AI technologies are revolutionizing model risk management in banks by enhancing productivity, reducing errors, and ensuring compliance through automation. Financial institutions must strategically integrate these technologies within their governance frameworks to effectively manage escalating model complexities and risks.
South African organisations are rapidly adopting artificial intelligence, but many overlook the ethical considerations that could jeopardize efficiency, regulatory compliance, and brand trust. Alkemi Collective CEO Bradly Howland stresses that ethical AI governance must be prioritized alongside compliance and cybersecurity to mitigate operational risks.
IBM has introduced Sovereign Core, a software platform designed to empower organizations to maintain control and compliance of cloud and AI workloads within their national and regional borders, addressing the growing demand for digital sovereignty in regulated industries.
Cerberus Capital Management has selected Behavox’s Quantum AI solution to strengthen its compliance program, improving operational efficiency and reducing false positives across communications surveillance.
Michael Kratsios, White House AI strategy leader, provided limited details to lawmakers about forthcoming legislative recommendations for a national AI standard intended to supersede state laws. Lawmakers raised concerns about the balance of AI regulation between state and federal governments and called for clarity on the framework’s implications for innovation and safety.
The debate on artificial intelligence (AI) in banking and financial services (BFSI) often overlooks a key fact: AI’s success depends on its integration into regulated ecosystems rather than quick wins. Regulatory frameworks enable safe, responsible, and scalable AI operations across diverse financial institutions.
AI is being integrated into enterprise systems faster than organizations can secure and govern it, creating critical infrastructure gaps. Despite growing investments in AI, many companies face challenges with data integrity, governance, and operational complexity as they transition from pilot programs to core business workflows.
IBM has launched its Sovereign Core software to help enterprises, governments, and service providers build and manage AI-ready sovereign environments, addressing compliance needs while ensuring operational independence for AI workloads.
Heather Dawe, Chief Data Scientist at UST, highlights the importance of integrating responsible AI practices early in AI development to prevent failures and bias. She stresses collaboration among government, industry, and academia, as well as the critical role of skills and training for ethical AI adoption in organizations.
The Department of Commerce’s new regulation permits advanced AI chip exports to China despite national security concerns, creating a strategically incoherent and unenforceable policy that risks enhancing China’s AI capabilities.