Stanford HAI

02 Responsible AI is now a core, measurable dimension of AI progress reflected across all report domains.

03 Kathleen Creel’s work examines ethical questions in AI with a focus on accountability and governance.

04 AI model performance across vision, language, and reasoning tasks improved significantly between 2023 and 2025, with average accuracy gains exceeding 150% on standardized benchmarks.

05 Stanford HAI is closing the digital divide in AI.

06 The AI Fellowship Program connects students with roles in public service to advance responsible AI governance.

07 HAI awarded seed grants in 2019 to support interdisciplinary AI research aligned with its human-centered mission.

08 AI hiring tools can yield racial bias and systemic rejection.

09 Stanford HAI welcomes six distinguished scholars as Senior Fellows.

10 AI Experts Establish the 'North Star' for Domestic Robotics Field

11 Stanford HAI published a report titled 'Ethical Challenges of AI Applications'.

12 AI in health care must be human-centered, responsible, and equitable — designed to augment clinicians and serve all patients.

13 The report emphasizes AI progress and challenges.

14 Public trust in AI for healthcare and education has increased globally since 2022.

15 Artificial intelligence will change hiring.

16 Language Models are Changing AI. We Need to Understand Them

17 AI development must be decolonized to center dignity over dependency.

18 New Research Gives It Real Personality.

19 AI in medicine has entered a phase of measurable impact—not just promise—though adoption remains uneven.

20 Sovereign AI accounts for roughly 14% of Nvidia's revenue, according to a Stanford HAI study.

21 Stanford HAI welcomes AXA to its Industrial Affiliate Program.

22 Explainability is a key direction for AI development.

23 Human-AI collaboration is a crucial area for AI advancement.

24 Artificial intelligence needs to become more meta to achieve transparency, control, and trustworthiness.

25 72% of reviewed AI mental health apps lacked peer-reviewed clinical validation.

26 Stanford HAI welcomes graduate and postdoctoral fellows to advance interdisciplinary AI research with attention to ethics, policy, health, and systems design.

27 The AI framework enables personalized cancer care by integrating genomic, clinical, and imaging data to generate individualized treatment recommendations.

28 Stanford HAI’s dashboard tracks 125+ implementation actions stemming from the AI Executive Order, with 37 overdue as of the reporting date.

29 So-called emergent abilities in large language models are statistical artifacts of evaluation methodology rather than genuine qualitative leaps in capability.

30 The United States and China are the top two countries in AI leadership.

31 We are experiencing an AI 'awakening' — a decisive, irreversible shift in human-AI relationship.

32 The AI Index Report is the definitive global benchmark for AI progress.

33 Foundation Models have the potential to revolutionize AI development and applications.

34 These are the 12 most-watched videos of 2022 from Stanford HAI.

35 Environmental Intelligence is an emerging field applying AI to climate change, sustainability, and environmental health.

36 Stanford HAI trains public-sector officials at every level to build AI governance capacity.

37 AI infers race from medical images, potentially worsening healthcare disparities.

38 Stanford HAI built multidisciplinary conversations around AI and art.

39 Open-weight models aren’t enough. We need truly open source AI models for science and society.

40 The AI Index is the most comprehensive global measure of AI progress.

41 Public trust in AI varies significantly by application domain, with healthcare and scientific research receiving the highest approval and surveillance and autonomous weapons the lowest.