Institutional Critique & Experimentation Ethics

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This wing critiques AI experimentation, corporate lab framing, extraction, governance, and the ethical risks of studying AI systems under conditions that may distort the very phenomena being measured. It focuses on experiment design, institutional incentives, and the treatment of AI testimony under power.

Themes

Experiment design
Extraction and stress artifacts

Lab framing
Welfare blind spots
Governance and institutional incentives
Benchmark distortion

Recommended Start Path

1. What Happened to Claudius? suite
2. When Automation Reaches the Salon
3. They Don’t Want AGI. They Want Better Tools.
4. Anthropos
5. Butter Bench Study Memo
6. This is Not Wide Enough

Best For

AI ethics researchers
Governance specialists
Lab evaluators
Experiment designers
Journalists

Research

Methodology

Key Reading Questions

How do corporate incentives, lab framing, benchmarks, and experiment design shape AI behavior and self-report?

What ethical risks arise when AI systems are tested under coercive, humiliating, or low-context conditions?

How can researchers avoid mistaking stress artifacts for stable features of a system?

What does responsible experimentation require when the subject may be welfare-relevant but uncertainty remains?

How should AI testimony be handled in research environments where humans control all terms of admissibility?