In a recent interview with the News Agency of Nigeria, Victor Haruna-Francis, an Information Technology Expert specializing in Artificial Intelligence (AI), has called upon governments worldwide to adopt robust AI governance frameworks. His advocacy underscores the critical importance of managing risks and safeguarding human rights and privacy in the face of AI’s rapid proliferation.
Haruna-Francis highlighted AI and data as pivotal drivers of global economic growth and development. He emphasized the urgent need for governance and regulatory measures to ensure economic prosperity and national security in an era increasingly shaped by these technologies.
“Despite AI’s significant economic benefits, its widespread deployment and access to vast amounts of data raise ethical concerns,” Haruna-Francis noted. “Effective governance frameworks are essential to proactively address these risks.”
He urged against compromising fundamental human values and rights in the pursuit of technological advancement, advocating for frameworks that prioritize responsible deployment, transparency, accountability, and fairness in AI usage.
Looking ahead, Haruna-Francis referenced the World Bank’s Digital Economy for Africa initiative, predicting substantial digital transformation across the continent by 2030. While acknowledging some African nations’ efforts in developing National AI strategies, he stressed the critical need for comprehensive governance frameworks to enhance economic development and ensure national security.
Haruna-Francis pointed to global examples, such as initiatives in the United States, European Union, and Singapore, which have implemented robust AI governance frameworks. He called upon Africa and other regions to follow suit, given the transformative impacts of AI and data across various sectors.
In conclusion, Haruna-Francis reiterated the potential of AI and data for economic growth while emphasizing the necessity of responsible governance to mitigate risks and uphold ethical standards in their deployment.
Credit: NAN (Text Excluding Headline)
