Serve AI Ethics Resource Library
Explore tools, templates, research, and community offerings for building more ethical AI.
Toolkits & Templates
- AI Governance Policy Template: Start your own ethics policy with a sample structure.
- Ethics Checklist: A pre-launch list to review bias, transparency, consent, and sustainability.
- Community Feedback Guide: How to engage affected communities in tech decision-making.
- Transparency Statement Template: Write clear explanations of AI systems for non-technical audiences.
- Data Consent Forms: Sample language for data collection, rights, and opt-out options.
Audit & Impact Tools
- CodeCarbon – Track the carbon footprint of your AI models.
- Have I Been Trained? – See if your content is in training datasets.
- Stable Bias Explorer – Examine AI-generated images for representation bias.
- AI Impact Tracker (Beta) – Analyze how your AI affects different user groups.
Must-Reads
- Algorithms of Oppression by Safiya Umoja Noble
- The Alignment Problem by Brian Christian
- Race After Technology by Ruha Benjamin
- AI + Ethics Curriculum for Middle School (MIT Media Lab)
- The Serve AI Ethics Casebook – Free & open from Partnership on AI
Voices to Follow
- Joy Buolamwini – Algorithmic Justice League
- Sasha Luccioni – Climate and Responsible AI Researcher
- Timnit Gebru – DAIR Institute (Distributed AI Research)
- Abeba Birhane – Cognitive scientist on relational ethics
- Rediet Abebe – AI researcher on inequality and justice
Free Courses & Learning
- Ethics for AI Engineers (Ethical AI Institute)
- Serve AI Ethics MOOC (Alan Turing Institute)
- Elements of AI – Intro to AI and its societal impact
- Future of Life Institute: AI Risk & Governance
Build Your Own
Community Resources
- Partnership on AI
- DAIR Institute
- Algorithmic Justice League
- Hugging Face – Open AI tooling & model cards
- Teal – AI Ethics Specialist Tools
Submit a Resource
If you know of a tool, guide, or voice that belongs here, we want to hear from you.