GCRI · Artificial Intelligence and Autonomous Systems
Research and evidence
The research behind Artificial Intelligence and Autonomous Systems: the questions it asks, the models and measurements it uses, how uncertainty is stated and how a result is reviewed and reproduced before it is published.
The workspace for research and evidence.
Evidence register
AI and autonomous systems · Research and evidence · Example interface, not a record
Indicators
unit · cadence · label
| Models in registry | models | weekly | Published statistics | SP-9867 |
| Evaluations passed at release | of suites | per release | ASSESSED | SP-0910 |
| Open AI incidents | incidents | daily | REPORTED | SP-2588 |
| Agent actions needing approval | actions / day | daily | OBSERVED | SP-8895 |
| Compute per training run | GPU-hours | per run | REPORTED | SP-6682 |
Source passport
- Source
- Model registry
- Licence
- open · attribution
- Steward
- Incident responder
- Coverage
- 83 pct of places
- Known limits
- sparse in uplands
Coverage by place
Artificial Intelligence and Autonomous Systems · Evidence register. Evidence register: example names and illustrative values, not a record.
What the research asks.
- 01
Model evaluation
Validity, calibration and generalisation.
- 02
Agentic systems
Tool access, delegated authority and safe execution.
- 03
AI cyber security
Adversarial methods and model exposure.
- 04
AI in science
Discovery and reproducibility.
- 05
AI and public services
Public accountability, access and rights.
- 06
Autonomous physical systems
Robots, sensors and controls.
What AI research cannot yet answer well enough for decisions.
AI risk research has to keep pace with capability. The agenda concentrates on evaluation, agents, uses in public services and science, and the system-level effects that single-model testing misses.
- Which evaluations predict real-world failure, rather than benchmark performance? See model evaluation.
- How should agents that act through tools be scoped, monitored and stopped? See agentic systems.
- What evidence should a public service require before using AI in decisions about people? See AI and public services.
- How do autonomous physical systems fail in mixed human-machine environments? See autonomous physical systems.
- What is the energy and water footprint of AI compute, and where does it concentrate? See compute and energy.
Every result keeps its label.
Results are labelled as observed, published statistics, estimated, modelled, forecast, scenario or expert judgement. Missing data is shown as missing, never filled silently.
Where this page’s references lead.
The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.
Pages in Research and evidence.
Questions and answers.
Can I propose a research question?
Contribute evidence from this page.
Reports is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.
- EmailGateway GW-GCRISend it from this pageEvidence, a correction, a case, a method, a review, a translation or profile input. It arrives tagged with this page, so the editor who owns it receives it.
- ZenodoOpen depositDeposit it and submit to the communityPublish your own record on Zenodo with your ORCID iD, then submit it to the Reports community there. Curators review it; the DOI stays yours.
- ReportsGCRISee every way to contributeThe contribution types, how each is reviewed, what credit you receive, the licence and what is never accepted.
Never send personal data, sensitive infrastructure detail or anything you have no right to share. A contribution is reviewed before use; sending it confers no authorship or editorial rights, and sponsorship never buys a finding.
Bring a method, a dataset or a question.
Information and enquiries are open today. 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.
Legal documents.
Maps, data and figures on this site are shown for context and general information. They are not advice, forecasts or warnings; the limits of the information are set out in the Disclaimers and Data Notices.