Reports · GCRI · Established
Artificial intelligence · Data and compute
Artificial Intelligence and Autonomous Systems in Reports
Trustworthy artificial intelligence, robotics-enabled autonomy, computational methods and social effects. This page shows the series it feeds, the evidence behind it and how to contribute.
- Series
- 2
- Systems
- 4
- Methods
- 7
What this area brings to the editions.
Trustworthy artificial intelligence, robotics-enabled autonomy, computational methods and social effects.
9 findings of the drafted editions that bear on Artificial Intelligence and Autonomous Systems.
Drawn from the Baseline Edition 2026 drafts through the systems this area reads. Each opens at its anchor in its edition, with its numbered sources.
- AREUnited Arab EmiratesGas gave 68% of electricity generation in 2025, down from 97% in 2019, while nuclear reached 21% and solar 10%; total generation rose from 138 to 184 TWh.REPORTED · COUNTRY-ARE-ENE-003
- ARGArgentinaLow-carbon sources supplied 42% of electricity in 2025, and renewables including large hydro covered 40.2% of demand.REPORTED · COUNTRY-ARG-ENE-003
- AUAfrican UnionIn 2024, 55.1% of people in Sub-Saharan Africa had electricity, up from 46.4% in 2018; about 579 million had none (derived).REPORTED · COUNTRY-AU-ENE-002
- AUSAustraliaWind and solar supplied 33% of electricity in 2025; fossil fuels supplied 61% and coal 43%.REPORTED · COUNTRY-AUS-ENE-003
- BRABrazilRenewables supplied 86.8% of electricity in 2025. Hydropower fell 4.8% to 401.4 TWh while gas generation rose 22.7%, and wind and solar together supplied 26.4%.REPORTED · COUNTRY-BRA-ENE-005
- CHESwitzerlandIn 2025 hydropower supplied 55.5% of domestic electricity generation, nuclear power 27.2% and photovoltaics 11.8%, and final electricity consumption was 57,970 GWh.REPORTED · COUNTRY-CHE-ENE-003
- CHNChinaCoal supplied 54.8% of electricity in 2025 and 51.4% of total energy consumption, while wind and solar supplied 21.9% of electricity.REPORTED · COUNTRY-CHN-ENE-006
- EUEuropean UnionRenewables supplied 25.2% of gross final energy consumption in 2024, 17.3 points below the 42.5% target for 2030.REPORTED · COUNTRY-EU-ENE-003
- GS-02Global EnergyGlobal energy demand grew 1.3% (8 EJ) in 2025, down from 2% in 2024, and electricity demand grew nearly 3%, more than twice as fast.REPORTED · SECTOR-ENERGY-GLOBAL-ENE-001
From Foundry evidence to the series.
The evidence, step by step, from the systems this area reads to the series it feeds.
How Artificial Intelligence and Autonomous Systems reaches Reports: what it reads, how it reads it, the sealed cut and the series it feeds.
| Step | What happens | Source |
|---|---|---|
| 01 What it reads | Artificial Intelligence and Autonomous Systems reads NXS-NXQ (software, models and capability lifecycle) and NXS-LAB (research, experiments and simulations): governed sources with their releases, never a value without its source. | |
| 02 How it reads them | Artificial intelligence and machine learning and AI evaluation and assurance engineering turn the evidence into findings, with assumptions and limits stated beside each value. | |
| 03 The cut is sealed | Each quarter the evidence is sealed in one cut, so OBSERVED, REPORTED and ESTIMATED values stay apart and every edition can be rebuilt. | |
| 04 The series it feeds | The cut feeds Exponential Technology and Labs Evidence, from the Baseline Edition 2026 into the quarterly series. | |
| 05 Who decides | Decisions stay with the authorities that hold them, under their own rules; an edition informs a decision and never makes it. |
A teaching model of the evidence path, not a forecast and not a record of any run; the systems, methods and series named come from the registries. Sources: Artificial Intelligence and Autonomous Systems in Reports (2026); Artificial Intelligence and Autonomous Systems home (2026).
The series it feeds, and what backs each.
| Series | Foundry systems it draws on | Academy disciplines | Series home |
|---|---|---|---|
| Exponential Technology | NXS-NXQ the capability catalogue and fitness assessments of machine capabilities NXS-LAB benchmark comparisons and experiment records for fast-changing technologies | Artificial intelligence and machine learning Innovation and frontier technology governance Quantum technologies | Exponential Technology series home |
| Labs Evidence | NXS-LAB what was tried, under which conditions, and what happened, including negative results | Research, evidence and the science-policy interface Complex systems and systems modelling | Labs Evidence series home |
The systems, methods and teaching behind it.
- NXS-NXQNXS-NXQNXS-NXQRooms: Capabilities, Competence.
- NXS-LABNXS-LABNXS-LABRooms: Experiments, Benchmarks.
- NXS-STU (composition, dashboards and workflows)NXS-STUNXS-STURooms: Composer, Populations.
- NXS-NSF (trust, authorisation and assurance)NXS-NSFNXS-NSFRooms: Authority, Assurance.
- STEM methodSTEM CommonsArtificial intelligence and machine learningThe canonical method page, with its limits.
- STEM methodSTEM CommonsAI evaluation and assurance engineeringThe canonical method page, with its limits.
- STEM methodSTEM CommonsHigh-performance, cloud and edge computingThe canonical method page, with its limits.
- STEM methodSTEM CommonsProbability and statisticsThe canonical method page, with its limits.
- STEM methodSTEM CommonsCybersecurity and cryptographyThe canonical method page, with its limits.
- STEM methodSTEM CommonsSocial and behavioural scienceThe canonical method page, with its limits.
- Academy disciplineRisk AcademyArtificial intelligence and machine learningFaculty of Technology and Digital Systems
- Academy disciplineRisk AcademyAI safety and evaluationFaculty of Technology and Digital Systems
- Academy disciplineRisk AcademyRobotics and autonomous systemsFaculty of Technology and Digital Systems
- FieldGCRIArtificial intelligenceThe field across science, governance and finance.
- FieldGCRIData and computeThe field across science, governance and finance.
Where the same subject is reported elsewhere.
- Counterpart · GRFReportsInnovation NexusShared: Artificial intelligence.
- Counterpart · GRFReportsAI and Digital GovernanceShared: Artificial intelligence.
- Counterpart · GRAReportsAI and Financial Model RiskShared: Artificial intelligence.
- Standards areaNexus StandardsData and datasetsData and evidence. Parts NS-3, NS-3b, NS-11, NS-1.
- Standards areaNexus StandardsSoftware and supply chainTrust, verification and assurance. Parts NS-12, NS-11, NS-1.
- Standards areaNexus StandardsAI, models and agentsDigital, cyber and AI. Parts NS-12, NS-10, NS-11.
- Standards areaNexus StandardsScenarios, models and foresightSystemic risks. Parts NS-12, NS-3b, NS-11.
- Standards areaNexus StandardsPrivacy and data protectionData and evidence. Parts NS-10, NS-11, NS-3.
- Standards areaNexus StandardsFinance and payments dataFinance, insurance and the economy. Parts NS-9, NS-10, NS-11, NS-14.
Topic pages on Artificial Intelligence and Autonomous Systems.
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