Best scientists in artificial intelligence

Often called the 'Godfather of Deep Learning,' Hinton's foundational work on neural networks and backpropagation algorithms is crucial for modern AI systems. He continues to be a leading voice in the critical discourse around AI safety and governance.

LeCun is renowned for his work on convolutional neural networks (CNNs), which revolutionized computer vision and enabled AI to better handle images and written characters. As Chief AI Scientist at Meta, he continues to drive advancements in the field.

Ng has democratized AI knowledge through his online courses and co-founded Google Brain, making him a leading voice in AI education and research. He focuses on making AI practical and accessible for enterprises, particularly in manufacturing and industrial automation.

A pioneer of deep learning, Bengio co-developed neural network training algorithms and high-dimensional word embeddings. He leads AI safety work through LawZero and was elected co-chair of the UN's Independent International Scientific Panel on AI in 2026.

Li spearheaded the ImageNet project, which revolutionized computer vision by providing a large-scale dataset for training AI models. She continues to lead research and institution-building around responsible AI adoption and human-centered AI.

Co-founder and CEO of DeepMind, Hassabis has driven impressive AI achievements, including AlphaFold's contribution to protein structure prediction. He is considered the most credentialed scientific voice in the AI industry due to his world-class technical achievements.

As a co-founder and former Chief Scientist of OpenAI, Sutskever has been a key architect behind the development of large language models like the GPT series. His work has been central to the advancements in generative AI that are defining the current landscape.

Co-founder and CEO of Anthropic, Amodei has established a leading AI safety company with its Claude models. His commitment to responsible AI development and technical depth make him a crucial figure in the current AI landscape.

As CEO of OpenAI, Altman has been instrumental in accelerating global AI adoption and shaping public and commercial conversations around generative AI. He is a prominent voice on AI safety, regulation, and societal impact, driving both technological advancements and ethical discussions.

A leading voice in AI safety and a prominent professor at UC Berkeley, Russell's work focuses on ensuring AI systems are beneficial to humanity. He anchors much of the serious discourse on acceptable risk, evaluation, and policy-facing governance in AI.

Gebru is a leading researcher in AI ethics, whose work highlights biases and ethical challenges within AI systems. Her research on algorithmic bias and outspoken stance on ethical AI practices continue to spark crucial conversations in the tech industry.

As head of Google AI, Dean oversees significant AI research and applications. His work on large-scale machine learning systems and neural networks has been pivotal in advancing AI capabilities across natural language processing and healthcare.

Co-founder of DeepMind and Inflection AI, Suleyman is now CEO of Microsoft AI, leading efforts to embed AI into everyday products. His leadership at Microsoft AI underscores the industry's shift towards mass-market, productivity-driven AI applications.