Reports · GCRI · Established
Artificial intelligence · Data and compute
زیرەکی دەستکرد و سیستەمە خۆسەرەکان لە 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.
- زنجیرە
- 2
- سیستەم
- 4
- میتۆدەکان
- 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 سیستەمە this area reads. Each opens at its anchor in its edition, with its numbered sources.
- AREئیمارەتە عەرەبییە یەکگرتووەکانGas 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
- ARGئەرجەنتینLow-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
- AUSئوسترالیاWind and solar supplied 33% of electricity in 2025; fossil fuels supplied 61% and coal 43%.REPORTED · COUNTRY-AUS-ENE-003
- BRAبەرازیلRenewables 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
- CHEسویسراIn 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
- CHNچینCoal 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
- EUیەکێتی ئەورووپاRenewables 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-02وزە لە ئاستی جیهانداGlobal 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 سیستەمە 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.
| هەنگاو | What happens | سەرچاوە |
|---|---|---|
| 01 What it reads | Artificial Intelligence and Autonomous Systems reads NXS-NXQ (software, models and capability lifecycle) و NXS-LAB (توێژینەوە، تاقیکردنەوە و شبیەسازی): 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: زیرەکی دەستکرد و سیستەمە خۆسەرەکان لە Reports (2026); Artificial Intelligence and Autonomous Systems home (2026).
The series it feeds, and what backs each.
| زنجیرە | Foundry systems it draws on | Academy disciplines | Series home |
|---|---|---|---|
| تەکنەلۆجیای ئێکسپۆنێنشیاڵ | NXS-NXQ the capability catalogue and fitness assessments of machine capabilities NXS-LAB benchmark comparisons and experiment records for fast-changing technologies | زیرەکی دەستکرد و فێربوونی ماشێن حوکمڕانیی داهێنان و تەکنەلۆجیای پێشەنگ تەکنەلۆجیای کوانتەم | Exponential Technology series home |
| Labs بەڵگە | NXS-LAB what was tried, under which conditions, and what happened, including negative results | توێژینەوە، بەڵگە و ڕووبەری زانست و سیاسەت Complex سیستەمە 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 (متمانە، ڕێپێدان و دڵنیاکردنەوە)NXS-NSFNXS-NSFRooms: Authority, Assurance.
- STEM methodSTEM Commonsزیرەکی دەستکرد و فێربوونی ماشێنThe canonical method page, with its limits.
- STEM methodSTEM Commonsئەندازیاری هەڵسەنگاندن و دڵنیایی لە زیرەکی دەستکردThe canonical method page, with its limits.
- STEM methodSTEM Commonsکۆمپیوتەری کارایی بەرز، هەور و لێوارThe canonical method page, with its limits.
- STEM methodSTEM Commonsئەگەر و ئامارThe canonical method page, with its limits.
- STEM methodSTEM Commonsئاسایشی سایبەری و کریپتۆگرافیThe canonical method page, with its limits.
- STEM methodSTEM Commonsزانستی کۆمەڵایەتی و ڕەفتاریThe canonical method page, with its limits.
- Academy disciplineRisk Academyزیرەکی دەستکرد و فێربوونی ماشێنکۆلێژی تەکنەلۆجیا و سیستەمە دیجیتاڵییەکان
- Academy disciplineRisk Academyسەلامەتی و هەڵسەنگاندنی زیرەکی دەستکردکۆلێژی تەکنەلۆجیا و سیستەمە دیجیتاڵییەکان
- Academy disciplineRisk Academyڕۆبۆتیکس و سیستەمە خۆسەرەکانکۆلێژی تەکنەلۆجیا و سیستەمە دیجیتاڵییەکان
- بوارGCRIزیرەکی دەستکردThe field across science, governance and finance.
- بوارGCRIداتا و ژمێریاریThe field across science, governance and finance.
Where the same subject is reported elsewhere.
- Counterpart · GRFReportsInnovation NexusShared: Artificial intelligence.
- Counterpart · GRFReportsحوکمڕانیی زیرەکی دەستکرد و دیجیتاڵShared: Artificial intelligence.
- Counterpart · GRAReportsزیرەکی دەستکرد و مەترسی مۆدێلی داراییShared: 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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Artificial Intelligence and Autonomous Systems’s open record
- ناوچە
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- Feeds
- Exponential Technology, Labs Evidence
- تۆمار
- A UNI for every accepted contribution; cited with its DOI in the edition that uses it
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- isSupplementTo the edition it informs; isNewVersionOf its earlier version
- مۆڵەت
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بەڵگەنامە یاساییەکان.
نەخشە، داتا و وێنەکانی ئەم ماڵپەڕە بۆ ناوەڕۆک و زانیاریی گشتی پیشان دراون. ئامۆژگاری، پێشبینی یان ئاگادارکردنەوە نین؛ سنوورەکانی زانیارییەکە لە ڕەتکردنەوەی بەرپرسیارێتی و ئاگاداریی داتادا دەستنیشان کراون.
CC BY 4.0 Free to read. Text and figures: CC BY 4.0. Data: CC0 1.0. Authors keep copyright. Published by GCRI Canada.