AI project transparency

Peter Haenni

• 1 min read
AI project transparency
SIPOC process map auto generated by the ProcessHorizon web app

SIPOC process mapping can play a crucial role in helping stakeholders identify conceivable risks of non-compliance of AI projects with the EU AI Act by providing a structured framework to analyze the process flow, dependencies and data handling practices.

1. Supplier Identification (S)

  • Risk Identification: Stakeholders can identify potential risks related to third-party data suppliers not meeting EU data protection standards, leading to non-compliance with data privacy regulations under the EU AI Act.

2. Input Analysis (I)

  • Risk Assessment: Stakeholders can assess the quality and origin of data inputs within the AI process, pinpointing risks such as biased data sources that may result in discriminatory AI outcomes, violating fairness principles in the EU AI Act.

3. Process Examination (P)

  • Risk Evaluation: By analyzing the AI process steps, stakeholders can identify risks such as lack of transparency in algorithmic decision-making, which might lead to non-compliance with the explainability requirements of the EU AI Act.

4. Output Assessment (O)

  • Risk Monitoring: Monitoring the AI project outputs enables stakeholders to flag risks like inaccurate predictions or unreliable results, potentially violating the accuracy and reliability standards set forth in the EU AI Act.

5. Customer Review (C)

  • Risk Mitigation: Involving customers in the process allows stakeholders to address risks related to non-compliance with user consent and rights provisions under the EU AI Act, ensuring that customers' rights are respected throughout the AI project lifecycle.

By leveraging the SIPOC process mapping framework, stakeholders can systematically examine each stage of the AI process, identify conceivable risks of non-compliance with the EU AI Act and implement proactive measures to mitigate these risks. This structured approach not only enhances compliance readiness but also fosters a culture of accountability, transparency and responsible AI deployment in alignment with regulatory requirements.

Using the following link you can access this sandbox SIPOC data & process model in the ProcessHorizon web app and adapt it to your needs (easy customizing) and export or print the automagically created visual AllinOne process map as a PDF document or share it with your peers: https://app.processhorizon.com/enterprises/HLsHLaewQQwxniNjUJmiXEC1/frontend