AI Literacy for Legal AI Systems: A practical approach

TL;DR

This paper discusses the importance of AI literacy in the legal domain, proposing a practical tool to help developers and providers assess risks, benefits, and stakeholder concerns in deploying legal AI systems.

Contribution

It introduces the concept of legal AI systems and develops a roadmap questionnaire as a practical assessment tool for ethical and regulatory compliance.

Findings

Proposes a practical risk-benefit assessment tool for legal AI systems

Highlights the role of AI literacy in ethical AI deployment

Links AI literacy to legal and societal expectations

Abstract

Legal AI systems are increasingly being adopted by judicial and legal system deployers and providers worldwide to support a range of applications. While they offer potential benefits such as reducing bias, increasing efficiency, and improving accountability, they also pose significant risks, requiring a careful balance between opportunities, and legal and ethical development and deployment. AI literacy, as a legal requirement under the EU AI Act and a critical enabler of ethical AI for deployers and providers, could be a tool to achieve this. The article introduces the term "legal AI systems" and then analyzes the concept of AI literacy and the benefits and risks associated with these systems. This analysis is linked to a broader AI-L concept for organizations that deal with legal AI systems. The outcome of the article, a roadmap questionnaire as a practical tool for developers and providers to assess risks, benefits, and stakeholder concerns, could be useful in meeting societal and regulatory expectations for legal AI.