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The Hoover Institution and the Stanford Institute for Human-Centered Artificial Intelligence (HAI) hosting Ensuring America’s Innovation in Artificial Intelligence with Dr. Condoleezza Rice and Dr. Fei-Fei Li.
Sequence data is ubiquitous in economics — job histories in labor economics, diagnosis and treatment sequences in health economics, strategic interactions in game theory. Generative sequence models can learn to predict these sequences well, but their complexity makes it hard to extract interpretable economic insights from their predictions.
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Sequence data is ubiquitous in economics — job histories in labor economics, diagnosis and treatment sequences in health economics, strategic interactions in game theory. Generative sequence models can learn to predict these sequences well, but their complexity makes it hard to extract interpretable economic insights from their predictions.
What does digital inclusion look like in the age of AI? Over 6,000 of the world’s 7,000-plus living languages remain digitally disadvantaged.
What does digital inclusion look like in the age of AI? Over 6,000 of the world’s 7,000-plus living languages remain digitally disadvantaged.
Systems like ChatGPT and Claude assist billions through proactive dialogue—offering unsolicited, task-relevant information. Drawing on Cognitive Load Theory, we study how cognitive load shapes performance in AI assisted knowledge work.
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Systems like ChatGPT and Claude assist billions through proactive dialogue—offering unsolicited, task-relevant information. Drawing on Cognitive Load Theory, we study how cognitive load shapes performance in AI assisted knowledge work.
Artificial Intelligence (AI) has the potential to radically transform every industry and every society. Such profound changes offer great opportunities to improve the human condition for the better, but also pose unprecedented challenges. As this new era arrives, the creators and designers of AI must account for diversity of thought and ensure systems are built to properly reflect what it means to be human. Guiding the future of AI in a responsible way that translates American values of equality, opportunity and individual freedom will be paramount to ensuring our shared dream of creating a better future for all of humanity.
