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Simplifying software compliance: AI technologies in drafting technical documentation for the AI Act.

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Summary
This summary is machine-generated.

AI tools like ChatGPT and DoXpert can help developers meet European AI Act documentation requirements. While ChatGPT shows limitations, DoXpert demonstrates moderate success in identifying compliance gaps, aiding responsible AI development.

Keywords:
AI ActApplied computing in lawLegal complianceSoftware documentationTechnical documentation

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Area of Science:

  • Computer Science
  • Law and Technology

Background:

  • The European AI Act mandates technical documentation for AI systems.
  • Compliance is complex, requiring expertise in both legal and technical domains.
  • Small and medium-sized enterprises face significant challenges and costs in meeting these requirements.

Purpose of the Study:

  • To investigate the utility of contemporary AI technologies in assisting software developers with AI Act technical documentation.
  • To evaluate the effectiveness of AI tools in identifying documentation gaps against AI Act provisions.
  • To compare AI-generated compliance assessments with expert legal judgments.

Main Methods:

  • Case studies using open-source, high-risk AI systems.
  • Application of AI tools, including ChatGPT (versions 3.5 and 4) and DoXpert.
  • Collaboration with legal experts for evaluation of AI-generated assessments.
  • Statistical analysis using Rank Biserial Correlation.

Main Results:

  • Partial alignment observed between AI tool assessments and expert opinions.
  • Significant issues identified with ChatGPT's performance in compliance assessment.
  • DoXpert showed a moderate, statistically significant correlation with expert judgments.
  • AI tools show potential in identifying documentation gaps for AI Act compliance.

Conclusions:

  • AI tools can assist in alleviating the burden of AI Act compliance documentation.
  • Combining AI analysis with human expertise offers a promising approach to responsible AI development.
  • Further development and validation of AI tools are needed for robust regulatory compliance.