# Blackwell Institute for Applied AI

> The Blackwell Institute for Applied AI advances AI education, research, and innovation for the benefit of society. The institute publishes free, evidence-based courses and tutorials on how AI changes decisions in institutions, alongside research projects and reports.

Full text of every course unit, in one file: https://blackwellai.org/llms-full.txt

## Course: AI for Decision Makers

A rigorous course for leaders who decide whether and how their institutions use AI: separating prediction from judgment, reading the evidence, comparing AI with the real status quo, and designing decision systems that work and are accountable, across criminal justice, education, healthcare, politics, and the economy.

- [Unit 1: What AI Is: Capability, Reliability, and the Jagged Frontier](https://blackwellai.org/courses/ai-for-decision-makers/what-ai-actually-is): A working model of today's AI for the people who decide what to trust it with
- [Unit 2: Prediction, Judgment, and Who Decides](https://blackwellai.org/courses/ai-for-decision-makers/the-decision-framework): What cheaper prediction changes about a decision, and where judgment goes when it moves
- [Unit 3: The Decision-Maker's Quantitative Toolkit](https://blackwellai.org/courses/ai-for-decision-makers/decision-toolkit): Base rates, thresholds, causal effects, and validation: the arithmetic behind sound AI decisions
- [Unit 4: The Economics of AI Decisions](https://blackwellai.org/courses/ai-for-decision-makers/economics-of-ai-decisions): Four core principles used precisely, plus incentives, complements, and system change
- [Unit 5: Criminal Justice](https://blackwellai.org/courses/ai-for-decision-makers/criminal-justice): Risk assessment, bail, sentencing, and what the evidence actually shows
- [Unit 6: Education](https://blackwellai.org/courses/ai-for-decision-makers/education): Assessment, early warning, and generative AI in learning
- [Unit 7: Healthcare](https://blackwellai.org/courses/ai-for-decision-makers/healthcare): Diagnosis, validation, resource allocation, and regulation
- [Unit 8: Political Systems](https://blackwellai.org/courses/ai-for-decision-makers/political-systems): Feeds, moderation, persuasion, and algorithmic public administration
- [Unit 9: Economic Systems](https://blackwellai.org/courses/ai-for-decision-makers/economic-systems): Work, productivity, market power, and policy
- [Unit 10: Fairness, Bias, and the Impossibility Results](https://blackwellai.org/courses/ai-for-decision-makers/fairness-and-bias): Competing definitions, biased measurements, and fairness relative to the status quo
- [Unit 11: Governance, Accountability, and Safety](https://blackwellai.org/courses/ai-for-decision-makers/governance-accountability-safety): Making the decision system answerable, not just the model
- [Unit 12: Generative AI and Agents in Institutions](https://blackwellai.org/courses/ai-for-decision-makers/generative-ai-and-agents): Cheap generation, costly verification, and delegating action to software
- [Unit 13: Synthesis: A Decision Protocol for AI](https://blackwellai.org/courses/ai-for-decision-makers/synthesis-and-toolkit): From good questions to a disciplined, staged decision

## Pages

- [Blackwell Institute for Applied AI](https://blackwellai.org/): The Blackwell Institute for Applied AI advances AI education, research, and innovation for the benefit of society.
- [Academy](https://blackwellai.org/learn): Free courses and tutorials on AI, machine learning, and data science.
- [Tutorial: Learning Inductive Bias with Hierarchical Bayesian Models](https://blackwellai.org/tutorials/hierarchical-bayesian-models): Hands-on tutorial covering priors, hyperpriors, partial pooling, and when to choose hierarchical approaches over classical methods.
- [Projects](https://blackwellai.org/projects): Active projects: Future Scenarios (https://futurescenarios.ai), exploring trajectories of AI development and their implications for society, and BenchMaker (https://benchmaker.ai), an educational platform for designing rigorous evaluations of AI models and agents.
- [Reports](https://blackwellai.org/reports): Research reports, white papers, and publications.
- [Reading List](https://blackwellai.org/reading-list): Curated books on AI, machine learning, and technology.
- [Blog](https://blackwellai.org/blog): Insights, analysis, and commentary on AI research, education, and innovation.
- [About](https://blackwellai.org/about): The institute's mission and commitment to advancing AI education and research.
- [Team](https://blackwellai.org/about/team): The leadership team.
- [Support Us](https://blackwellai.org/about/support-us): Donations, partnerships, and volunteering.
- [Contact](https://blackwellai.org/contact): Partnerships, research collaborations, and general inquiries.

## Blog posts

- [Understanding AI Safety: From Problems to Practice](https://blackwellai.org/blog/2c38fc55-6abd-802c-9cd0-f1543ff6b142): An Introductory guide to AI Safety Landscape

## Optional

- [Newsletter on Substack](https://blackwellai.substack.com/)
- [YouTube](https://www.youtube.com/@TheBlackwellAI)
- [GitHub](https://github.com/orgs/BlackwellAI)
- [LinkedIn](https://www.linkedin.com/company/blackwellai/)
- [X](https://x.com/TheBlackwellAI)