arXiv:2605.23420v1 Announce Type: new Abstract: Social norms reflect shared expectations on acceptable behavior. Measuring social norms alignment remains challenging, with existing approaches typically relying on artificial closed-form evaluations such as multiple-choice questionnaires or measuring agreement with predefined statements. In the context of this work, social norms alignment refers to measuring an agreement between solutions with respect to the social problem or dilemma. We propose a framework for measuring social norm alignment in naturalistic, free-form settings through solution
The proliferation of advanced AI systems necessitates robust methods to ensure their alignment with human social norms, a critical challenge for safe and ethical AI deployment.
Measuring social norms alignment in naturalistic settings is crucial for developing AI that integrates seamlessly and ethically into society, addressing potential biases and harmful behaviors effectively.
This framework shifts from artificial, closed-form evaluations to more realistic, free-form assessments of AI's alignment with social norms, promising more accurate and actionable insights.
- · AI ethicists
- · AI developers
- · Regulatory bodies
- · Social scientists
- · Developers of unaligned AI systems
- · Methodologies reliant solely on artificial evaluations
More accurate assessment of AI alignment with societal values becomes possible.
Improved tools for identifying and mitigating AI biases could lead to more trustworthy and widely adopted AI applications.
The ability to measure and enforce social norms in AI could accelerate the development of truly autonomous and ethically integrated AI agents, influencing future regulatory frameworks.
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Read at arXiv cs.CL