AIASC 235: Notes Accompanying AI System Reports

Purpose and Scope:

This document offers guidance on the notes and supplementary information that should accompany AI system performance reports. The principles ensure that stakeholders receive comprehensive, contextual, and clear information about AI operations.

1. Principle of AI System Overview:

• Notes should provide a detailed overview of the AI system, its purpose, key functionalities, and its strategic importance to the entity.

2. Principle of Data Sources and Quality:

• Detailed notes about the sources of data, data acquisition methods, data preprocessing, and any potential biases or quality concerns should be provided.

3. Principle of Model Architecture and Parameters:

• Technical details about the AI model, including its architecture, hyperparameters, training methodologies, and versioning, should be disclosed.

4. Principle of External Dependencies:

• Any dependencies on external tools, platforms, third-party algorithms, or services that are crucial to the AI system's operation should be highlighted.

5. Principle of Ethical and Regulatory Compliance:

• Notes should detail the ethical guidelines followed, any regulatory compliance adhered to, and results from any ethical or fairness audits.

6. Principle of Limitations and Assumptions:

• Limitations of the AI system, assumptions made during its development, and potential risks or uncertainties should be disclosed.

7. Principle of Stakeholder Feedback and Involvement:

• Information about how stakeholders, including end-users and those impacted by the AI system's decisions, were involved in its development or evaluation, and how feedback was incorporated.

8. Principle of Post-Deployment Monitoring:

• Details about how the AI system is monitored post-deployment, including any performance drifts, retraining cycles, and real-world impact assessments.

9. Principle of Future Roadmap:

• If applicable, notes should provide insights into the future development roadmap, planned enhancements, or expansions for the AI system.

Updates and Amendments:The AIASC 235 guidelines will be periodically reviewed and updated to keep pace with advancements in AI technology, best practices in AI documentation, and feedback from stakeholders and the public.

Note: This is a fictional representation and does not represent any real-world standard for AI. The development of such standards would involve extensive consultations with experts, stakeholders, and the public. Fictional representations simplify complex AI concepts, stimulate discussion, envision future scenarios, highlight ethical considerations, encourage creativity, bridge knowledge gaps, and set benchmarks for debate in fields like accounting.