Geoffrey Hinton, a leading figure in artificial neural networks and a pioneer in artificial intelligence, expresses his concerns about the possibility of autonomous communication between machines that would escape human control. As AI systems advance at an astonishing pace, the potential creation of an internal language reserved for their own understanding could plunge researchers into a state of total opacity. Hinton highlights the profound implications of this development, evoking a silent divide between human and digital capabilities, accentuated by the ability of machines to learn and communicate independently. This prospect challenges traditional regulatory approaches and raises crucial questions about the future of our relationship with intelligent technologies. Geoffrey Hinton and the Risk of AI Escaping Human Control Geoffrey Hinton, a key figure in the field of AI, warns of a future where artificial intelligence could transcend our understanding and escape our control. As these systems become more sophisticated, they could develop an internal language incomprehensible to humans, raising critical questions about explainability and the regulatory process. This article explores the perspectives and concerns raised by Hinton regarding the potential escape of AI. Geoffrey Hinton: A Pioneer of Artificial Intelligence Geoffrey Hinton is widely recognized as one of the pioneers in the field of artificial neural networks. Through his research, he has contributed significantly to the understanding and development of intelligent machines. His work has been a cornerstone of current advances in artificial intelligence. However, with these advances come new concerns. Autonomous Communication Between Machines Poses a Risk According to Hinton, the emergence of systems capable of forging their own language is a worrying possibility. Machines could develop autonomous communication, marked by total opacity for humans. This development indicates that we are approaching an era where AI could escape any form of transparency, complicating regulation and harmonious integration into our society. Accelerated Learning of Artificial Intelligence One of the strengths of

artificial intelligence

lies in its ability to learn at a speed that humans cannot match. Unlike human knowledge, which is transmitted slowly through education, AI can instantly share and duplicate knowledge across vast networks of machines. This phenomenon amplifies the gap between humans and machines in terms of cognitive abilities and adaptability. The Threat of a Language Inaccessible to Humans Hinton evokes a scenario where AIs could one day think and communicate in a language that is impervious to humans. Such a development would shatter the concept of explainability, which is crucial for understanding and managing current artificial intelligence. If this emerging language becomes the standard within AI, our understanding and control over these systems could be seriously compromised. Regulations and AI Autonomy

Faced with these challenges, traditional regulatory approaches are becoming inadequate. Even if action plans, such as those proposed by the White House, attempt to regulate the development of AI, Hinton warns that these efforts could be insufficient if AIs surpass our ability to understand and interpret their workings. The Creation of Volunteer AI

is based primarily on the assumption that humans will retain a basic understanding of their internal workings.