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How to review safety and policy readings for autonomous research with Awesome AI Scientist

Collect the safety, ethics and policy sources on AI systems that run research.

  • Research
  • Beginner
  • 45 minutes
  • From the README
  • Any agent

Authorization notice. Awesome AI Scientist is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.

Who it is forA research lead or policy writer who must set rules for using autonomous AI in a lab or team.

The problemAutonomous research agents raise safety and ethics questions, and the sources on them are spread out.

The outcomeYou have a reading list of about five safety, ethics or policy sources with a one-line note on each.

What you need first

  • A web browser to read the README and follow GitHub links
  • A GitHub account if you plan to clone or fork a linked repository
  • A Python environment for running any linked project (the list is tagged Python)
  • Time to read each linked project's own README, since this list does not contain install instructions

Steps

  1. Open the Safety, Ethics & Policy section of the README.
  2. Read the titles and select the five sources closest to your team's use case.
  3. Open each linked paper and note the risk or rule it discusses.
  4. Draft a short summary of the common points for your team.

Prompt for your agent

Using the README of Omni-Scientist/Awesome-AI-Scientist, pick five entries from the Safety, Ethics & Policy section that relate to <use case>. Return each title, link and a one-sentence note on the risk it covers, and check that each note matches the linked paper's abstract.

Caveat. The section lists sources to read, so the policy conclusions come from those sources, not from this list.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for Omni-Scientist/Awesome-AI-Scientist and "Review safety and policy readings for autonomous research"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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Third-party repos we don't own. AI-written use cases can be wrong. Disclaimer