Governance & Regulation (Where It Gets Hard)

1. 1Identify regulatory requirements for AI in financial systems
2. 2Assess existing AI governance frameworks for gaps and weaknesses
3. 3Develop strategies to address regulatory complexities in AI engineering
4. 4Implement robust testing and validation protocols for AI systems
5. 5Collaborate with stakeholders to ensure transparency and accountability in AI decision-making

Compliance and risk management teams in financial institutions benefit from understanding AI governance challenges to ensure regulatory adherence

💡 Regulatory complexities make AI governance more challenging than AI engineering

🚨 AI governance is harder than AI engineering in financial systems! 🚨