GlossarySafetyIntermediate

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.

In plain terms

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.

The expert version

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.

Why it matters now

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.

Where it shows up 68 items, newest first
How each company uses it
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.
Related terms

AI safetyAI ethicsValue alignmentAI control problemAI riskSuperintelligence

Often confused with
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
Origin

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 ↗

Try this about 5 minutes

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.

Try it: Playbook entries that use thisPlaybook →

The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.

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.