continuity
No substitution or hand-off during the session.
Human control
The candidate is controlling the answers being given.
AI participation
Graded AI involvement, compared with the stated policy.
Policy
Typical policy
Proof of Actor supplies the evidence. Your organisation sets and discloses the policy.
// Proposed API - illustrative only
policy.require({
actor: "human",
identity: "verified_private",
presence: "continuous",
control: 0.90,
aiAssistance: "low"
});FAQ
Frequently asked questions
How can employers tell if a candidate used AI during an assessment?
Reliable judgement needs evidence about the whole session, not a guess about one answer. Proof of Actor is designed to report presence, continuity, human control and a graded level of AI participation, so an employer can compare what happened with the policy the candidate was given.
What is candidate fraud?
Candidate fraud covers misrepresentation in hiring, including impersonation, proxy test-takers, fabricated identities and synthetic video in interviews. Proof of Actor focuses on the actor question: whether the expected candidate was present and in control of the assessment or interview.
Is all AI use treated as misconduct?
No. Trust is contextual. Some employers allow AI assistance and some roles expect it. Proof of Actor supplies evidence; the employer sets and discloses the policy, and HUMAN + AI is a legitimate outcome where it is permitted.
Will this be another proctoring product?
No. Proof of Actor is horizontal trust infrastructure. Hiring products can consume it, but the platform is designed to be privacy-aware and to return claims with evidence rather than surveillance footage.
More use cases
Other contexts
Financial services
Require verified human control or explicit intent before consequential transactions.
Agentic commerce
Verify who stands behind an AI agent and whether a purchase is inside its mandate.
Marketplaces
Distinguish genuine users, AI-assisted users and autonomous agents.
Dating
Evidence that the person behind a profile and conversation is human.
What interaction do you struggle to trust?
Design partners help define the evidence that would change their decisions. Tell us about yours.