AI agents are increasingly integral to enterprise operations, handling tasks such as customer support and regulatory documentation with a level of autonomy that requires a reevaluation of governance, risk, and compliance (GRC) frameworks. As these agents operate in sensitive environments, traditional oversight methods must evolve to ensure real-time governance and mitigate emerging risks.
California’s “No Robo Bosses Act,” which has advanced in the legislature, aims to regulate the use of artificial intelligence in workplace decision-making to prevent unfair treatment of employees. The bill would require human oversight for automated decisions regarding promotions, discipline, and firings.
Wits CISO Galeboe Mogotsi emphasizes the importance of AI literacy as mandated by the new EU AI Act, which will impact both businesses and higher education institutions. He advocates for partnerships to enhance digital skills training and ethical considerations in AI development, aiming to ensure that all communities benefit from AI opportunities.
Agentic AI is transforming the landscape of work in Australia and New Zealand by automating tedious tasks without direct human input, allowing professionals to focus on strategic initiatives. However, organizations must prioritize strong data governance to ensure these AI systems operate securely and effectively.
Financial CISOs are navigating the challenge of adopting AI while defending against AI-powered threats, such as sophisticated phishing and deepfake fraud. To address this duality, a robust strategic framework is essential, including the establishment of dedicated AI governance and prioritization of Explainable AI (XAI).
Many generative AI projects are failing to scale because organizations are overlooking foundational needs like network modernization and governance frameworks. According to John Lombard, CEO of NTT Data Asia-Pacific, addressing technology debt and establishing clear governance is essential before fully harnessing the power of generative AI.