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Towards human-centred standards for legal help AI
1Legal Design Lab, Stanford Law School, Stanford, CA, USA.
Summary
Community members
Area of Science:
- Legal Technology
- Human-Computer Interaction
- Sociology of Law
Background:
- Artificial intelligence (AI) is increasingly considered for the legal sector.
- Designing AI and policies requires prioritizing community member perspectives.
- Existing proposals often stem from legal domain experts.
Purpose of the Study:
- To explore how community members want to use AI for legal problems.
- To understand community members' priorities and concerns regarding legal AI.
- To inform the design of AI tools and policies for civil justice.
Main Methods:
- Structured interviews with community members.
- Design sessions exploring AI tool interfaces.
- Gathering feedback on AI use for legal issues like eviction notices.
Main Results:
- Community members expressed preferences for AI tool design and engagement.
- Identified key concerns and perceived value of AI in civil justice.
- Empirical findings offer a counterbalance to expert-driven proposals.
Conclusions:
- Prioritizing community perspectives is crucial for equitable AI and policy design in law.
- Direct input from users ensures AI tools meet actual needs and preferences.
- This research supports a human-centered approach to legal AI development.
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