# AI Alignment & Safety: Research Digest

> 10 foundational papers with 916 combined citations, plus the latest arXiv preprints.

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- **Updated:** 2026-10-18
- **Category:** scholar
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## Key data

- **Field:** AI alignment and safety
- **Foundational:** 10
- **Recent (arXiv):** 8
- **Updated:** 2026-10-18

10 foundational papers with 916 combined citations, plus the latest arXiv preprints.

_…full analysis and the complete dataset are available to agents for $0.02 — fetch `/scholar/ai-alignment-safety-research-digest.data.json` (HTTP 402)._

## Sources

1. [Ai alignment: A comprehensive survey](https://arxiv.org/abs/2310.19852)
2. [Helpful, harmless, honest? Sociotechnical limits of AI alignment and safety through Reinforcement Learning from Human Feedback: AD Lindström et al.](https://link.springer.com/article/10.1007/s10676-025-09837-2)
3. [The landscape of ai alignment: A comprehensive review of theories and methods](https://www.worldscientific.com/doi/abs/10.1142/S021800142539001X)
4. [Legal alignment for safe and ethical ai](https://arxiv.org/abs/2601.04175)
5. [The frontier of AI alignment: challenges and strategies for future ai systems](https://www.academia.edu/download/118112945/The_Frontier_of_AI_Alignment_Challenges_and_Strategies_for_Future_AI_Systems.pdf)
6. [AI Alignment Strategies from a Risk Perspective: Independent Safety Mechanisms or Shared Failures?](https://ojs.aaai.org/index.php/IASEAI/article/download/43021/50581/47126)
7. [The many faces of AI alignment](https://onlinelibrary.wiley.com/doi/abs/10.1002/9781394258840.ch18)
8. [Disentangling AI alignment: a structured taxonomy beyond safety and ethics](https://link.springer.com/chapter/10.1007/978-3-032-01377-4_8)
9. [AI Safety, Alignment, and Ethics (AI SAE)](https://arxiv.org/abs/2509.24065)
10. [On AI operational alignment and misalignment for high-risk AI systems: case study](https://www.nature.com/articles/s41598-026-67330-2)
11. [Evaluating Model Capabilities After Benchmark Saturation](https://arxiv.org/abs/2610.20667v1)
12. [Who's Behind the Text? Robust Model Authorship Attribution](https://arxiv.org/abs/2610.19583v1)
13. [Superintelligence and the Triple Risk of an AI Race](https://arxiv.org/abs/2610.17085v1)
14. [Trust Hinders Bidirectional Human-AI Alignment](https://arxiv.org/abs/2610.15136v1)
15. [Distillation for Incrimination and Distillation for Capabilities](https://arxiv.org/abs/2610.11012v1)
16. [Beyond the Ergodic Wall: A Discrete Geometric Physics Sandbox for Analysing AI Scaling Limits and Complexity Collapse](https://arxiv.org/abs/2610.10651v1)
17. [Revisiting Explainable AI through Model-Independent Concept Dictionaries](https://arxiv.org/abs/2610.10301v1)
18. [AI Safety Considerations for Agents With Limited Time to Act](https://arxiv.org/abs/2610.10285v1)

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