The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems | Paper Citation Record

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems I., Babaei, H., LeJeune, D., Siahkoohi, A., & Baraniuk, R

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

Reference 3

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Concrete Problems in AI Safety

Reference 4

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems On the Opportunities and Risks of Foundation Models

Reference 6

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This paper cites Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop.

The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop

Reference 7

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems B., & Gajos, K

Reference 8

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

Reference 9

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Hadfield-Menell, D

Reference 10

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

Reference 11

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems AI Safety in Generative AI Large Language Models: A Survey

Reference 12

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

Reference 13

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Defeating Prompt Injections by Design

Reference 15

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

Reference 16

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Towards Safer Generative Language Models: A Survey on Safety Risks, Evaluations, and Improvements

Reference 17

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models

Reference 18

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems J., & Gidel, G

Reference 19

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

Reference 20

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems B., Gromov, A., Roberts, D., Yang, D., Donoho, D

Reference 21

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

Reference 22

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Alignment faking in large language models

Reference 23

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

Reference 24

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems The BIG Argument for AI Safety Cases

Reference 26

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Measuring and mitigating overreliance to build human-compatible AI

Reference 28

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems F., Gao, L., Sun, Z., Liu, Q., Dwivedi-Yu, J., Yang, Y., Callan, J., & Neubig, G

Reference 29

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems S., Vaughan, J

Reference 30

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

Reference 32

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems V., Song, T., Xu, Z., & Lee, Y.-c

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unsafer in Many Turns: Benchmarking and Defending Multi-Turn Safety Risks in Tool-Using Agents

Reference 40

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Automatic and Universal Prompt Injection Attacks against Large Language Models

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey

Reference 45

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems (1997).Managing the Risks of Organizational Accidents

Reference 49

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems An Early Categorization of Prompt Injection Attacks on Large Language Models

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Large Language Models can Strategically Deceive their Users when Put Under Pressure

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse

Reference 56

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Multi-Turn Context Jailbreak Attack on Large Language Models From First Principles

Reference 58

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems D., Sinha, I., Maheshwari, P., Todmal, S., Mallik, S., & Mishra, S

Reference 59

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems S., & Krishna, R

Reference 61

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems d., & Anand, A

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems E., & Sutcliffe, K

Reference 64

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Ethical and social risks of harm from Language Models

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

Reference 67

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Unresolved cited work

Reference 69

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Trustworthiness in Retrieval-Augmented Generation Systems: A Survey

Reference 70

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The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 71

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