Introduction to AI Safety, Ethics, and Society
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Abstract (arXiv)
Artificial Intelligence is rapidly embedding itself within militaries, economies, and societies, reshaping their very foundations. Given the depth and breadth of its consequences, it has never been more pressing to understand how to ensure that AI systems are safe, ethical, and have a positive societal impact. This book aims to provide a comprehensive approach to understanding AI risk. Our primary goals include consolidating fragmented knowledge on AI risk, increasing the precision of core ideas, and reducing barriers to entry by making content simpler and more comprehensible. The book has been designed to be accessible to readers from diverse backgrounds. You do not need to have studied AI, philosophy, or other such topics. The content is skimmable and somewhat modular, so that you can choose which chapters to read. We introduce mathematical formulas in a few places to specify claims more precisely, but readers should be able to understand the main points without these.
Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Nov 2024.
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Citing papers per year: 2025: 10; 2026: 5.
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- 2025Virology Capabilities Test (VCT): A Multimodal Virology Q&A Benchmarkcited by 27
- 2025Misalignment or misuse? The AGI alignment tradeoffcited by 4
- 2025Zero-Shot Performance Prediction for Probabilistic Scaling Lawscited by 2
- 2026MoralityGym: A Benchmark for Evaluating Hierarchical Moral Alignment in Sequential Decision-Making Agentscited by 2
- 2025A New Perspective On AI Safety Through Control Theory Methodologiescited by 1
- 2026Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Predictioncited by 1
- 2025Factual Inconsistency in Data-to-Text Generation Scales Exponentially with LLM Size: A Statistical Validationcited by 0
- 2025Threshold Crossings as Tail Events for Catastrophic AI Riskcited by 0
- 2025Aligning Trustworthy AI with Democracy: A Dual Taxonomy of Opportunities and Riskscited by 0
- 2025DCV-ROOD Evaluation Framework: Dual Cross-Validation for Robust Out-of-Distribution Detectioncited by 0
- 2025A Ratio-Based Shapley Value for Collaborative Machine Learning - Extended Versioncited by 0
- 2025Perspectives on a Reliability Monitoring Framework for Agentic AI Systemscited by 0
3 more
- 2026When to Ask a Question: Understanding Communication Strategies in Generative AI Toolscited by 0
- 2026Active Budget Allocation for Efficient Scaling Law Estimation via Surrogate-Guided Pruningcited by 0
- 2026Studying People to Study AI: Expert Perspectives on the Epistemic Fit and Barriers of Human Research in AI Safety & Ethicscited by 0
- 2026Studying People to Study AI: Expert Perspectives on the Epistemic Fit and Barriers of Human Research in AI Safety & Ethics6 Aug 2026
- 2026Active Budget Allocation for Efficient Scaling Law Estimation via Surrogate-Guided Pruning17 May 2026
- 2026When to Ask a Question: Understanding Communication Strategies in Generative AI Tools11 May 2026
- 2026MoralityGym: A Benchmark for Evaluating Hierarchical Moral Alignment in Sequential Decision-Making Agents13 Feb 2026
- 2026Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction28 Jan 2026
- 2025Perspectives on a Reliability Monitoring Framework for Agentic AI Systems12 Nov 2025
- 2025Zero-Shot Performance Prediction for Probabilistic Scaling Laws19 Oct 2025
- 2025A Ratio-Based Shapley Value for Collaborative Machine Learning - Extended Version15 Oct 2025
- 2025DCV-ROOD Evaluation Framework: Dual Cross-Validation for Robust Out-of-Distribution Detection6 Sep 2025
- 2025A New Perspective On AI Safety Through Control Theory Methodologies30 Jun 2025
- 2025Misalignment or misuse? The AGI alignment tradeoff4 Jun 2025
- 2025Aligning Trustworthy AI with Democracy: A Dual Taxonomy of Opportunities and Risks19 May 2025
- 2025Virology Capabilities Test (VCT): A Multimodal Virology Q&A Benchmarkcited by 27
- 2025Misalignment or misuse? The AGI alignment tradeoffcited by 4
- 2025Zero-Shot Performance Prediction for Probabilistic Scaling Lawscited by 2
- 2026MoralityGym: A Benchmark for Evaluating Hierarchical Moral Alignment in Sequential Decision-Making Agentscited by 2
- 2025A New Perspective On AI Safety Through Control Theory Methodologiescited by 1
- 2026Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Predictioncited by 1
- 2025Factual Inconsistency in Data-to-Text Generation Scales Exponentially with LLM Size: A Statistical Validationcited by 0
- 2025Threshold Crossings as Tail Events for Catastrophic AI Riskcited by 0
- 2025Aligning Trustworthy AI with Democracy: A Dual Taxonomy of Opportunities and Riskscited by 0
- 2025DCV-ROOD Evaluation Framework: Dual Cross-Validation for Robust Out-of-Distribution Detectioncited by 0
- 2025A Ratio-Based Shapley Value for Collaborative Machine Learning - Extended Versioncited by 0
- 2026When to Ask a Question: Understanding Communication Strategies in Generative AI Toolscited by 0
12 most cited of 14 All 14 (JSON)
- 2026Studying People to Study AI: Expert Perspectives on the Epistemic Fit and Barriers of Human Research in AI Safety & Ethics6 Aug 2026
- 2026Active Budget Allocation for Efficient Scaling Law Estimation via Surrogate-Guided Pruning17 May 2026
- 2026When to Ask a Question: Understanding Communication Strategies in Generative AI Tools11 May 2026
- 2026MoralityGym: A Benchmark for Evaluating Hierarchical Moral Alignment in Sequential Decision-Making Agents13 Feb 2026
- 2026Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction28 Jan 2026
- 2025Zero-Shot Performance Prediction for Probabilistic Scaling Laws19 Oct 2025
- 2025A Ratio-Based Shapley Value for Collaborative Machine Learning - Extended Version15 Oct 2025
- 2025DCV-ROOD Evaluation Framework: Dual Cross-Validation for Robust Out-of-Distribution Detection6 Sep 2025
- 2025A New Perspective On AI Safety Through Control Theory Methodologies30 Jun 2025
- 2025Misalignment or misuse? The AGI alignment tradeoff4 Jun 2025
- 2025Aligning Trustworthy AI with Democracy: A Dual Taxonomy of Opportunities and Risks19 May 2025
- 2025Virology Capabilities Test (VCT): A Multimodal Virology Q&A Benchmark21 Apr 2025
12 newest of 14 All 14 (JSON)