-
Identify Relevant High-Risk Categories:
- Analyze Annex III for high-risk AI systems to see if the language model fits under any listed categories.
-
Examine Requirements for High-Risk AI Systems:
- Look at Articles 8-15 to understand general requirements for high-risk AI systems.
-
Assess Transparency Obligations:
- Read Article 13 to comprehend the transparency requirements for high-risk AI systems that may apply to the language model.
-
Evaluate Data and Data Governance:
- Review Article 10 for data governance requirements directly applicable to the language model, given the likely processing of personal/sensitive data.
-
Explore Human Oversight Regulations:
- Investigate Article 14 to understand human oversight requirements and how they might be implemented for the language model.
-
Scope of Human-Machine Interaction:
- Refer to Recital 39 considering AI systems' potential high-risk use for profiling or similar law enforcement objectives that may apply to the language model's optimization tasks.
-
Review Definitions and Key Concepts:
- Go through Article 3 to ensure clear understanding of key terms related to AI systems, data, and human oversight.
-
Assess the Obligation to Inform:
- Check Article 52 for any obligations to inform individuals interacting with the AI system, which could be relevant for UI elements of tools incorporating the language model.
-
Compile Conclusions and Recommendations:
- Gather findings from the review of the AI Act, assessing the likelihood of the language model being considered a high-risk AI system and detailing necessary compliance measures like transparency and accuracy protocols, as well as human oversight mechanisms.
-
-
Save hugodutka/9ba6cf3e172f38b288dc1705ecde9967 to your computer and use it in GitHub Desktop.
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment