Bengio, a pioneering figure in modern AI and a key player in deep learning, expressed regret in a BBC interview about the rapid and unchecked growth of AI. He fears the potential dangers if AI falls into the wrong hands, noting its increasing sophistication and power. Bengio, who was part of the trio awarded the Turing Award in 2018 for their work in deep learning, has been a vocal advocate for responsible AI development.

His groundbreaking work, particularly in deep learning and representation learning, has been foundational. Bengio's 2009 paper "Learning Deep Architectures for AI" was a significant contribution, highlighting the potential of deep belief networks. He has also emphasized the importance of data representation in machine learning success.

Despite these achievements, Bengio now grapples with the ethical implications of his creations. He worries about AI misuse by terrorists or other bad actors and stresses the need for ethical AI development and regulation. His concerns are echoed by other industry leaders, including Geoffrey Hinton, who share fears about AI's potential risks.

Bengio advocates for a proactive approach in AI ethics, suggesting rigorous monitoring and ethical training in computer science education. His views, alongside those of other AI experts, highlight the complex societal impact of AI and the need for a balanced approach to its development.

As an AI enthusiast and educator, I find Bengio's reflections crucial in understanding AI's global challenges. It's a call for innovation coupled with caution, resonating deeply with those involved in AI research and application.