Reports · GCRI · Established
Artificial intelligence · Data and compute
Reports'ta Yapay Zekâ ve Otonom Sistemler
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.
- Seri
- 2
- Sistem
- 4
- Yöntemler
- 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 sistemleri this area reads. Each opens at its anchor in its edition, with its numbered sources.
- AREBirleşik Arap EmirlikleriGas 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
- ARGArjantinLow-carbon sources supplied 42% of electricity in 2025, and renewables including large hydro covered 40.2% of demand.REPORTED · COUNTRY-ARG-ENE-003
- AUAfrika BirliğiIn 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
- AUSAvustralyaWind and solar supplied 33% of electricity in 2025; fossil fuels supplied 61% and coal 43%.REPORTED · COUNTRY-AUS-ENE-003
- BRABrezilyaRenewables 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
- CHEİsviçreIn 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
- CHNÇinCoal 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
- EUAvrupa BirliğiRenewables 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-02Küresel EnerjiGlobal 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 sistemleri this area reads to the series it feeds.
How Artificial Intelligence and Autonomous Systems reaches Raporlar: what it reads, how it reads it, the sealed cut and the series it feeds.
| Adım | Ne olur | Kaynak |
|---|---|---|
| 01 What it reads | Artificial Intelligence and Autonomous Systems reads NXS-NXQ (yazılım, modeller ve yetenek yaşam döngüsü) ve NXS-LAB (araştırma, deneyler ve simülasyonlar): 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 Laboratuvarlar 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'ta Yapay Zekâ ve Otonom Sistemler (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 |
|---|---|---|---|
| Üstel Teknoloji | NXS-NXQ the capability catalogue and fitness assessments of machine capabilities NXS-LAB benchmark comparisons and experiment records for fast-changing technologies | Yapay zekâ ve makine öğrenmesi İnovasyon ve öncü teknolojilerin yönetişimi Kuantum teknolojileri | Exponential Technology series home |
| Laboratuvarlar Kanıt | NXS-LAB what was tried, under which conditions, and what happened, including negative results | Araştırma, kanıt ve bilim-politika arayüzü Complex sistemleri 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 (kompozisyon, panolar ve iş akışları)NXS-STUNXS-STURooms: Composer, Populations.
- NXS-NSF (güven, yetkilendirme ve güvence)NXS-NSFNXS-NSFRooms: Authority, Assurance.
- STEM yöntemiSTEM CommonsYapay zekâ ve makine öğrenmesiThe canonical method page, with its limits.
- STEM yöntemiSTEM CommonsYapay zekâ değerlendirme ve güvence mühendisliğiThe canonical method page, with its limits.
- STEM yöntemiSTEM CommonsYüksek performanslı, bulut ve uç bilişimThe canonical method page, with its limits.
- STEM yöntemiSTEM CommonsOlasılık ve istatistikThe canonical method page, with its limits.
- STEM yöntemiSTEM CommonsSiber güvenlik ve kriptografiThe canonical method page, with its limits.
- STEM yöntemiSTEM CommonsSosyal ve davranış bilimleriThe canonical method page, with its limits.
- Academy disciplineRisk AcademyYapay zekâ ve makine öğrenmesiTeknoloji ve Dijital Sistemler Fakültesi
- Academy disciplineRisk AcademyYapay zekâ güvenliği ve değerlendirmesiTeknoloji ve Dijital Sistemler Fakültesi
- Academy disciplineRisk AcademyRobotik ve otonom sistemlerTeknoloji ve Dijital Sistemler Fakültesi
- AlanGCRIYapay zekâThe field across science, governance and finance.
- AlanGCRIVeri ve hesaplamaThe field across science, governance and finance.
Where the same subject is reported elsewhere.
- Counterpart · GRFRaporlarInnovation NexusShared: Artificial intelligence.
- Counterpart · GRFRaporlarYapay Zekâ ve Dijital YönetişimShared: Artificial intelligence.
- Counterpart · GRARaporlarYapay Zekâ ve Finansal Model RiskiShared: Artificial intelligence.
- Standards areaNexus StandardsVeriler ve veri kümeleriData and evidence. Parts NS-3, NS-3b, NS-11, NS-1.
- Standards areaNexus StandardsYazılım ve tedarik zinciriTrust, verification and assurance. Parts NS-12, NS-11, NS-1.
- Standards areaNexus StandardsYapay zekâ, modeller ve ajanlarDigital, cyber and AI. Parts NS-12, NS-10, NS-11.
- Standards areaNexus StandardsSenaryolar, modeller ve öngörüSystemic risks. Parts NS-12, NS-3b, NS-11.
- Standards areaNexus StandardsGizlilik ve veri korumaData and evidence. Parts NS-10, NS-11, NS-3.
- Standards areaNexus StandardsFinans ve ödeme verileriFinance, insurance and the economy. Parts NS-9, NS-10, NS-11, NS-14.
Topic pages on Artificial Intelligence and Autonomous Systems.
Contribute on Artificial Intelligence and Autonomous Systems.
Evidence, a case, a correction, a method or profile input on this subject. The composer tags it with this area and its series.
Write a contribution the editor can act on.
Say what it is, where its record is kept and on which licence. It arrives tagged with this page, its area and its gateway, so it reaches the editor who owns it.
Your email opens with the subject and a template already filled in for GW-GCRI.
- Kanıt
- Düzeltme
- Vaka çalışması
- Analysis or method
- Hakem incelemesi
- Çeviri
- Profile input
Never send personal data or sensitive infrastructure detail. A contribution is reviewed before use; sending it confers no authorship or editorial rights.
Open science for Artificial Intelligence and Autonomous Systems.
How a contribution on this subject is deposited, identified, credited, licensed and found, and the metadata for it prefilled from this page.
Artificial Intelligence and Autonomous Systems’s open record
- Alan
- Yapay Zekâ ve Otonom Sistemler
- Feeds
- Exponential Technology, Labs Evidence
- Kayıt
- A UNI for every accepted contribution; cited with its DOI in the edition that uses it
- Bağlantılar
- isSupplementTo the edition it informs; isNewVersionOf its earlier version
- Lisans
- CC BY 4.0 (SPDX CC-BY-4.0) for original material; metadata CC0 1.0
Credit and identity
- ORCID
- Your iD in the deposit and the contribution record; DataCite can then add the work to your ORCID record
- ROR
- Your organisation by its ROR identifier, never by a typed name alone
- CRediT
- Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualisation, Writing, review and editing
- Hesap
- None needed to contribute; never a password
Find and follow
Search the open indexes for Artificial Intelligence and Autonomous Systems; software is cited by its SWHID from Software Heritage. Annotation is your choice: Hypothesis opens this page in its own viewer.
Mirrors and harvest
The DOI is canonical. At release each signed bundle is also given an IPFS content identifier and a bloxberg anchor as mirrors; both are listed in the record once they exist. Zenodo exposes every record over OAI-PMH, and reviews and endorsements can arrive through COAR Notify where the repository supports it.
{
"metadata": {
"resource_type": {
"id": "dataset"
},
"title": "Evidence on Artificial Intelligence and Autonomous Systems for Nexus Reports",
"publication_date": "YYYY-MM-DD",
"creators": [
{
"person_or_org": {
"type": "personal",
"family_name": "Your family name",
"given_name": "Your given name",
"identifiers": [
{
"scheme": "orcid",
"identifier": "0000-0000-0000-0000"
}
]
},
"affiliations": [
{
"id": "ROR identifier of your organisation"
}
]
}
],
"description": "What it is, where its record is kept and how it bears on Artificial Intelligence and Autonomous Systems in Nexus Reports.",
"rights": [
{
"id": "cc-by-4.0"
}
],
"subjects": [
{
"subject": "Nexus Reports"
},
{
"subject": "Artificial Intelligence and Autonomous Systems"
},
{
"subject": "Artificial intelligence"
},
{
"subject": "Data and compute"
}
],
"related_identifiers": [
{
"identifier": "https://therisk.global/nexus-reports/areas/ai-autonomous-systems/",
"scheme": "url",
"relation_type": {
"id": "issupplementto"
},
"resource_type": {
"id": "other"
}
}
],
"version": "1.0.0"
},
"custom_fields": {},
"access": {
"record": "public",
"files": "public"
},
"files": {
"enabled": true
},
"parent": {
"communities": {
"default": "nexusreports"
}
}
}Releases for this area.
Releases tagged to this area appear here once released.
Send evidence on Artificial Intelligence and Autonomous Systems.
Reports is the Consortium’s quarterly publication, written by six desks. This page sits with the Global Centre for Risk and Innovation (GCRI) Sistem Kanıt masasında yer alır. Bu konu hakkında bildikleriniz, bir sonraki sayıda kanıt, vaka veya düzeltme haline gelebilir; size atfedilir ve kendi çalışmanızsa CC BY 4.0 altında yayımlanır. Yanlış masaya gönderilirse reddedilmez, yönlendirilir.
- E-postaGW-GCRI geçidiBu sayfadan gönderinKanıt, bir düzeltme, bir vaka, bir yöntem, bir inceleme, bir çeviri veya profil girdisi. Bu sayfayla etiketlenmiş olarak gelir; böylece sayfanın sahibi editör onu alır.
- ZenodoAçık depoDepolayın ve topluluğa gönderinKendi kaydınızı ORCID iD'nizle Zenodo'da yayımlayın, ardından orada Reports topluluğuna gönderin. Küratörler inceler; DOI sizde kalır.
- RaporlarGCRIElinizdekini hangi büronun aldığını görünYönlendirme tablosu katkı sayfasını açar: elinizdekini, onu alan bürosunu, her katkının nasıl incelendiğini ve kaydedildiğini ve lisansı.
Hiçbir zaman kişisel veri, hassas altyapı ayrıntısı veya paylaşma hakkınız olmayan hiçbir şey göndermeyin. Bir katkı kullanılmadan önce incelenir. Katkıyı göndermek yazarlık veya editoryal hak sağlamaz ve sponsorluk hiçbir zaman bir bulgu satın almaz.
Around the reports at GCRI.
Bring what you know to the next edition.
Every quarter closes on a sealed evidence cut. Contributions received before the cut are reviewed for that edition; later ones wait for the next.
Hukuki belgeler.
Bu sitedeki haritalar, veriler ve şekiller bağlam ve genel bilgi amacıyla gösterilir. Tavsiye, tahmin ya da uyarı değildir; bilgilerin sınırları Sorumluluk Reddi ve Veri Bildirimleri'nde açıklanmıştır.
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.