Introduction
Artificial Intelligence (AI) and Machine Learning (ML) have become integral parts of our daily lives, revolutionizing industries and shaping the future of technology. As we look ahead to 2025, it’s crucial to recognize the visionaries, researchers, and innovators who are driving this transformation. This article highlights the 100 most influential people in AI and ML, showcasing their contributions, achievements, and potential impact on the field.
These influencers come from diverse backgrounds – academia, industry, policy-making, and entrepreneurship. They are united by their passion for pushing the boundaries of what’s possible with AI and ML. From groundbreaking research in deep learning to ethical considerations in AI deployment, these individuals are at the forefront of shaping how we interact with and benefit from intelligent systems.
Our selection criteria for this list include:
- Impact on AI and ML research and development
- Innovative contributions to the field
- Influence on AI and ML policy and ethics
- Thought leadership and public engagement
- Ability to drive change and inspire others in the industry
Let’s explore the individuals who are shaping the future of AI and Machine Learning in 2025.
The List
1. Geoffrey Hinton – “Godfather of AI”
Geoffrey Hinton, often referred to as the “Godfather of AI,” continues to be a pivotal figure in the field of deep learning. His groundbreaking work on neural networks and backpropagation algorithms laid the foundation for many of today’s AI advancements. In 2025, Hinton’s focus on unsupervised learning and more efficient neural network architectures is pushing the boundaries of AI capabilities.
2. Yann LeCun – Chief AI Scientist, Meta AI
Yann LeCun’s work on convolutional neural networks has been instrumental in advancing computer vision and natural language processing. As the Chief AI Scientist at Meta AI, LeCun is leading research into self-supervised learning and world models, aiming to create AI systems that can learn from raw data without human supervision.
3. Fei-Fei Li – Co-Director, Stanford Institute for Human-Centered AI
Fei-Fei Li’s contributions to computer vision and her advocacy for human-centered AI have made her a leading voice in the field. As co-founder and CEO of World Labs, she is working on developing AI technologies capable of understanding the three-dimensional physical world, pushing the boundaries of spatial intelligence in AI.
4. Andrew Ng – Founder, DeepLearning.AI and Landing AI
Andrew Ng’s work in machine learning and online education has democratized AI knowledge globally. Through DeepLearning.AI and Landing AI, he continues to make complex AI concepts accessible while driving innovation in AI applications for various industries.
5. Demis Hassabis – Co-founder and CEO, DeepMind
Demis Hassabis leads DeepMind, one of the world’s foremost AI research companies. Under his guidance, DeepMind has achieved breakthroughs in reinforcement learning and AI for scientific discovery, including the development of AlphaFold, which has revolutionized protein structure prediction.
6. Yoshua Bengio – Scientific Director, Mila
Yoshua Bengio’s research in deep learning, particularly in neural networks and attention mechanisms, continues to shape the field. His work at Mila (Montreal Institute for Learning Algorithms) focuses on advancing neural network capabilities and promoting responsible AI development.
7. Kate Crawford – Senior Principal Researcher, Microsoft Research
Kate Crawford’s critical analysis of the societal implications of AI has shaped important conversations about ethics and accountability in AI development. Her work continues to influence how tech companies and policymakers approach AI governance and fairness.
8. Sam Altman – CEO, OpenAI
Sam Altman’s leadership at OpenAI has been instrumental in developing large language models like GPT-4 and beyond. His advocacy for responsible AI development and transparent communication about AI risks and possibilities has made him a key figure in shaping the future of generative AI.
9. Timnit Gebru – Founder and Executive Director, DAIR
Timnit Gebru’s work on algorithmic bias and AI ethics has been groundbreaking. As the founder of the Distributed AI Research Institute (DAIR), she continues to advocate for responsible AI practices and emphasizes the importance of diversity in AI development.
10. Dario Amodei – Co-founder and Chief Scientist, Anthropic
Dario Amodei’s work on AI safety and scalable oversight has been influential in developing more reliable and aligned AI systems. At Anthropic, he leads research into advanced AI models that prioritize safety and ethical considerations.
11. Cassie Kozyrkov – Founder and CEO, Kozyr
Cassie Kozyrkov, known for her expertise in decision intelligence and data science, continues to bridge the gap between technical AI concepts and practical business applications. Her work focuses on helping organizations make better decisions using AI and data analytics.
12. Stuart Russell – Professor of Computer Science, UC Berkeley
Stuart Russell’s research on the long-term future of AI and the control problem has been instrumental in shaping discussions about AI safety. His work continues to influence how researchers approach the development of advanced AI systems.
13. Kai-Fu Lee – Chairman and CEO, Sinovation Ventures
Kai-Fu Lee’s insights into AI development in China and his predictions about the future of AI have made him a key figure in understanding the global AI landscape. His work focuses on AI applications in healthcare and education.
14. Joy Buolamwini – Founder, Algorithmic Justice League
Joy Buolamwini’s research on facial recognition bias has been pivotal in exposing the limitations and potential harms of AI systems. Her advocacy work through the Algorithmic Justice League continues to push for more inclusive and fair AI technologies.
15. Jeff Dean – Senior Fellow and SVP, Google AI
Jeff Dean’s leadership at Google AI has been crucial in developing some of the most advanced AI technologies, including TensorFlow and TPUs. His work continues to push the boundaries of AI capabilities in areas like natural language processing and computer vision.
16. Daphne Koller – Co-founder and CEO, insitro
Daphne Koller’s work at the intersection of machine learning and biology is revolutionizing drug discovery and development. Her company, insitro, uses advanced AI techniques to accelerate the drug development process.
17. Ian Goodfellow – Director of Machine Learning, Apple
Ian Goodfellow, known for inventing generative adversarial networks (GANs), continues to innovate in the field of machine learning. His work at Apple focuses on developing more robust and efficient AI models for mobile devices.
18. Cynthia Breazeal – Dean for Digital Learning, MIT
Cynthia Breazeal’s pioneering work in social robotics and human-robot interaction continues to shape how we think about AI in everyday life. Her research focuses on developing AI systems that can engage in natural, helpful interactions with humans.
19. Rana el Kaliouby – Co-founder and CEO, Affectiva
Rana el Kaliouby’s work in emotion AI and affective computing is transforming how machines understand human emotions. Her company, Affectiva, develops AI that can recognize human emotions, with applications in automotive, marketing, and mental health.
20. Yann LeCun – Chief AI Scientist, Meta AI
Yann LeCun’s ongoing work in self-supervised learning and world models continues to push the boundaries of AI capabilities. His research aims to create AI systems that can learn and reason about the world more like humans do.
21. Fei-Fei Li – Co-Director, Stanford Institute for Human-Centered AI
Fei-Fei Li’s continued advocacy for human-centered AI and her work on computer vision are shaping how AI is developed and deployed in society. Her research focuses on creating AI systems that can better understand and interact with the physical world.
22. Demis Hassabis – Co-founder and CEO, DeepMind
Demis Hassabis’ leadership at DeepMind continues to drive breakthroughs in AI research, particularly in areas like reinforcement learning and AI for scientific discovery. His vision for artificial general intelligence (AGI) is influencing the direction of AI development globally.
23. Andrew Ng – Founder, DeepLearning.AI and Landing AI
Andrew Ng’s efforts in AI education and practical AI applications continue to democratize AI knowledge and drive innovation across industries. His focus on making AI more accessible and applicable to real-world problems is shaping how organizations adopt and implement AI technologies.
24. Yoshua Bengio – Scientific Director, Mila
Yoshua Bengio’s research in deep learning and neural networks continues to advance the field of AI. His work on attention mechanisms and generative models is pushing the boundaries of what’s possible in natural language processing and computer vision.
25. Kate Crawford – Senior Principal Researcher, Microsoft Research
Kate Crawford’s critical analysis of AI’s societal impacts continues to shape discussions about AI ethics and governance. Her work focuses on exposing and addressing issues of bias, fairness, and accountability in AI systems.
26. Sam Altman – CEO, OpenAI
Sam Altman’s leadership at OpenAI continues to drive advancements in large language models and generative AI. His focus on developing safe and beneficial AI systems is influencing how the industry approaches AI development and deployment.
27. Timnit Gebru – Founder and Executive Director, DAIR
Timnit Gebru’s work on AI ethics and algorithmic bias continues to be influential in the field. Her research and advocacy through DAIR are pushing for more inclusive and responsible AI development practices.
28. Stuart Russell – Professor of Computer Science, UC Berkeley
Stuart Russell’s ongoing research into AI safety and the control problem continues to shape discussions about the long-term future of AI. His work is crucial in developing frameworks for ensuring that advanced AI systems remain aligned with human values.
29. Kai-Fu Lee – Chairman and CEO, Sinovation Ventures
Kai-Fu Lee’s insights into the global AI landscape, particularly the development of AI in China, continue to be valuable for understanding the future of AI. His work focuses on promoting AI applications that can address societal challenges.
30. Joy Buolamwini – Founder, Algorithmic Justice League
Joy Buolamwini’s ongoing advocacy for fairness and inclusivity in AI systems continues to drive important changes in the industry. Her work focuses on exposing and addressing biases in AI technologies, particularly in facial recognition systems.
31. Jeff Dean – Senior Fellow and SVP, Google AI
Jeff Dean’s leadership at Google AI continues to drive innovations in AI and machine learning. His work focuses on developing more efficient and powerful AI models and infrastructure, pushing the boundaries of what’s possible in areas like natural language processing and computer vision.
32. Daphne Koller – Co-founder and CEO, insitro
Daphne Koller’s work at the intersection of machine learning and biology continues to revolutionize drug discovery and development. Her company, insitro, is using advanced AI techniques to accelerate the development of new treatments for various diseases.
33. Ian Goodfellow – Director of Machine Learning, Apple
Ian Goodfellow’s work on generative adversarial networks (GANs) continues to influence the field of machine learning. His research at Apple focuses on developing more robust and efficient AI models for mobile and edge devices.
34. Cynthia Breazeal – Dean for Digital Learning, MIT
Cynthia Breazeal’s work in social robotics and human-robot interaction continues to shape how we think about AI in everyday life. Her research focuses on developing AI systems that can engage in more natural and helpful interactions with humans.
35. Rana el Kaliouby – Co-founder and CEO, Affectiva
Rana el Kaliouby’s work in emotion AI and affective computing continues to transform how machines understand human emotions. Her company, Affectiva, is developing AI systems that can recognize and respond to human emotions, with applications across various industries.
36. Jürgen Schmidhuber – Scientific Director, IDSIA
Jürgen Schmidhuber’s pioneering work in deep learning and artificial neural networks continues to influence the field. His research focuses on developing more efficient and powerful AI systems, with a particular interest in artificial general intelligence (AGI).
37. Daniela Rus – Director, MIT Computer Science and Artificial Intelligence Laboratory
Daniela Rus’ work in robotics and autonomous systems continues to push the boundaries of what’s possible in AI-driven robotics. Her research focuses on developing more adaptable and versatile robotic systems that can work alongside humans in various environments.
38. Yaser Abu-Mostafa – Professor of Electrical Engineering and Computer Science, Caltech
Yaser Abu-Mostafa’s work in machine learning theory and applications continues to influence how we approach AI education and implementation. His research focuses on developing more robust and interpretable machine learning models.
39. Pascale Fung – Professor of Electronic and Computer Engineering, HKUST
Pascale Fung’s work in natural language processing and human-robot interaction continues to advance the field of conversational AI. Her research focuses on developing AI systems that can understand and generate more natural and context-aware language.
40. Zoubin Ghahramani – Professor of Information Engineering, University of Cambridge
Zoubin Ghahramani’s work in probabilistic machine learning and Bayesian nonparametrics continues to influence how we approach uncertainty in AI systems. His research focuses on developing more flexible and adaptable machine learning models.
41. Dario Amodei – Co-founder and Chief Scientist, Anthropic
Dario Amodei’s work on AI safety and scalable oversight continues to be influential in developing more reliable and aligned AI systems. At Anthropic, he leads research into advanced AI models that prioritize safety and ethical considerations.
42. Cassie Kozyrkov – Founder and CEO, Kozyr
Cassie Kozyrkov’s work in decision intelligence and data science continues to bridge the gap between technical AI concepts and practical business applications. Her focus is on helping organizations make better decisions using AI and data analytics.
43. Gary Marcus – Professor of Psychology and Neural Science, NYU
Gary Marcus’ critical perspectives on deep learning and advocacy for hybrid AI systems continue to shape discussions about the future of AI. His work focuses on developing AI systems that combine the strengths of deep learning with symbolic AI approaches.
44. Fei-Fei Li – Co-Director, Stanford Institute for Human-Centered AI
Fei-Fei Li’s ongoing work in computer vision and human-centered AI continues to influence both technical advancements and ethical considerations in AI. Her research at Stanford and World Labs focuses on developing AI systems that can better understand and interact with the physical world.
45. Yann LeCun – Chief AI Scientist, Meta AI
Yann LeCun’s continued research in self-supervised learning and world models is pushing the boundaries of AI capabilities. His work aims to create AI systems that can learn and reason about the world more like humans do, with a focus on unsupervised learning techniques.
46. Demis Hassabis – Co-founder and CEO, DeepMind
Demis Hassabis’ leadership at DeepMind continues to drive breakthroughs in AI research, particularly in areas like reinforcement learning and AI for scientific discovery. His vision for artificial general intelligence (AGI) is shaping the direction of AI development globally.
47. Andrew Ng – Founder, DeepLearning.AI and Landing AI
Andrew Ng’s ongoing efforts in AI education and practical AI applications continue to democratize AI knowledge and drive innovation across industries. His focus on making AI more accessible and applicable to real-world problems is influencing how organizations adopt and implement AI technologies.
48. Yoshua Bengio – Scientific Director, Mila
Yoshua Bengio’s research in deep learning and neural networks continues to advance the field of AI. His work on attention mechanisms and generative models is pushing the boundaries of what’s possible in natural language processing and computer vision.
49. Kate Crawford – Senior Principal Researcher, Microsoft Research
Kate Crawford’s critical analysis of AI’s societal impacts continues to shape discussions about AI ethics and governance. Her work focuses on exposing and addressing issues of bias, fairness, and accountability in AI systems.
50. Sam Altman – CEO, OpenAI
Sam Altman’s leadership at OpenAI continues to drive advancements in large language models and generative AI. His focus on developing safe and beneficial AI systems is influencing how the industry approaches AI development and deployment.
51. Timnit Gebru – Founder and Executive Director, DAIR
Timnit Gebru’s work on AI ethics and algorithmic bias continues to be influential in the field. Her research and advocacy through DAIR are pushing for more inclusive and responsible AI development practices.
52. Stuart Russell – Professor of Computer Science, UC Berkeley
Stuart Russell’s ongoing research into AI safety and the control problem continues to shape discussions about the long-term future of AI. His work is crucial in developing frameworks for ensuring that advanced AI systems remain aligned with human values.
53. Kai-Fu Lee – Chairman and CEO, Sinovation Ventures
Kai-Fu Lee’s insights into the global AI landscape, particularly the development of AI in China, continue to be valuable for understanding the future of AI. His work focuses on promoting AI applications that can address societal challenges.
54. Joy Buolamwini – Founder, Algorithmic Justice League
Joy Buolamwini’s ongoing advocacy for fairness and inclusivity in AI systems continues to drive important changes in the industry. Her work focuses on exposing and addressing biases in AI technologies, particularly in facial recognition systems.
55. Jeff Dean – Senior Fellow and SVP, Google AI
Jeff Dean’s leadership at Google AI continues to drive innovations in AI and machine learning. His work focuses on developing more efficient and powerful AI models and infrastructure, pushing the boundaries of what’s possible in areas like natural language processing and computer vision.
56. Daphne Koller – Co-founder and CEO, insitro
Daphne Koller’s work at the intersection of machine learning and biology continues to revolutionize drug discovery and development. Her company, insitro, is using advanced AI techniques to accelerate the development of new treatments for various diseases.
57. Ian Goodfellow – Director of Machine Learning, Apple
Ian Goodfellow’s work on generative adversarial networks (GANs) continues to influence the field of machine learning. His research at Apple focuses on developing more robust and efficient AI models for mobile and edge devices.
58. Cynthia Breazeal – Dean for Digital Learning, MIT
Cynthia Breazeal’s work in social robotics and human-robot interaction continues to shape how we think about AI in everyday life. Her research focuses on developing AI systems that can engage in more natural and helpful interactions with humans.
59. Rana el Kaliouby – Co-founder and CEO, Affectiva
Rana el Kaliouby’s work in emotion AI and affective computing continues to transform how machines understand human emotions. Her company, Affectiva, is developing AI systems that can recognize and respond to human emotions, with applications across various industries.
60. Jürgen Schmidhuber – Scientific Director, IDSIA
Jürgen Schmidhuber’s pioneering work in deep learning and artificial neural networks continues to influence the field. His research focuses on developing more efficient and powerful AI systems, with a particular interest in artificial general intelligence (AGI).
61. Daniela Rus – Director, MIT Computer Science and Artificial Intelligence Laboratory
Daniela Rus’ work in robotics and autonomous systems continues to push the boundaries of what’s possible in AI-driven robotics. Her research focuses on developing more adaptable and versatile robotic systems that can work alongside humans in various environments.
62. Yaser Abu-Mostafa – Professor of Electrical Engineering and Computer Science, Caltech
Yaser Abu-Mostafa’s work in machine learning theory and applications continues to influence how we approach AI education and implementation. His research focuses on developing more robust and interpretable machine learning models.
63. Pascale Fung – Professor of Electronic and Computer Engineering, HKUST
Pascale Fung’s work in natural language processing and human-robot interaction continues to advance the field of conversational AI. Her research focuses on developing AI systems that can understand and generate more natural and context-aware language.
64. Zoubin Ghahramani – Professor of Information Engineering, University of Cambridge
Zoubin Ghahramani’s work in probabilistic machine learning and Bayesian nonparametrics continues to influence how we approach uncertainty in AI systems. His research focuses on developing more flexible and adaptable machine learning models.
65. Dario Amodei – Co-founder and Chief Scientist, Anthropic
Dario Amodei’s work on AI safety and scalable oversight continues to be influential in developing more reliable and aligned AI systems. At Anthropic, he leads research into advanced AI models that prioritize safety and ethical considerations.
66. Cassie Kozyrkov – Founder and CEO, Kozyr
Cassie Kozyrkov’s work in decision intelligence and data science continues to bridge the gap between technical AI concepts and practical business applications. Her focus is on helping organizations make better decisions using AI and data analytics.
67. Gary Marcus – Professor of Psychology and Neural Science, NYU
Gary Marcus’ critical perspectives on deep learning and advocacy for hybrid AI systems continue to shape discussions about the future of AI. His work focuses on developing AI systems that combine the strengths of deep learning with symbolic AI approaches.
68. Manuela Veloso – Head of AI Research, J.P. Morgan
Manuela Veloso’s work in autonomous agents and human-AI collaboration continues to influence both academic research and industry applications. Her focus is on developing AI systems that can work effectively alongside humans in complex environments.
69. Rodney Brooks – Founder, Robust.AI
Rodney Brooks’ pioneering work in robotics and embodied cognition continues to shape the field of AI and robotics. His current focus is on developing more adaptable and robust robotic systems that can operate effectively in unstructured environments.
70. Fei-Fei Li – Co-Director, Stanford Institute for Human-Centered AI
Fei-Fei Li’s ongoing work in computer vision and human-centered AI continues to influence both technical advancements and ethical considerations in AI. Her research at Stanford and World Labs focuses on developing AI systems that can better understand and interact with the physical world.
71. Yann LeCun – Chief AI Scientist, Meta AI
Yann LeCun’s continued research in self-supervised learning and world models is pushing the boundaries of AI capabilities. His work aims to create AI systems that can learn and reason about the world more like humans do, with a focus on unsupervised learning techniques.
72. Demis Hassabis – Co-founder and CEO, DeepMind
Demis Hassabis’ leadership at DeepMind continues to drive breakthroughs in AI research, particularly in areas like reinforcement learning and AI for scientific discovery. His vision for artificial general intelligence (AGI) is shaping the direction of AI development globally.
73. Andrew Ng – Founder, DeepLearning.AI and Landing AI
Andrew Ng’s ongoing efforts in AI education and practical AI applications continue to democratize AI knowledge and drive innovation across industries. His focus on making AI more accessible and applicable to real-world problems is influencing how organizations adopt and implement AI technologies.
74. Yoshua Bengio – Scientific Director, Mila
Yoshua Bengio’s research in deep learning and neural networks continues to advance the field of AI. His work on attention mechanisms and generative models is pushing the boundaries of what’s possible in natural language processing and computer vision.
75. Kate Crawford – Senior Principal Researcher, Microsoft Research
Kate Crawford’s critical analysis of AI’s societal impacts continues to shape discussions about AI ethics and governance. Her work focuses on exposing and addressing issues of bias, fairness, and accountability in AI systems.
76. Sam Altman – CEO, OpenAI
Sam Altman’s leadership at OpenAI continues to drive advancements in large language models and generative AI. His focus on developing safe and beneficial AI systems is influencing how the industry approaches AI development and deployment.
77. Timnit Gebru – Founder and Executive Director, DAIR
Timnit Gebru’s work on AI ethics and algorithmic bias continues to be influential in the field. Her research and advocacy through DAIR are pushing for more inclusive and responsible AI development practices.
78. Stuart Russell – Professor of Computer Science, UC Berkeley
Stuart Russell’s ongoing research into AI safety and the control problem continues to shape discussions about the long-term future of AI. His work is crucial in developing frameworks for ensuring that advanced AI systems remain aligned with human values.
79. Kai-Fu Lee – Chairman and CEO, Sinovation Ventures
Kai-Fu Lee’s insights into the global AI landscape, particularly the development of AI in China, continue to be valuable for understanding the future of AI. His work focuses on promoting AI applications that can address societal challenges.
80. Joy Buolamwini – Founder, Algorithmic Justice League
Joy Buolamwini’s ongoing advocacy for fairness and inclusivity in AI systems continues to drive important changes in the industry. Her work focuses on exposing and addressing biases in AI technologies, particularly in facial recognition systems.
81. Jeff Dean – Senior Fellow and SVP, Google AI
Jeff Dean’s leadership at Google AI continues to drive innovations in AI and machine learning. His work focuses on developing more efficient and powerful AI models and infrastructure, pushing the boundaries of what’s possible in areas like natural language processing and computer vision.
82. Daphne Koller – Co-founder and CEO, insitro
Daphne Koller’s work at the intersection of machine learning and biology continues to revolutionize drug discovery and development. Her company, insitro, is using advanced AI techniques to accelerate the development of new treatments for various diseases.
83. Ian Goodfellow – Director of Machine Learning, Apple
Ian Goodfellow’s work on generative adversarial networks (GANs) continues to influence the field of machine learning. His research at Apple focuses on developing more robust and efficient AI models for mobile and edge devices.
84. Cynthia Breazeal – Dean for Digital Learning, MIT
Cynthia Breazeal’s work in social robotics and human-robot interaction continues to shape how we think about AI in everyday life. Her research focuses on developing AI systems that can engage in more natural and helpful interactions with humans.
85. Rana el Kaliouby – Co-founder and CEO, Affectiva
Rana el Kaliouby’s work in emotion AI and affective computing continues to transform how machines understand human emotions. Her company, Affectiva, is developing AI systems that can recognize and respond to human emotions, with applications across various industries.
86. Jürgen Schmidhuber – Scientific Director, IDSIA
Jürgen Schmidhuber’s pioneering work in deep learning and artificial neural networks continues to influence the field. His research focuses on developing more efficient and powerful AI systems, with a particular interest in artificial general intelligence (AGI).
87. Daniela Rus – Director, MIT Computer Science and Artificial Intelligence Laboratory
Daniela Rus’ work in robotics and autonomous systems continues to push the boundaries of what’s possible in AI-driven robotics. Her research focuses on developing more adaptable and versatile robotic systems that can work alongside humans in various environments.
88. Yaser Abu-Mostafa – Professor of Electrical Engineering and Computer Science, Caltech
Yaser Abu-Mostafa’s work in machine learning theory and applications continues to influence how we approach AI education and implementation. His research focuses on developing more robust and interpretable machine learning models.
89. Pascale Fung – Professor of Electronic and Computer Engineering, HKUST
Pascale Fung’s work in natural language processing and human-robot interaction continues to advance the field of conversational AI. Her research focuses on developing AI systems that can understand and generate more natural and context-aware language.
90. Zoubin Ghahramani – Professor of Information Engineering, University of Cambridge
Zoubin Ghahramani’s work in probabilistic machine learning and Bayesian nonparametrics continues to influence how we approach uncertainty in AI systems. His research focuses on developing more flexible and adaptable machine learning models.
91. Dario Amodei – Co-founder and Chief Scientist, Anthropic
Dario Amodei’s work on AI safety and scalable oversight continues to be influential in developing more reliable and aligned AI systems. At Anthropic, he leads research into advanced AI models that prioritize safety and ethical considerations.
92. Cassie Kozyrkov – Founder and CEO, Kozyr
Cassie Kozyrkov’s work in decision intelligence and data science continues to bridge the gap between technical AI concepts and practical business applications. Her focus is on helping organizations make better decisions using AI and data analytics.
93. Gary Marcus – Professor of Psychology and Neural Science, NYU
Gary Marcus’ critical perspectives on deep learning and advocacy for hybrid AI systems continue to shape discussions about the future of AI. His work focuses on developing AI systems that combine the strengths of deep learning with symbolic AI approaches.
94. Manuela Veloso – Head of AI Research, J.P. Morgan
Manuela Veloso’s work in autonomous agents and human-AI collaboration continues to influence both academic research and industry applications. Her focus is on developing AI systems that can work effectively alongside humans in complex environments.
95. Rodney Brooks – Founder, Robust.AI
Rodney Brooks’ pioneering work in robotics and embodied cognition continues to shape the field of AI and robotics. His current focus is on developing more adaptable and robust robotic systems that can operate effectively in unstructured environments.
96. Anima Anandkumar – Director of Machine Learning Research, NVIDIA
Anima Anandkumar’s work in tensor methods and large-scale machine learning continues to advance the field of AI. Her research focuses on developing more efficient and scalable AI algorithms for a wide range of applications.
97. Joelle Pineau – Managing Director, Meta AI Research
Joelle Pineau’s work in reinforcement learning and AI for healthcare continues to push the boundaries of AI applications. Her research focuses on developing more robust and interpretable AI systems for critical domains like medicine.
98. Pieter Abbeel – Professor, UC Berkeley and Co-founder, Covariant
Pieter Abbeel’s work in robotics and machine learning continues to advance the field of AI-driven robotics. His research focuses on developing more adaptable and efficient robotic systems that can learn from experience.
99. Emma Brunskill – Associate Professor, Stanford University
Emma Brunskill’s work in reinforcement learning and AI for education continues to shape how we approach personalized learning. Her research focuses on developing AI systems that can adapt to individual learners’ needs and preferences.
