Stanford launches policy practicum to chart a course toward the democratization of AI.
Stanford launches policy practicum to chart a course toward the democratization of AI.
At HAI’s upcoming conference, educators, health care experts, and artists explore their AI-enabled future.
At HAI’s upcoming conference, educators, health care experts, and artists explore their AI-enabled future.
During her HAI Fellowship, Avila plans to prototype inclusive and gender-responsive AI systems.
During her HAI Fellowship, Avila plans to prototype inclusive and gender-responsive AI systems.
Widely used virus tracking data undercounts older people and people of color. Scholars propose a solution to this demographic bias.
Widely used virus tracking data undercounts older people and people of color. Scholars propose a solution to this demographic bias.
How Large Language Models Will Transform Science, Society, and AI
Scholars in computer science, linguistics, and philosophy explore the pains and promises of GPT-3.
Scholars in computer science, linguistics, and philosophy explore the pains and promises of GPT-3.
Sociologist and former journalist Mutale Nkonde warns that the AI behind much of today’s social media is inherently biased — but it’s not too late to do something about it.
Sociologist and former journalist Mutale Nkonde warns that the AI behind much of today’s social media is inherently biased — but it’s not too late to do something about it.
In a new book, scholars across multiple disciplines reflect on how digital technologies intersect with democratic institutions, and offer a broad agenda for future research.
In a new book, scholars across multiple disciplines reflect on how digital technologies intersect with democratic institutions, and offer a broad agenda for future research.
HAI Privacy and Data Policy Fellow Jen King explains “dark patterns” and what to expect in future legislation
HAI Privacy and Data Policy Fellow Jen King explains “dark patterns” and what to expect in future legislation
Stanford scholars propose a fair way to quantify how much individual datasets contribute to AI model performance and companies’ bottom lines.
Stanford scholars propose a fair way to quantify how much individual datasets contribute to AI model performance and companies’ bottom lines.
The new program will help company leaders understand how to leverage their data and gain a competitive advantage.
The new program will help company leaders understand how to leverage their data and gain a competitive advantage.