Reports · GCRI · Established
Artificial intelligence · Data and compute
Reports における人工知能と自律システム
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.
- シリーズ
- 2
- システム
- 4
- 手法
- 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 システム this area reads. Each opens at its anchor in its edition, with its numbered sources.
- AREアラブ首長国連邦Gas 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
- ARGアルゼンチンLow-carbon sources supplied 42% of electricity in 2025, and renewables including large hydro covered 40.2% of demand.REPORTED · COUNTRY-ARG-ENE-003
- AUアフリカ連合In 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
- AUSオーストラリアWind and solar supplied 33% of electricity in 2025; fossil fuels supplied 61% and coal 43%.REPORTED · COUNTRY-AUS-ENE-003
- BRAブラジルRenewables 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
- CHEスイスIn 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
- CHN中国Coal 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
- EU欧州連合Renewables 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-02世界のエネルギーGlobal 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 システム this area reads to the series it feeds.
How Artificial Intelligence and Autonomous Systems reaches 報告書: what it reads, how it reads it, the sealed cut and the series it feeds.
| ステップ | 何が起きるか | 出典 |
|---|---|---|
| 01 What it reads | Artificial Intelligence and Autonomous Systems reads NXS-NXQ(ソフトウェア、モデル、能力のライフサイクル) と NXS-LAB(研究、実験、シミュレーション): 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 ラボ 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: Reports における人工知能と自律システム (2026); Artificial Intelligence and Autonomous Systems home (2026).
The series it feeds, and what backs each.
| シリーズ | Foundry systems it draws on | Academy disciplines | Series home |
|---|---|---|---|
| 指数関数的テクノロジー | NXS-NXQ the capability catalogue and fitness assessments of machine capabilities NXS-LAB benchmark comparisons and experiment records for fast-changing technologies | 人工知能と機械学習 イノベーションと先端技術のガバナンス 量子技術 | Exponential Technology series home |
| ラボ エビデンス | NXS-LAB what was tried, under which conditions, and what happened, including negative results | 研究、エビデンス、科学と政策のインターフェース 複雑 システム 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(構成、ダッシュボード、ワークフロー)NXS-STUNXS-STURooms: Composer, Populations.
- NXS-NSF(信頼、認可、保証)NXS-NSFNXS-NSFRooms: Authority, Assurance.
- STEM の手法STEM コモンズ人工知能と機械学習The canonical method page, with its limits.
- STEM の手法STEM コモンズAI 評価・保証工学The canonical method page, with its limits.
- STEM の手法STEM コモンズ高性能・クラウド・エッジ・コンピューティングThe canonical method page, with its limits.
- STEM の手法STEM コモンズ確率と統計The canonical method page, with its limits.
- STEM の手法STEM コモンズサイバーセキュリティと暗号The canonical method page, with its limits.
- STEM の手法STEM コモンズ社会科学・行動科学The canonical method page, with its limits.
- Academy disciplineRisk Academy人工知能と機械学習技術・デジタルシステム学部
- Academy disciplineRisk AcademyAIの安全性と評価技術・デジタルシステム学部
- Academy disciplineRisk Academyロボティクスと自律システム技術・デジタルシステム学部
- 分野GCRI人工知能The field across science, governance and finance.
- 分野GCRIデータと計算資源The field across science, governance and finance.
Where the same subject is reported elsewhere.
- Counterpart · GRF報告書Innovation NexusShared: Artificial intelligence.
- Counterpart · GRF報告書AI とデジタル・ガバナンスShared: Artificial intelligence.
- Counterpart · GRA報告書AI と金融モデルリスクShared: Artificial intelligence.
- Standards areaNexus StandardsデータとデータセットData and evidence. Parts NS-3, NS-3b, NS-11, NS-1.
- Standards areaNexus StandardsソフトウェアとサプライチェーンTrust, verification and assurance. Parts NS-12, NS-11, NS-1.
- Standards areaNexus StandardsAI、モデル、エージェントDigital, cyber and AI. Parts NS-12, NS-10, NS-11.
- Standards areaNexus Standardsシナリオ、モデル、フォーサイトSystemic risks. Parts NS-12, NS-3b, NS-11.
- Standards areaNexus Standardsプライバシーとデータ保護Data and evidence. Parts NS-10, NS-11, NS-3.
- Standards areaNexus Standards金融・決済データFinance, insurance and the economy. Parts NS-9, NS-10, NS-11, NS-14.
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