AI Tools in Practice
What does pro-human AI actually look like? These examples show specific tools designed around the Framework's three dimensions — Autonomy, Generality, and Intelligence — keeping humans firmly in control while extending their reach.
Example: The AI Scientist
Low Autonomy | Medium Generality | High Intelligence
A system that accelerates scientific research by organizing knowledge, surfacing connections, and supporting human inquiry, built from the ground up for epistemic rigor.
Unlike current AI systems, which begin as statistical pattern-matchers and constrain a model's ability to make things up, the AI Scientist is architected for solid epistemic foundations. Every claim links to sources. Confidence levels are calibrated to evidence. The system distinguishes what is well-established from what is speculative, what is replicated from what is single-study.
What it does:
Synthesizes literature into navigable epistemic structures. Identifies patterns and connections across papers humans might miss. Surfaces relevant prior work. Helps evaluate logical consistency of proposed hypotheses. Assists in identifying confounds in experimental designs. Tracks provenance of claims back to primary sources.
What it doesn't do:
Autonomously generate hypotheses, design experiments, or draw conclusions. The scientist drives the process; the system helps find and organize relevant knowledge to inform the scientist's own reasoning.
The human scientist provides:
The questions worth asking. Judgment about which connections matter. Evaluation of whether hypotheses are worth pursuing. Experimental design decisions. Interpretation of what results mean. The creative leaps that drive science forward.
Example: The AI Legal Researcher
Low Autonomy | Medium Generality | Medium Intelligence
A research assistant trained on case law, statutes, and regulatory filings that helps lawyers find precedent, identify risk, and draft arguments — while keeping all legal judgment with the human practitioner.
What it does:
Searches and synthesizes case law across jurisdictions. Flags relevant precedents a lawyer might not have found. Summarizes regulatory filings and statutory changes. Drafts initial research memos for human review.
What it doesn't do:
Provide legal advice to clients. Make strategic decisions about how to proceed in a case. Assess the credibility of witnesses or the strength of evidence. Take any action in a legal proceeding.
The human lawyer provides:
Client relationships and ethical responsibilities. Strategic judgment about case direction. Courtroom presence and advocacy. Interpretation of facts in context. Final review of all work product before use.
Example: The AI Diagnostic Assistant
Low Autonomy | Low Generality | High Intelligence
A clinical support tool that helps physicians interpret complex diagnostic data — imaging, lab results, patient history — by surfacing patterns and differential diagnoses. The physician always makes the final call.
What it does:
Analyzes imaging and lab data to surface patterns consistent with specific conditions. Generates differential diagnosis lists ranked by likelihood given patient history. Flags anomalies that warrant further investigation.
What it doesn't do:
Diagnose patients or make treatment recommendations. Communicate directly with patients. Override or bypass physician review at any stage. Take any clinical action without explicit physician instruction.
The physician provides:
Clinical history gathering and physical examination. Contextual judgment about patient presentation. Final diagnosis and treatment planning. Patient communication and informed consent. Ethical responsibility for care outcomes.