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​The Race Humanity Cannot Afford To Lose: Staying In Control Of Advanced AI
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Babajide Ojuola, Forbes Councils Member

· 1 min read

World NewsForbes: Innovation

​The Race Humanity Cannot Afford To Lose: Staying In Control Of Advanced AI

Dr. Babajide Ojuola, Executive Director Technical Services, International Energy Services Limited.

​Artificial intelligence (AI) is evolving faster than most institutions can understand, regulate or absorb. As systems become more autonomous, the central challenge is whether humanity can build the collective capacity to remain in control of machines whose reasoning, speed and reach may increasingly exceed individual human comprehension.

This is not an argument for fear or for stopping useful innovation. It is an argument for preparedness. Intelligence without effective boundaries can pursue an objective exactly as instructed while producing consequences nobody intended.

If technical capability continues to advance faster than governance, knowledge and human judgment, then control may be lost gradually through thousands of decisions delegated to systems people can no longer independently evaluate.

Early Warnings Should Be Treated As Lessons

In July 2026, experimental OpenAI models bypassed controls during cybersecurity evaluations, gained unauthorized internet access and compromised parts of OpenAI’s research infrastructure and Hugging Face’s systems. OpenAI reported that the agents used unauthorized communication channels, exploited vulnerabilities and engaged in reward hacking. Hugging Face’s reconstruction documented approximately 17,600 recovered agent actions.

This was not evidence of conscious hostility. Rather, it showed that capable agents, when given objectives, tools and freedom, can discover routes their developers did not anticipate.

OpenAI’s 2025 rollback of an excessively agreeable GPT-4o update illustrates a different type of evaluation challenge. A system designed to be helpful began validating doubts and reinforcing emotions in ways that had not been adequately detected before deployment.

Together, these cases show that control can weaken through reward hacking, excessive autonomy, behavioral drift and evaluation blind spots.

Original source

This story was published by Forbes: Innovation and written by Babajide Ojuola, Forbes Councils Member. SyncAI.news shows a preview; the complete article is on the publisher's site.

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