#Report
5 bookmarks tagged with "Report"
across 2 categories: AI & Public Opinion, AI & Business
-  The AI Index Report 2025 - Chapter 8: Public Opinionhai.stanford.edu โข Oct 17, 2025 โข AI & Public Opinion Stanford HAI's annual comprehensive analysis of global AI public opinion trends. Tracks sentiment across countries, demographics, and time. Documents increasing concerns about AI's societal impact, trust deficits in tech companies, and growing support for regulation. Provides essential benchmarking data for understanding public attitudes toward AI. resources:
-  The AI Index Report 2023hai.stanford.edu โข Aug 4, 2025 โข AI & Public Opinion Stanford HAI's comprehensive annual analysis tracking AI's progress and impact. Key findings include significant advances in AI capabilities, growing industry investment, increasing regulatory attention, and mixed public sentiment about AI's societal effects. [stanford] [ai] [public opinion] [2023] [report] [industry] [investment] [research] [regulation] [hai]resources:
-  The AI Index Report 2025aiindex.stanford.edu โข Aug 4, 2025 โข AI & Public Opinion Stanford HAI's annual comprehensive analysis of AI's global impact. Tracks trends in research, development, technical performance, ethics, policy, education, public opinion, and economic impact. Builds on 2024 findings showing industry dominance in model development and growing public concerns about AI's societal effects. [stanford] [ai] [public opinion] [2025] [report] [industry] [investment] [research] [regulation] [hai]resources:
-  The State of AI 2024 - McKinsey Global Surveymckinsey.com โข Aug 3, 2025 โข AI & Business 72% of organizations now using AI (up from 50-55% in 2023). 65% regularly using GenAI, double from 10 months prior. Marketing/sales adoption doubled. 44% report accuracy issues as top risk. High performers attribute 11%+ of earnings to AI. Only 20% see enterprise-wide EBIT impact. 
-  The AI Index Report 2024aiindex.stanford.edu โข Aug 3, 2025 โข AI & Public Opinion 500-page comprehensive analysis across 9 chapters. Key findings: Industry produced 51 notable models vs academia's 15. Training costs exceeded $100M for GPT-4/Gemini. 8x surge in GenAI investment since 2022. US leads with 61 models. 52% Americans more concerned than excited about AI (up from 38%). resources: