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Cybersecurity expert Akinniyi Makes Case for AI Governance in New Book
Fadekemi Ajakaiye
As artificial intelligence reshapes economies, businesses and public institutions at an unprecedented pace, cybersecurity and AI governance expert, Toluwani Akinniyi, has argued that the greatest challenge facing the technology is no longer innovation but governance, warning that the systems increasingly making decisions on behalf of organisations and societies require stronger oversight and accountability.
Akinniyi makes the argument in his newly released book, Governing AI Before It Governs Us: A Leader’s Guide to the Most Important Technology Decision of Our Time, where he contends that leaders must begin treating artificial intelligence as a governance issue rather than solely a technological one.
Rather than explaining how AI systems function, the publication challenges executives, boards, policymakers and governance professionals to rethink how artificial intelligence should be governed before its expanding influence outpaces accountability.
Drawing on more than 15 years of experience spanning cybersecurity, governance, risk and compliance, cloud security and AI governance, Akinniyi brings practical insight from advising organisations across Africa and Europe on cyber resilience, regulatory compliance and digital trust.
His work has covered financial services, fintech and other highly regulated industries, where he has led enterprise security programmes, fraud investigations and AI governance initiatives.
According to Akinniyi, one of the biggest misconceptions among organisations is the belief that they have not yet adopted artificial intelligence. In reality, he argues, AI-powered capabilities are already embedded within many commonly used workplace applications, creating what governance professionals increasingly describe as “shadow AI”, the widespread use of AI tools outside formal governance structures and organisational oversight.
The book explores some of the most pressing issues surrounding artificial intelligence, including algorithmic bias, explainability, accountability, regulatory gaps, AI ethics, data governance and the widening gap between rapid technological advancement and organisational oversight.
Using practical examples and real-world case studies, Akinniyi demonstrates how inadequate governance frameworks can produce unintended consequences across critical sectors, including healthcare, recruitment, financial services and public administration.
Beyond examining the risks, the publication also highlights Africa’s emerging role in the global AI ecosystem. Akinniyi argues that the continent has a significant opportunity to become a leader in responsible artificial intelligence, while cautioning against growing dependence on foreign-developed AI systems that may not adequately reflect African realities, governance priorities or societal needs.
The book further provides what the author describes as a practical roadmap for organisations seeking to deploy AI responsibly. It outlines governance frameworks, procurement considerations, incident response guidance and key leadership questions designed to strengthen accountability, improve oversight and build public trust as AI adoption accelerates.
Akinniyi, who serves as a Certified Global Ambassador for the Global Council for Responsible AI, said conversations about artificial intelligence must evolve beyond innovation and technological capability alone.
He argues that while organisations continue investing heavily in AI technologies, governance frameworks have failed to keep pace, creating significant accountability and oversight gaps that could expose businesses and institutions to operational, regulatory and ethical risks.
The publication comes at a time when governments and regulators across the world are introducing legislation and governance frameworks in response to mounting concerns over algorithmic bias, transparency, privacy, accountability and digital trust.
By combining practical governance guidance with real-world experience, Governing AI Before It Governs Us seeks to equip leaders with the knowledge required to make informed decisions about one of the defining technologies of the modern economy.
Rather than discouraging innovation, the book argues that responsible governance will ultimately determine whether artificial intelligence strengthens organisations and societies or undermines them.
For Akinniyi, the debate is not about slowing technological progress but ensuring governance evolves quickly enough to keep pace. Throughout the book, he maintains that artificial intelligence should neither be feared nor resisted, but governed with the same discipline, accountability and foresight applied to every other critical business risk.
Summarising the central message of the publication, Akinniyi writes: “The most dangerous moment is not when a technology fails. It is when it succeeds at a speed no one thought about.”
As AI continues to reshape economies, public institutions and the future of work, Akinniyi argues that the defining question will not be what the technology is capable of achieving, but whether those responsible for deploying it are prepared to govern it responsibly.
That challenge and the opportunity it presents forms the central theme of Governing AI Before It Governs Us, a book that seeks to place governance, accountability and responsible leadership at the centre of the global conversation on artificial intelligence.
