ai index report 2026
This section of the AI Index 2026 Annual Report presents a data‑driven overview of AI’s impact across medicine, education, policy, and public opinion. In medicine, the report quantifies AI‑driven protein research publications using detailed PubMed queries for function prediction, structure prediction, drug interactions, and synthetic design, and tracks the number of FDA‑approved AI medical devices. It also describes a systematic literature review (2020‑2025) of patient, family, and public perspectives on clinical AI, outlining search strategies, inclusion criteria, and ethical taxonomy. The education chapter aggregates multiple data sources—Code.org, AP Computer Science, CRA Taulbee Survey, IPEDS, OECD, and others—to map access to computer‑science education, AI‑related degree completions, and global K‑12 AI initiatives. The policy and governance chapter introduces an automated four‑stage LLM‑powered pipeline that crawls G20 legislative sites, classifies AI‑relevant bills, extracts structured fields (sectors, objectives, agencies), and captures verbatim quotes. It also details the methodology for compiling public AI investment data from EU tender databases and U.S. procurement and grant systems, including translation, NLP preprocessing, and AI‑related contract classification using regex, BERTopic, and transformer models. Finally, the public opinion chapter lists major surveys (Ipsos, Pew, etc.) that gauge global attitudes toward AI, summarizing methodological notes and key references. Across all chapters, the report emphasizes transparent data collection, AI‑assisted analysis, and the growing integration of AI across scientific, educational, regulatory, and societal domains.
Topics
AI‑Driven Protein Research Publication Trends
Quantitative counts of AI‑related protein research papers in 2024‑2025, broken down by function prediction, structure prediction, drug interactions, and synthetic protein design using specific PubMed queries.
Automated Global AI Legislation Tracking Pipeline
Four‑stage LLM‑augmented workflow that crawls G20 legislative portals, classifies AI‑relevant bills, extracts structured fields (sectors, objectives, agencies, status), and captures supporting quotes.
Public Investment and Procurement Analysis for AI (EU & US)
Methodology for extracting AI‑related contracts and grants from EU TED, UK procurement portals, and U.S. FPDS/USAspending, including translation, NLP preprocessing, regex and transformer‑based classification, and handling of de‑obligations.
Global Public Opinion Surveys on AI
Overview of major public‑opinion surveys (Ipsos, Pew, etc.) covering attitudes, trust, and perceived impact of AI worldwide, with references to survey reports and key findings.