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The State of AI: Named Syntheses & Measurement Series
When someone asks what the current state of artificial intelligence is, a small number of recurring reports and measurement series answer it. This page names them, says what each covers and how often it appears, and links to the publisher — so you can go to the source rather than to a summary of it.
The AI Center does not re-originate these syntheses or summarise their conclusions. It attributes them and points to them. Every entry names its publisher, links to that publisher's own page, and records when it was verified.
These are other organisations' syntheses, not ours. Where a report reaches a conclusion, that conclusion belongs to its authors and should be read in their words at the link — this page describes what each series covers, never what it concludes.
Cross-cutting syntheses
Recurring reports that cover the field as a whole rather than one axis of it.
International AI Safety Report 2026
The second edition, dated 3 February 2026, of a synthesis of scientific research on the capabilities of general-purpose AI systems, the risks they pose and how those risks can be managed, structured as Background on general-purpose AI, Risks, and Risk Management.
AI Index Report (series)
Stanford HAI's annually published compilation of measurements of AI, covering research and development, technical performance, responsible AI, the economy, science and medicine, education, policy and governance, and public opinion, published with its underlying data.
Preliminary Report of the Independent International Scientific Panel on AI
The panel's first report, dated 1 July 2026, assessing AI capabilities, opportunities and risks across seven domains, published ahead of the panel's annual report intended to inform the second Global Dialogue on AI Governance in May 2027.
Key Questions on Energy and AI
An IEA report dated 16 April 2026 examining how the links between AI and the energy sector have evolved, covering electricity demand, grid and supply-chain response, and implications for energy security, affordability and sustainability.
Recurring measurement series, benchmarks and official statistics
Measurement series and benchmarks published on a repeating basis.
Trends in Artificial Intelligence (Epoch AI)
A dashboard maintained by Epoch AI charting measured trends in frontier AI development — model capabilities, training compute, hardware performance and investment — drawn from Epoch AI's own databases.
HELM — Holistic Evaluation of Language Models
An evaluation framework and set of public leaderboards that runs foundation models against standardised scenarios and reports multiple metrics per model, with prompts and per-instance responses published for inspection; the site hosts separate leaderboards for capabilities, safety, audio, vision-language and other tracks.
Arena (formerly LMArena / Chatbot Arena)
A platform that collects blind pairwise human preference votes between anonymised model responses and publishes regularly refreshed leaderboards derived from those votes.
AILuminate (MLCommons)
A versioned benchmark suite from MLCommons that tests general-purpose AI chat systems against a published hazard taxonomy and reports per-system results, with text-to-text assessments in several languages plus jailbreak and text-plus-image evaluations.
MLPerf benchmark suites
A family of standardised machine-learning performance benchmarks published by MLCommons, spanning training and inference across datacentre, edge, client, mobile, storage, tiny and automotive categories, to which organisations submit results that are then published.
Business Trends and Outlook Survey (BTOS)
A U.S. Census Bureau survey of businesses, collected and released every two weeks, that includes questions on whether firms use artificial intelligence in producing goods or services and whether they expect to within six months.
Use of artificial intelligence in enterprises (Eurostat Statistics Explained)
Eurostat's statistical article reporting AI technology use by EU enterprises, based on the EU survey on ICT usage and e-commerce in enterprises carried out by national statistical authorities, broken down by technology type, enterprise size and country.
OECD.AI — Live data
A set of indicator dashboards hosted by the OECD's AI Policy Observatory drawing on named partner data sources to track AI-related research publications, skills and jobs, investment, software development activity, compute, models and datasets, and patents, with country comparisons over time.
Standing observatories and incident registers
Standing observatories and registers that record events as they happen.
AI Incident Database
A publicly searchable index of reported real-world harms and near-harms involving deployed AI systems, compiled from submitted incident reports and updated on a rolling basis.
OECD.AI Policy Observatory
An OECD platform publishing policy data, country AI policy information and analysis on artificial intelligence, and hosting the OECD AI Principles, the Catalogue of Tools & Metrics, an AI Policy Toolkit and the Hiroshima AI Reporting Framework.
AIM: AI Incidents and Hazards Monitor
An OECD monitor, labelled Beta by its publisher, that documents AI incidents and hazards drawn from media coverage and classifies them by dimensions including location, industry, affected stakeholders and type of harm.
UNESCO Global AI Ethics and Governance Observatory
A UNESCO platform, stemming from the 2021 Recommendation on the Ethics of Artificial Intelligence, hosting country profiles, the Readiness Assessment Methodology and Ethical Impact Assessment tools, and an AI Ethics and Governance Lab of research and practice contributions.
How this switchboard is maintained
- Every entry links to the publisher's own page for the series, not to coverage or a summary of it.
- Entries describe what a series covers and, where the publisher states one, how often it appears. Where a cadence is not stated first-party, none is claimed here.
- No findings, rankings or conclusions from these reports are reproduced. They belong to their authors and change between editions.
- Editions supersede one another. Each entry links the series rather than a single edition wherever the publisher maintains a series page, so the link stays current as new editions appear.
- Each entry records the date it was last verified.
Why does the AI Center point to these reports instead of summarising them?
Because summarising a synthesis loses what makes it citable — the authors' own words, their methodology and their caveats. A reader who needs to rely on a finding needs the source, not our paraphrase of it.
The AI Center's role on this axis is to name who publishes recurring state-of-the-field work, say what each covers, and send the reader to the publisher. Where a topic already has a publisher maintaining a cross-source reference, the AI Center links it rather than duplicating it. Where a topic has no such reference — as with AI law across jurisdictions — the AI Center builds one and sources it per claim.
Cite this directory
1BusinessWorld AI Center, "The State of AI: Named Syntheses & Measurement Series." https://1businessworld.com/ai-center/state-of-ai-and-syntheses/ Version as of July 28, 2026.
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