New policy brief: Does labeling AI content affect its persuasiveness? Scholars evaluate the impact of authorship labels on how people perceive AI-written policy messages. https://
hai.stanford.edu/policy/labelin
g-ai-generated-content-may-not-change-its-persuasiveness
…
@stanfordhai
-
AI Content Labels Impact on Message Persuasiveness Study
By
–
-
AI Alignment: Ontological Assumptions Shape Chatbot Worldviews
By
–
A new study argues that AI alignment is not just about human values, but a deeper exploration of ontological assumptions built into system architectures. Here, scholars make the case for considering ontology in AI design: https://
hai.stanford.edu/news/when-ai-i
magines-a-tree-how-your-chatbots-worldview-shapes-your-thinking
… -
AI’s Impact on Industry and Work: Stanford Fellow Insights
By
–
At a #G20SouthAfrica side event, @StanfordHAI Senior Fellow Susan Athey spoke about AI's impact on industry and work. Here, she offered concrete insights into the technology to provide a much sharper vision of the future:
-
AI Index 2025 Report Reveals Shifts in Talent Investment Regulation
By
–
Want to understand AI's real impact? Last week, @StanfordHAI Executive Director @russellwald presented key insights from the #AIIndex2025 Report at @FortuneMagazine
's #BrainstormAI, revealing surprising shifts in talent, investment, and regulation: http://
bit.ly/4lktPYZ -
AI Simulates Human Data for Large-Scale Social Science Research
By
–
Social science research can be time-consuming, expensive, and hard to replicate. But with AI, scientists can now simulate human data and run studies at scale. Does it actually work?
-
White House AI Plan Prioritizes Market-Driven Leadership and Infrastructure
By
–
The White House’s AI Action Plan lays out a market-driven vision for U.S. AI leadership — prioritizing infrastructure, open innovation, technical evals while limiting oversight. HAI scholars assess impacts on public sector, governance, workforce, and more.
-
Stanford HAI Director Discusses AI Competition and U.S. Regulation
By
–
@StanfordHAI Executive Director @russellwald opened @Reuters Momentum AI San Jose 2025, joining Reuter’s @JLDastin to discuss the current state of AI, big-dollar competition for talent, the U.S. approach to regulation, and more. #ReutersMomentum
-
What Workers Want From AI: Stanford Research Findings
By
–
What do workers want from AI? Researchers from @StanfordHAI and @DigEconLab undertook a comprehensive study involving U.S. workers and AI experts. Here's what they found:
-
Stanford Student Affinity Group AI for Human Advancement
By
–
@Stanford students! Do you have an idea for advancing AI to improve the human condition? Our Student Affinity Group program is an opportunity to build a community of interdisciplinary students who have a shared interest in a topic related to the development or study of
-
AI Safety Failures in Critical Scenarios: Stanford Research
By
–
Why do AI models often fail in safety-critical scenarios? Researchers investigate a statistical phenomenon called “accuracy on the line.” Read about their work on the @StanfordHAI blog: https://
hai.stanford.edu/news/better-be
nchmarks-for-safety-critical-ai-applications
…