Value Alignment
Definition
Value alignment aims to make AI behavior compatible with human goals and limits.
The research problem of making AI behavior compatible with plural human goals, norms, and legitimate boundaries.
Simply explained
An AI system should not only solve a task but also consider human rules and diverse value systems.
Why it matters in practice
The term helps to select, develop, evaluate AI systems in a well-founded manner and realistically assess their technical risks.
Example from business
A company translates safety, legal, and service principles into verifiable requirements and escalations.
Limits and pitfalls
- Human values are not uniform; preference data, majority judgments, or RLHF do not automatically resolve conflicts.
Origin & history
Value Alignment originated from AI safety and control research; there is no unified operational definition.
Use in mid-sized companies
- Possible application: A company translates safety, legal, and service principles into verifiable requirements and escalations.
Frequently asked questions
What does alignment with human values mean?
The research problem of making AI behavior compatible with plural human goals, norms, and legitimate boundaries. What should be considered? Human values are not uniform; preference data, majority judgments, or RLHF do not automatically resolve conflicts.
Sources
- Concrete Problems in AI Safety · Amodei et al., Concrete Problems in AI Safety
Source checked on 10.10.2026. Editorial application examples are hypothetical; no evidence of real customer results.
Editorially reviewed on: