AI safety landscape for large language models: taxonomy, state-of-the-art, and future directions
AI safety is an emerging field of critical importance for the secure adoption and deployment of AI systems. With the recent advancements in large language models (LLMs), the technological landscape surrounding the design, development, and deployment of AI systems has undergone significant change. The failure of AI systems at one organization, or AI risks undertaken by one organization, can propagate down the AI technology supply chain, affect the entire AI ecosystem, and potentially lead to coll
Record details
Published: 16 June 2026
Source: OpenAlex
Category: Research
Topics: Safety & alignment
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (16 June 2026), “AI safety landscape for large language models: taxonomy, state-of-the-art, and future directions,” evidence record 10061, https://ethics.ai/record/10061 (originally published by OpenAlex).
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