Day: January 16, 2026

Unlocking the Full Potential of Enterprise AI

Artificial intelligence (AI) can boost productivity by up to 40%, but scaling AI across an enterprise requires AI-ready data, skilled talent, and responsible governance. Organizations that successfully implement responsible AI practices not only reduce costs but also enhance innovation and maintain trust in their systems.

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AI Autonomy and the Responsibility Debate

Ben Goertzel and Jaron Lanier present contrasting perspectives on AI autonomy and accountability in a recent episode of The Ten Reckonings of AGI series. Lanier emphasizes the necessity of human responsibility for AI actions, while Goertzel challenges the notion of fixed human moral primacy as AI evolves.

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Transforming Model Risk Management with AI Innovation

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.

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Ethical AI: The Key to Sustainable Business Success

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.

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White House Struggles to Define National AI Regulatory Framework

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.

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