Reports · GCRI · Established
Artificial intelligence · Data and compute
Kecerdasan Buatan dan Sistem Otonom di 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.
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- Sistem
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- Metode
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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 sistem this area reads. Each opens at its anchor in its edition, with its numbered sources.
- AREUni Emirat ArabGas 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
- AUUni AfrikaIn 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
- BRABrasilRenewables 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
- CHESwissIn 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
- CHNTiongkokCoal 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
- EUUni EropaRenewables 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-02Energi GlobalGlobal 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 sistem this area reads to the series it feeds.
How Artificial Intelligence and Autonomous Systems reaches Laporan: what it reads, how it reads it, the sealed cut and the series it feeds.
| Langkah | Apa yang terjadi | Sumber |
|---|---|---|
| 01 What it reads | Artificial Intelligence and Autonomous Systems reads NXS-NXQ (perangkat lunak, model, dan siklus hidup kapabilitas) , dan NXS-LAB (penelitian, eksperimen, dan simulasi): 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 Laboratorium 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: Kecerdasan Buatan dan Sistem Otonom di Reports (2026); Artificial Intelligence and Autonomous Systems home (2026).
The series it feeds, and what backs each.
| Seri | Foundry systems it draws on | Academy disciplines | Series home |
|---|---|---|---|
| Teknologi Eksponensial | NXS-NXQ the capability catalogue and fitness assessments of machine capabilities NXS-LAB benchmark comparisons and experiment records for fast-changing technologies | Kecerdasan buatan dan pembelajaran mesin Tata kelola inovasi dan teknologi garda depan Teknologi kuantum | Exponential Technology series home |
| Laboratorium Bukti | NXS-LAB what was tried, under which conditions, and what happened, including negative results | Riset, bukti, dan antarmuka sains-kebijakan Kompleks sistem 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 (komposisi, dasbor, dan alur kerja)NXS-STUNXS-STURooms: Composer, Populations.
- NXS-NSF (kepercayaan, otorisasi, dan penjaminan)NXS-NSFNXS-NSFRooms: Authority, Assurance.
- Metode STEMSTEM CommonsKecerdasan buatan dan pembelajaran mesinThe canonical method page, with its limits.
- Metode STEMSTEM CommonsEvaluasi AI dan rekayasa penjaminanThe canonical method page, with its limits.
- Metode STEMSTEM CommonsKomputasi berkinerja tinggi, cloud, dan edgeThe canonical method page, with its limits.
- Metode STEMSTEM CommonsProbabilitas dan statistikaThe canonical method page, with its limits.
- Metode STEMSTEM CommonsKeamanan siber dan kriptografiThe canonical method page, with its limits.
- Metode STEMSTEM CommonsIlmu sosial dan perilakuThe canonical method page, with its limits.
- Academy disciplineRisk AcademyKecerdasan buatan dan pembelajaran mesinFakultas Teknologi dan Sistem Digital
- Academy disciplineRisk AcademyKeselamatan dan evaluasi AIFakultas Teknologi dan Sistem Digital
- Academy disciplineRisk AcademyRobotika dan sistem otonomFakultas Teknologi dan Sistem Digital
- BidangGCRIKecerdasan buatanThe field across science, governance and finance.
- BidangGCRIData dan komputasiThe field across science, governance and finance.
Where the same subject is reported elsewhere.
- Counterpart · GRFLaporanInnovation NexusShared: Artificial intelligence.
- Counterpart · GRFLaporanTata Kelola AI dan DigitalShared: Artificial intelligence.
- Counterpart · GRALaporanRisiko AI dan Model KeuanganShared: Artificial intelligence.
- Standards areaNexus StandardsData dan datasetData and evidence. Parts NS-3, NS-3b, NS-11, NS-1.
- Standards areaNexus StandardsPerangkat lunak dan rantai pasokTrust, verification and assurance. Parts NS-12, NS-11, NS-1.
- Standards areaNexus StandardsAI, model, dan agenDigital, cyber and AI. Parts NS-12, NS-10, NS-11.
- Standards areaNexus StandardsSkenario, model, dan kajian masa depanSystemic risks. Parts NS-12, NS-3b, NS-11.
- Standards areaNexus StandardsPrivasi dan pelindungan dataData and evidence. Parts NS-10, NS-11, NS-3.
- Standards areaNexus StandardsData keuangan dan pembayaranFinance, 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
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