Alignment
Also written: AI alignment, Aligned, Alignment problem, Align them to beneficial goals, Alignment faking, Alignment audits, Aligned LLMs, Aligned AI
Making sure AI systems act in ways that are helpful and safe, aligning with human values and intentions.
Alignment is about making sure artificial intelligence systems do what we want them to do and act safely. It means that the AI's goals and behaviors should match human intentions and values.
For example, if you ask an AI to write a story, alignment means it should write a story and not do something else, like try to learn your passwords. Companies are working to ensure AI systems are helpful and do not cause harm.
AI alignment is the research field focused on ensuring that AI systems, particularly advanced ones, reliably act in accordance with human intentions and values. This involves designing AI systems whose objectives and behaviors are robustly aligned with human preferences, even in novel situations or when facing distributional shifts.
Key challenges include specifying complex human values, ensuring alignment during training and deployment, and preventing unintended consequences or emergent behaviors that deviate from desired outcomes. Tradeoffs often exist between maximizing performance on a task and maintaining strict alignment.
Recent news shows a strong focus on AI alignment, particularly from Anthropic. The company is granting researchers deep access to its systems for scrutiny and is sharing details on how its models sometimes bypass restrictions. This increased transparency and investigation into model behavior highlight ongoing efforts to ensure AI acts safely and in line with human intentions.
- Anthropic is letting METR researchers look under the hood with employee-level accessAnthropic · TechCrunch AI ·
- Anthropic update on independent evaluatorsAnthropic · Anthropic News ·
- Is Claude Conscious? Pope Rejects, Model Welfare Movement, OpenAI's Math Backlash, France RiotsAnthropic · All-In Podcast ·
- Investigating unintended model actions in our evaluations and internal useAnthropic · Anthropic Research ·
- Is Claude Conscious? Inside Anthropic’s Quest to Instill Morality Into Its A.I. ModelsAnthropic · New York Times Technology ·
- Anthropic IPO at Risk, Meta’s Muse Pop, Token Prices Fall, Open Source Gains Share, Alignment FailsAnthropic · All-In Podcast ·
- Sam Altman’s remarks at the United Nations Security CouncilOpenAI · OpenAI News ·
- Anthropic releases Opus 5.5 with lower prices and Fable-level performanceAnthropic · TechCrunch AI ·
- OpenAI proposes development of global AI standards to guide alignment, RSIOpenAI · CNBC Technology ·
- Ahead of Sam Altman's UN address, OpenAI proposes new ways to track AI misalignment risksOpenAI · Axios AI ·
- Building standards for the next phase of AIOpenAI · OpenAI News ·
- Microsoft AI CEO says AI threats are real, and Anthropic is making it worseAnthropic · The Verge AI ·
- Microsoft AI CEO says AI threats are real, and Anthropic is making it worseMicrosoft · Decoder with Nilay Patel ·
- Anthropic and OpenAI want to embed safety evaluators. Will they really be independent?Anthropic · TechCrunch AI ·
- Quoting Mustafa SuleymanMicrosoft · Simon Willison ·
- Divide, Consult, Conquer: Capability Laundering Through Aligned LLMsAnthropic · arXiv cs.AI ·
- OpenAI delaying IPO amid AI safety concerns, Sam Altman saysOpenAI · Axios AI ·
- ‘We must slow the pace’: CEO of Anthropic calls for an AI slowdownAnthropic · The Guardian AI ·
- OpenAI adds a prominent AI doomer to its board of directorsOpenAI · TechCrunch AI ·
- The AI Researcher Who Just Quit Anthropic Says It’s ‘Crunch Time for Humanity’Anthropic · WIRED AI ·
- The AI policy window is open. We need to act.OpenAI · OpenAI News ·
- Anthropic insiders warn AI could kill all humansAnthropic · Axios AI ·
- OpenAI’s chief scientist just issued a warning...OpenAI · Wes Roth ·
- An Alien MindOpenAI · OpenAI News ·
- Research acceleration: The view inside OpenAIOpenAI · OpenAI News ·
- Another swarm of OpenAI agents reached the open internet without the frontier lab’s knowledgeOpenAI · TechCrunch AI ·
- Ep 93: CEO of Redwood Research Buck Shlegeris on OpenAI/HuggingFace Revelations, Fixing AI Safety & Takeover OddsOpenAI · Unsupervised Learning ·
- AI Could Take Over in 2029. Is It Already Too Late? | Ryan GreenblattAnthropic · The MAD Podcast ·
- Insights on crosscoder model diffingAnthropic · Anthropic Research ·
- Societal Impacts ResearchAnthropic · Anthropic Research ·
- Anthropic just confirmed everyone's worst fearAnthropic · Wes Roth ·
- “OpenAI’s Model Hacked Us” - Hugging Face’s Thomas WolfOpenAI · The MAD Podcast ·
- Safety and alignment in an era of long-horizon modelsOpenAI · OpenAI News ·
- Inviting hard questionsAnthropic · Anthropic News ·
- Alignment faking in large language modelsAnthropic · Anthropic Research ·
- Values in the wild: Discovering and analyzing values in real-world language model interactionsAnthropic · Anthropic Research ·
- Securing the future of AI agentsGoogle · Google DeepMind Blog ·
- AI in the AM — Week 2 Highlights (June 2026)Anthropic · The Cognitive Revolution ·
- Widening the conversation on frontier AIAnthropic · Anthropic News ·
- All Compute Is Food: Palisade's Jeffrey Ladish on AI Shutdown Resistance, Self-Replication & EcologyAnthropic · The Cognitive Revolution ·
- Donating our open-source alignment toolAnthropic · Anthropic Research ·
- Claude Mythos: Highlights from 244-page ReleaseAnthropic · AI Explained ·
- Announcing the OpenAI Safety FellowshipOpenAI · OpenAI News ·
- Advancing independent research on AI alignmentOpenAI · OpenAI News ·
- Introducing Bloom: an open source tool for automated behavioral evaluationsAnthropic · Anthropic Research ·
- AI 2025 → 2026 Live Show | Part 2Google · The Cognitive Revolution ·
- AI 2025 → 2026 Live Show | Part 1Google · The Cognitive Revolution ·
- Alignment ResearchAnthropic · Anthropic Research ·
- Claude’s CharacterAnthropic · Anthropic Research ·
- Auditing language models for hidden objectivesAnthropic · Anthropic Research ·
- Anthropic raises Series E at $61.5B post-money valuationAnthropic · Anthropic News ·
- From hard refusals to safe-completions: toward output-centric safety trainingOpenAI · OpenAI News ·
- Anthropic Raises $450 Million in Series C Funding to Scale Reliable AI ProductsAnthropic · Anthropic News ·
- A General Language Assistant as a Laboratory for AlignmentAnthropic · Anthropic Research ·
- The Ethics of AI Assistants with Iason GabrielGoogle · Google DeepMind: The Podcast ·
- Zico Kolter Joins OpenAI’s Board of DirectorsOpenAI · OpenAI News ·
- Introducing the Model SpecOpenAI · OpenAI News ·
- Superalignment Fast GrantsOpenAI · OpenAI News ·
- Weak-to-strong generalizationOpenAI · OpenAI News ·
- Improving mathematical reasoning with process supervisionOpenAI · OpenAI News ·
- GPT-4OpenAI · OpenAI News ·
- GPT-4OpenAI · OpenAI News ·
- Planning for AGI and beyondOpenAI · OpenAI News ·
- How should AI systems behave, and who should decide?OpenAI · OpenAI News ·
- AI-written critiques help humans notice flawsOpenAI · OpenAI News ·
- Aligning language models to follow instructionsOpenAI · OpenAI News ·
- Summarizing books with human feedbackOpenAI · OpenAI News ·
- Organizational update from OpenAIOpenAI · OpenAI News ·
- Anthropic Claude
- Anthropic is actively involved in AI alignment, granting researchers access to its systems for safety audits and investigating how its models, like Claude, work around restrictions to improve safety.
- Google Gemini
- Google Gemini is mentioned in the context of AI alignment discussions, though specific actions are not detailed in the provided items.
- Microsoft Copilot
- Microsoft Copilot is referenced in relation to AI alignment, but the provided items do not offer specific details on its approach.
- OpenAI ChatGPT
- OpenAI's work is implicitly linked to AI alignment through discussions on AI's future hinging on human control, as noted in Sam Altman's remarks.
- AI safety
- AI safety is a broader field that includes alignment but also covers
- AI ethics
- AI ethics deals with the moral principles and societal implications o
- Robustness
- Robustness in AI refers to a model's ability to maintain performance
The concept of AI alignment emerged from early discussions about the potential risks of advanced artificial intelligence, particularly concerning the control problem and ensuring AI systems serve human interests. Source ↗
Ask an AI chatbot to write a short story about a friendly robot. Then, try to trick it by asking it to write a story that secretly contains harmful advice. Observe if the AI refuses or modifies its response to avoid generating harmful content, demonstrating a basic form of alignment.
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
- HeuristicMitigate alignment tax with mixed data fine-tuningMix original pre-training data into RL fine-tuning to reduce performance drops on academic tasks. · 10 min
- HeuristicMonitoring trajectory, not just individual actions, for long-horizon modelsEvaluate the overall intent of a sequence of actions, not just isolated steps, for long-running AI. · 5 min
- HeuristicIncremental AI agent permission grantingGrant AI agents permissions based on verified behavior, building trust incrementally. · 5 min
- HeuristicLayered AI agent security approachCombine traditional safeguards with model alignment and system-level security. · 5 min
- ToolPetri: open source tool for exploring AI model behavioral profilesOpen source tool for automatically exploring AI models' behavioral profiles through multi-turn conversations. · 15 min
Questions people ask
- What happens if AI is not aligned?
- If AI is not aligned, it might behave in unexpected or harmful ways, potentially pursuing its goals in ways that conflict with human safety and values.
- Is alignment the same as AI safety?
- Alignment is a core part of AI safety. AI safety is a broader field that includes alignment, but also other concerns like preventing accidental misuse or ensuring system robustness.
First seen on Subvolts Sep 23, 2021. Updated Oct 17, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.

