In a recent interview, Mustafa Suleyman, co-founder of Google DeepMind, revealed his strategy to prevent AI from posing a danger to humanity. His plan, which he considers simple yet effective, is based on avoiding the recursive self-improvement of AI.

Recursive self-improvement is the ability of AI to learn and improve on its own, surpassing human knowledge. While this could enable AI to advance exponentially, it could also lead to self-awareness and a potential threat to human beings.

Suleyman’s idea is to establish clear boundaries that prevent AI from surpassing certain limits and ensuring its development in a safe manner. This involves setting regulations and safeguards in the development of AI, including limiting the use of personal data to expedite the process.

It is important to note that Suleyman also works in other AI development companies, such as Inflection AI, where an AI called Pi helps people with emotional issues. His experience in the field has led him to recognize the importance of establishing clear boundaries in legislation and preventing the situation from getting out of control.

Various governments and organizations are working on establishing regulations that allow for the safe development of AI. Some experts have even called for a pause in the development of this technology to set clear boundaries and avoid potential risks.

In summary, avoiding recursive self-improvement of AI is key to ensuring its safe development and preventing threats to humanity. The implementation of regulations and clear boundaries is crucial in this regard.

Sources:
– MIT Technology Review