Prof. Fei-Fei Li
Stanford University • USA
Artificial intelligence, computer vision, human-centered AI, responsible technology, and enterprise AI leadership.
Executive-only • Curated admission • Limited seats
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Dates: 27–29 January 2027
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Venue: Singapore
Enterprise AI • Digital Transformation • Governance • Automation • Data Strategy
Advisory Board 8th Executive Congress on Enterprise AI & Digital Transformation
The Advisory Board supports the intellectual direction, executive relevance, and strategic quality of ECEAIDT 2027. It brings together senior perspectives across artificial intelligence, enterprise transformation, data platforms, governance, responsible AI, automation, cybersecurity, and digital leadership.
Theme guidance
Enterprise AI strategy
Responsible AI governance
Executive participation
Prof. Yoshua Bengio
Université de Montréal / Mila • Canada
Deep learning, AI safety, machine learning, responsible AI development, and global AI governance.
Prof. Andrew Ng
Stanford University / DeepLearning.AI • USA
Machine learning, AI education, enterprise AI adoption, applied AI systems, and AI entrepreneurship.
Prof. Stuart Russell
University of California, Berkeley • USA
Artificial intelligence, AI safety, human-compatible AI, machine learning, and responsible AI policy.
Dame Wendy Hall
University of Southampton • United Kingdom
Web science, computer science, AI policy, digital governance, and international technology leadership.
Prof. Kate Crawford
University of Southern California / Microsoft Research • USA
Social implications of AI, AI ethics, data systems, technology policy, labour, environment, and justice.
Dr. Timnit Gebru
Distributed AI Research Institute • USA
AI ethics, algorithmic bias, responsible AI, data justice, and independent AI research leadership.
Prof. Virginia Dignum
Umeå University • Sweden
Responsible artificial intelligence, AI ethics, human-centred AI, governance frameworks, and societal impact.
Prof. Zoubin Ghahramani
University of Cambridge / Google DeepMind • United Kingdom
Machine learning, probabilistic models, AI research leadership, and enterprise-scale intelligent systems.
Dr. Mira Murati
OpenAI • USA
AI systems development, product innovation, enterprise AI deployment, and advanced AI technologies.
Prof. Anima Anandkumar
California Institute of Technology / NVIDIA • USA
AI research, deep learning, scientific AI, enterprise AI infrastructure, and large-scale model systems.
Prof. Daniela Rus
MIT • USA
Robotics, AI systems, automation, intelligent machines, and enterprise-scale autonomous technologies.
Interested in joining the Advisory Board?
Advisory Board participation is by invitation and subject to review. Senior leaders, academics, and executives with expertise in enterprise AI, digital transformation, data governance, automation, cybersecurity, and responsible technology may express interest.