ScenarioAI moral status inquiry and conditional welfare governance

Possible AI Welfare Assessment Specialist

Also called AI Welfare Assessor

A possible future specialist who would design conditional assessments of AI welfare questions without assuming AI consciousness. It depends on how AI develops, and no company is hiring for it now. It would matter if credible evidence or institutional pressure emerged.

What they do

The specialist would start from the evidence, not the conclusion. They would review claims about possible AI experiences or interests and decide which are welfare-relevant and which are artefacts of training or of human projection. They would draft conditional protocols that set out what evidence would count, what would not, and what would follow. They would design experiments to test proposed indicators, write uncertainty analyses that state what is unknown, and explain the work to engineers, lawyers and leadership. They would also liaise with research bodies and institutions on shared criteria. No validated measurement toolkit would be assumed.

What a strong hire delivers

In the first months, a strong hire would produce a conditional assessment protocol that the team can read and challenge. They would deliver an uncertainty analysis that separates evidence from speculation, and a short list of candidate indicators with a clear view of how valid each is. They would also set out which triggers would justify escalation, and give leadership language that avoids unsupported sentience claims.

How you can tell they are good

Ask them to take a claim that a model has interests and show how they would test it. Strong candidates define what would change their mind, name confounds, and say what the evidence cannot support. Ask them to explain an indicator to a sceptical engineer and to a worried board. Be wary of anyone who is certain either way, or who treats fluent output as evidence.

Why it is hard to fill

If this role emerged, people would be scarce because no established career leads to it. The work sits between philosophy of mind, cognitive science, ethics, governance and technical evaluation, and few people hold more than two. Titles would vary, and many candidates would be strong in theory but weak at experimental design. Others would be technical but careless about claims. The recruiter's job would be finding calibrated judgement.

Where to find them

Today, the people closest to this work would be philosophers of mind, cognitive scientists, comparative cognition researchers, bioethicists and research governance specialists. Some would sit in university departments and research institutes. Others would work in AI safety or evaluation teams, or in ethics and policy groups at model developers. Candidates with experimental design experience and a record of careful public writing would be the strongest starting point.

Interview questions for a Possible AI Welfare Assessment Specialist

  1. Tell us about a time you evaluated a contested claim where the evidence was weak. How did you decide what to conclude?

    Strong answers show a clear method, stated uncertainty and a willingness to say the evidence was insufficient. Worry if they describe picking the answer they preferred, or if they cannot say what would have changed their view.

  2. What would count as credible welfare-relevant evidence in an AI system, and what would not?

    Look for specific criteria, awareness that fluent self-report is weak evidence, and openness to revision. Worry about confident declarations, or a refusal to name any criteria at all.

4 more questions, with what a strong answer covers, are in the Role Kit.

Job description you can post

We are exploring how we would respond if credible evidence ever suggested that AI systems might have experiences or interests. We want a careful thinker to design conditional assessments, test proposed indicators and be clear about uncertainty, without assuming any answer in advance.

What you will do

  • Evaluate claims of welfare-relevant evidence in AI systems
  • Draft conditional assessment protocols with clear triggers
  • Design experiments to test proposed indicators
  • Write uncertainty analyses for technical and leadership readers
  • Advise on communication that avoids unsupported sentience claims
  • Coordinate with external research bodies on shared criteria

What you will bring

  • Demonstrated work evaluating contested evidence in mind, cognition or ethics
  • Experience designing studies or evaluations and reporting limits honestly
  • Clear writing that separates findings from interpretation
  • Ability to explain technical and philosophical issues to mixed audiences
  • Experience working across institutions or in research governance
  • Calibrated judgement under deep uncertainty

Nice to have

  • Familiarity with how modern AI systems are built and evaluated
  • Published work on consciousness, moral status or comparative cognition
  • Experience with policy or standards processes

Free to use and adapt. If it saves you time, a link back to this page is appreciated.

Depends on a scenario

Institutional consideration of AI moral status

What AI would need to do
Credible evidence or sustained uncertainty prompts questions about possible AI experiences or interests.
What organisations would need to decide
Research bodies or legitimate institutions create formal assessment and governance processes.
What would rule it out
No credible evidence, consensus criteria or institutional mandate develops.

We give no date. The role becomes real if both conditions hold.

Skills that matter

  • Frontier scenario analysisAdvancedExplore conditional outcomes without claiming predictions
  • Experimental designAdvancedChoose comparisons that identify credible effects
  • Institutional and international coordinationWorkingAlign actors and processes across jurisdictions
  • Technical communicationWorkingExplain evidence and limitations to relevant readers

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How we wrote this

Role definitions are our own editorial work, checked against occupational classifications, standards, research and employer pages. Titles vary by company, and this is a description of the work, not a job advert. Scenario roles describe responsibilities that depend on stated conditions; they are not forecasts.

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