Fei Fei Li | Director of Stanford's Denning Institute for AI | Global AI Summit 2025 | Paris

AI Ethics and Governance Expert

The evolution of AI technologies necessitates an ethical framework to guide their responsible deployment. With powerful systems like neural networks shaping various sectors, ensuring dignity, agency, and community is paramount. Policymakers must engage with empirical data to craft regulations that foster sustainability and inclusivity in AI development, avoiding the pitfalls of sensationalism in public discourse. Establishing a robust governance system will promote beneficial outcomes while addressing the inherent challenges of rapid technological advancements.

AI Data Scientist Expert

The explosion of large language models and neural networks exemplifies the profound impact of data on AI capabilities. This represents a pivotal shift in how AI systems learn and operate, leveraging vast datasets for enhanced performance. The role of companies like Nvidia, advancing GPU technologies, cannot be understated—they facilitate the necessary computing power. There is a critical need for ongoing research that bridges these developments with business applications, ensuring that innovations resonate with real-world challenges and user needs.

Perceptual Algorithms

Their study is crucial as it informs how AI processes data from the environment.

Neural Networks

These networks have undergone significant advancements leading to the development of deep learning.

Large Language Models

These models have transformed natural language processing, enabling AI to engage with users more effectively.

Nvidia

Nvidia's hardware has been instrumental in enabling deep learning and large-scale AI research.

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Stanford University

Stanford's collaborations foster innovative AI technologies and thought leadership in the field.

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