Artificial Intelligence and Autonomous Systems
The Global Centre for Risk and Innovation (GCRI)
Where Artificial Intelligence and Autonomous Systems gets its data, on what terms, with what quality and with which known gaps.
Fig.How a finding is reviewed before it is published. Design, not a record.
The Artificial Intelligence and Autonomous Systems source register lists the datasets and records the platform draws on, such as Stanford HELM (Holistic Evaluation of Language Models), each with its producer, licence and permitted uses, quality and known gaps. A source is listed only once its terms permit the use described, and data held by agreement is used under those terms and never republished.
For source and data register, in GCRI's spatial-intelligence reading, the map opens on true-colour imagery, night lights and land cover with true colour from NASA GIBS, framed on East Asia; 3 further NASA layers wait in the list.
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NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth
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For source and data register, in GCRI's spatial-intelligence reading, the map opens on true-colour imagery, night lights and land cover with true colour from NASA GIBS, framed on East Asia; 3 further NASA layers wait in the list.Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.
Layers and dates
Who produces the data and how.
Licence, restrictions and permitted uses.
Coverage, resolution, update frequency and known errors.
How the data reached the platform and what was changed.
What is missing and how the gap is handled.
| Source | What it gives | Terms | Used in |
|---|---|---|---|
| AI Incident Database | Reported incidents involving AI systems | Open, licence to check | Agentic systems |
| California DMV autonomous vehicle reports | Collision and disengagement reports from permit holders | Public records | Autonomous physical systems |
| Canada Directive on Automated Decision-Making and its impact assessment tool | A model for impact assessment requirements | Public, Government of Canada terms | Ai and public services |
| Court and ombudsman decisions on automated decision-making | Legal findings on public sector algorithms | Public records | Ai and public services |
| Developer system cards describing agent safeguards | Developer-reported agent evaluations and controls | Public documents, terms per developer | Agentic systems |
| ENISA reports on AI cybersecurity | Threat landscape and good practice for securing AI | Public, ENISA terms | Ai cyber security |
| Epoch AI benchmark and model databases | Compiled benchmark results and model characteristics | Open, CC BY 4.0 | Model evaluation |
| Epoch AI data on notable models and compute | Training compute and hardware trends | Open, CC BY 4.0 | Compute and energy |
| Eurostat ICT usage in enterprises survey | Share of enterprises using AI | Open, Eurostat reuse policy | Labour and social effects |
| Government algorithm and AI registers, such as the UK Algorithmic Transparency Recording Standard records | Public records of algorithmic tools in use | Open, Open Government Licence where applicable | Ai and public services |
| Grid operator interconnection queues and planning reports | Requested connections and load forecasts | Public records, terms per operator | Compute and energy |
| IEA Energy and AI analysis and data centre electricity estimates | Global and regional data centre electricity demand | Licence per product (to check) | Compute and energy |
| ILO studies on generative AI exposure of occupations | Occupational exposure estimates by country and gender | Public, ILO terms | Labour and social effects |
| International AI Safety Report | Synthesis of evidence on capabilities, risks and evaluation limits | Public, terms per publisher | Model evaluation |
| ISO 10218 and ISO/TS 15066 | Safety requirements for industrial and collaborative robots | Licensed standards, purchase required | Autonomous physical systems |
| Joint guidance from national cyber agencies on secure AI system development | Secure design, development, deployment and operation | Public, terms per agency | Ai cyber security |
| Materials Project | Computed materials properties for screening | Open, CC BY 4.0 | Ai in science |
| MITRE ATLAS | Adversarial tactics and techniques against AI systems, with case studies | Public, licence to check | Ai cyber security |
| MLCommons benchmarks, including AILuminate | Standardised performance and safety benchmarks | Public results, MLCommons terms (to check) | Model evaluation |
| Model cards and system cards from developers | Developer-reported evaluations and limitations | Public documents, terms per developer | Model evaluation |
| National audit office reports on algorithms | Independent audits of public sector AI | Public records, licence per office | Ai and public services |
| National occupational injury statistics | Injuries involving machinery and robots | Public records, licence per government | Autonomous physical systems |
| National Vulnerability Database and CVE records | Vulnerabilities in AI software | Public domain, US government | Ai cyber security |
| NHTSA Standing General Order crash reports | Crashes involving automated driving and driver assistance systems in the US | Public domain, US government | Autonomous physical systems |
| NIST adversarial machine learning taxonomy | Terminology and taxonomy of attacks and mitigations | Public domain, US government | Ai cyber security |
| NIST AI Risk Management Framework | Practices for governing and measuring AI risk | Public domain, US government | Agentic systems |
| OECD Employment Outlook and AI in work studies | Evidence on AI adoption and labour effects | Public, OECD terms | Labour and social effects |
| OECD.AI Policy Observatory | Government AI policies and the AI Incidents Monitor | Public, OECD terms | Ai and public services |
| Online job posting data such as Lightcast summaries | Demand for AI skills | Commercial; public summaries (to check) | Labour and social effects |
| Operator sustainability reports | Energy, water and emissions disclosures | Public documents, terms per operator | Compute and energy |
| OWASP Top 10 for LLM Applications and agentic security guidance | Risks such as prompt injection and excessive agency | Open, CC BY-SA 4.0 | Agentic systems |
| Princeton reproducibility studies on ML-based science | Survey of leakage and reproducibility failures | Licence per publication | Ai in science |
| Protein Data Bank and AlphaFold Protein Structure Database | Experimental and predicted protein structures | Open, CC0 and CC BY 4.0 respectively | Ai in science |
| Published agent benchmarks such as SWE-bench and related suites | Task-based evaluation of agents | Open, licence per benchmark (to check) | Agentic systems |
| Publisher and funder policies on AI use | Rules on authorship, disclosure and review | Public, terms per publisher | Ai in science |
| Stanford AI Index | Compiled indicators on AI adoption, investment and labour | Public, licence to check | Labour and social effects |
| Stanford HELM (Holistic Evaluation of Language Models) | Open, multi-metric evaluations of language models | Open source, Apache 2.0 for code; results public | Model evaluation |
| TOP500 and Green500 lists | Performance and energy efficiency of supercomputers | Public, TOP500 terms | Compute and energy |
| UNECE regulations on automated driving, including UN Regulation No. 157 | Type approval requirements for automated lane keeping and related systems | Public, UNECE terms | Autonomous physical systems |
| WeatherBench and related benchmarks | Standard evaluation of data-driven weather models | Open, licence per benchmark (to check) | Ai in science |
Sources are added to the register as they are reviewed. A source is listed only once its terms permit the use described.
Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.
| Term | Definition |
|---|---|
| Provenance | Information about the entities, activities and people involved in producing a record, used to judge its quality and reliability, in the W3C PROV model. |
| FAIR principles | Guiding principles that make data findable, accessible, interoperable and reusable by people and machines. |
| Open licence | A licence that allows anyone to access, reuse and redistribute data, sometimes with attribution. |
| Data lineage | The traceable path of data from its origin through each transformation to its current form. |
The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.
The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.