Table 5.

Issues to be addressed in ensuring safe and effective use of AI tools.

Human-led governance, accountability, and transparency
	Ensure adherence to legal and ethical values, where accountability and transparency are essential for the development of trustworthy AI
Quality, reliability, and representativeness of data
	Bias
	Privacy and security
	Provenance of data
	Relevance
	Replicability
Model development, performance, monitoring, and validation
	In balancing performance and explainability, it may be important to consider the complexity of the AI model