Category: AI Ethics

AI Governance: The UN’s Bold New Initiatives

At the 80th session of the United Nations General Assembly, two new initiatives were launched: the Global Dialogue on AI Governance and the Independent International Scientific Panel on AI, both aimed at addressing critical issues surrounding AI. This ambitious governance framework seeks to promote international cooperation and informed policymaking, but challenges remain regarding enforcement, funding, and achieving equitable outcomes.

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AI Governance and InfoSec: Understanding Their Distinct Roles

This article clarifies the differences between AI governance and information security (InfoSec), emphasizing the need for both a secure framework and responsible operational guidelines in AI initiatives. It highlights the importance of integrating AI governance with InfoSec to manage risks effectively, ensuring that AI systems are not only secure but also ethical and compliant.

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Building Trust in Superintelligent AI

The AI safety paradox highlights the challenge of creating a superintelligence that can effectively solve complex problems without causing unintended harm. As we approach this new frontier, it becomes essential to focus on instilling values and understanding, rather than just setting rigid objectives for AI systems.

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Responsible AI: Key to Business Success

A recent EY survey reveals that companies implementing advanced Responsible AI measures experience significant improvements in innovation, efficiency, and revenue growth. However, nearly all organizations face financial losses due to AI-related risks, highlighting the urgent need for effective governance and controls in AI deployment.

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Learning from Past Failures in AI Governance

As global leaders gather in Tallinn for the Digital Summit 2025, reflections on Estonia’s Soviet past reveal important lessons for modern AI governance. The article argues for governance models that emphasize diversity, distributed authority, and community-informed design to avoid the pitfalls of past collective failures.

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Ethics in AI Adoption: Avoiding the Trap of Ethics Washing

At the recent ICSAN conference in Lagos, AI governance expert Olajide Olugbade emphasized the importance of establishing effective governance systems for AI adoption to avoid “ethics washing.” He warned that many organizations create ethics offices that serve merely symbolic purposes, lacking the necessary authority to enforce responsible innovation.

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Transforming AI Investment into Real Impact

Responsible AI can transform how organizations leverage artificial intelligence, leading to greater profits, enhanced employee satisfaction, and reduced costly mistakes. Companies that implement strong governance and clear principles in their AI strategies are more likely to see significant improvements in revenue growth and overall performance.

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Unlocking Competitive Advantage Through Ethical AI Governance

AI is not just a buzzword anymore; it is integrated into various aspects of business operations, making ethical governance crucial for startups. By establishing clear values and accountability, companies can not only avoid pitfalls but also gain a competitive advantage in the evolving landscape of AI.

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Empowering Africa through Responsible AI and Digital Innovation

Africa is poised to lead in the ethical deployment of artificial intelligence (AI) as it rapidly builds its digital technology capabilities. By investing in responsible AI, robust cybersecurity, and inclusive payment technologies, the continent aims to address challenges like financial exclusion and unlock economic growth.

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