5 ways rules and regulations can help guide your AI innovation

This ZDNET article summarizes five practical ways leaders can use governance to guide AI innovation amid a shifting regulatory landscape: explore within constraints (sandboxing and whitelists), collaborate with external and government partners, address bespoke risk cases through focused threat-modeling, foster internal culture and relationships with data protection and security teams, and ask critical questions about data quality, transformation, and documentation. The piece emphasizes balancing innovation and risk, maintaining human oversight, and thoroughly documenting data and processes to support regulatory approval and ongoing validation.