The future of AI must not be built on immunity, but on integrity, argues SONNY IROCHE The recent policy direction emerging from Washington, suggesting that the United States should prioritise innovation while shielding artificial intelligence companies from legal liability, has triggered an important global debate.
The argument, at its core, is simple: do not stifle innovation.
But beneath that simplicity lies a far more complex and troubling question, who bears responsibility when AI systems cause harm? As an AI strategist working across banking and finance, governance, policy, and enterprise transformation, I find the current posture deeply instructive, not just for the United States, but for Nigeria and the rest of Africa and other emerging regions that are still shaping their own AI futures.
The White House recommendations, as interpreted by critics, appear to lean toward a familiar model in technological revolutions: protect the innovators first, regulate later.
This was the approach taken during the early days of the internet and social media.
The consequences are now well documented, misinformation, data exploitation, algorithmic bias, and the erosion of public trust.
We must be careful not to repeat history; as innovation without accountability is a strategic risk.
Artificial Intelligence is not just another technology.
It is a decision-making system, one that increasingly influences finance, healthcare, law enforcement, education, and national security.
When an AI system: denies a loan, flags a transaction as fraudulent, misdiagnoses a patient, or influences democratic processes, it is not merely “software at work.” It is power being exercised.To shield AI companies from legal accountability in such contexts is to create what I would describe as: “asymmetric responsibility”, where impact is societal, but liability is optional.
This is neither sustainable nor ethical.
The Missing Middle: Responsible Innovation There is a false dichotomy often presented in policy circles: Regulate too early means innovation dies; regulate too late means harm proliferates.
The real answer lies in what I call “Responsible Acceleration.” This means: encouraging innovation while embedding governance from the outset.
Frameworks already exist to guide this balance.
The UNESCO AI Readiness Assessment Methodology (RAM), in which I have had the privilege to contribute, as a member of UNESCO Technical Working Group on RAM,....
