AI Procurement Checklists: Revisiting Implementation in the Age of AI Governance
This research delves into AI procurement processes, focusing on the balance between ethical guidelines and practicality. Key issues confronted include:
- Addressing biases and safety concerns inherent in AI products used by governments.
- Managing the complexity of procurement processes to prevent merely performative regulatory compliance.
Insights:
- Analysis of mature AI regulations from countries like Brazil, Singapore, and Canada.
- Identification of critical pitfalls such as a lack of necessary expertise, risks, and transparency.
The paper emphasizes the need for robust frameworks that ensure both effectiveness and fairness in public sector AI utilization, suggesting viable routes for future regulatory enhancements.
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