Reports · GCRI · Established
Artificial intelligence · Data and compute
Reports में कृत्रिम बुद्धिमत्ता और स्वायत्त प्रणालियाँ
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.
- शृंखला
- 2
- प्रणालियाँ
- 4
- पद्धतियाँ
- 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 प्रणालियाँ this area reads. Each opens at its anchor in its edition, with its numbered sources.
- AREसंयुक्त अरब अमीरातGas 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
- ARGअर्जेंटीनाLow-carbon sources supplied 42% of electricity in 2025, and renewables including large hydro covered 40.2% of demand.REPORTED · COUNTRY-ARG-ENE-003
- AUअफ़्रीकी संघIn 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
- AUSऑस्ट्रेलियाWind and solar supplied 33% of electricity in 2025; fossil fuels supplied 61% and coal 43%.REPORTED · COUNTRY-AUS-ENE-003
- BRAब्राज़ीलRenewables 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
- CHEस्विट्ज़रलैंडIn 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
- CHNचीनCoal 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
- EUयूरोपीय संघRenewables 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-02वैश्विक ऊर्जाGlobal 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 प्रणालियाँ this area reads to the series it feeds.
How Artificial Intelligence and Autonomous Systems reaches रिपोर्ट: what it reads, how it reads it, the sealed cut and the series it feeds.
| चरण | क्या होता है | स्रोत |
|---|---|---|
| 01 What it reads | Artificial Intelligence and Autonomous Systems reads NXS-NXQ (सॉफ़्टवेयर, मॉडल और क्षमता जीवनचक्र) और NXS-LAB (अनुसंधान, प्रयोग और सिमुलेशन): 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 लैब 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 में कृत्रिम बुद्धिमत्ता और स्वायत्त प्रणालियाँ (2026); Artificial Intelligence and Autonomous Systems home (2026).
The series it feeds, and what backs each.
| शृंखला | Foundry systems it draws on | Academy disciplines | Series home |
|---|---|---|---|
| घातांकीय प्रौद्योगिकी | NXS-NXQ the capability catalogue and fitness assessments of machine capabilities NXS-LAB benchmark comparisons and experiment records for fast-changing technologies | कृत्रिम बुद्धिमत्ता और मशीन लर्निंग नवाचार और अग्रणी प्रौद्योगिकी शासन क्वांटम प्रौद्योगिकियाँ | Exponential Technology series home |
| लैब साक्ष्य | NXS-LAB what was tried, under which conditions, and what happened, including negative results | शोध, साक्ष्य और विज्ञान-नीति संपर्क Complex प्रणालियाँ 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 (संयोजन, डैशबोर्ड और कार्यप्रवाह)NXS-STUNXS-STURooms: Composer, Populations.
- NXS-NSF (विश्वास, प्राधिकरण और आश्वासन)NXS-NSFNXS-NSFRooms: Authority, Assurance.
- STEM पद्धतिSTEM कॉमन्सकृत्रिम बुद्धिमत्ता और मशीन लर्निंगThe canonical method page, with its limits.
- STEM पद्धतिSTEM कॉमन्सAI मूल्यांकन और आश्वासन अभियांत्रिकीThe canonical method page, with its limits.
- STEM पद्धतिSTEM कॉमन्सउच्च-प्रदर्शन, क्लाउड और एज कंप्यूटिंगThe canonical method page, with its limits.
- STEM पद्धतिSTEM कॉमन्सप्रायिकता और सांख्यिकीThe canonical method page, with its limits.
- STEM पद्धतिSTEM कॉमन्ससाइबर सुरक्षा और क्रिप्टोग्राफ़ीThe canonical method page, with its limits.
- STEM पद्धतिSTEM कॉमन्ससामाजिक और व्यवहार विज्ञानThe canonical method page, with its limits.
- Academy disciplineRisk Academyकृत्रिम बुद्धिमत्ता और मशीन लर्निंगप्रौद्योगिकी और डिजिटल प्रणाली संकाय
- Academy disciplineRisk Academyएआई सुरक्षा और मूल्यांकनप्रौद्योगिकी और डिजिटल प्रणाली संकाय
- Academy disciplineRisk Academyरोबोटिक्स और स्वायत्त प्रणालियाँप्रौद्योगिकी और डिजिटल प्रणाली संकाय
- क्षेत्रGCRIकृत्रिम बुद्धिमत्ताThe field across science, governance and finance.
- क्षेत्रGCRIडेटा और कंप्यूटThe field across science, governance and finance.
Where the same subject is reported elsewhere.
- Counterpart · GRFरिपोर्टनवाचार NexusShared: Artificial intelligence.
- Counterpart · GRFरिपोर्टAI और डिजिटल शासनShared: Artificial intelligence.
- Counterpart · GRAरिपोर्टAI और वित्तीय मॉडल जोखिमShared: Artificial intelligence.
- Standards areaNexus Standardsडेटा और डेटासेटData and evidence. Parts NS-3, NS-3b, NS-11, NS-1.
- Standards areaNexus Standardsसॉफ़्टवेयर और आपूर्ति शृंखलाTrust, verification and assurance. Parts NS-12, NS-11, NS-1.
- Standards areaNexus StandardsAI, मॉडल और एजेंटDigital, cyber and AI. Parts NS-12, NS-10, NS-11.
- Standards areaNexus Standardsपरिदृश्य, मॉडल और दूरदर्शिताSystemic risks. Parts NS-12, NS-3b, NS-11.
- Standards areaNexus Standardsगोपनीयता और डेटा संरक्षणData and evidence. Parts NS-10, NS-11, NS-3.
- Standards areaNexus Standardsवित्त और भुगतान डेटाFinance, 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.
- साक्ष्य
- सुधार
- केस अध्ययन
- Analysis or method
- सहकर्मी समीक्षा
- रूपांतरण
- 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
- क्षेत्र
- कृत्रिम बुद्धिमत्ता और स्वायत्त प्रणालियाँ
- Feeds
- Exponential Technology, Labs Evidence
- अभिलेख
- A UNI for every accepted contribution; cited with its DOI in the edition that uses it
- लिंक
- isSupplementTo the edition it informs; isNewVersionOf its earlier version
- लाइसेंस
- 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
- खाता
- 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) प्रणालियाँ साक्ष्य डेस्क के साथ है। इस विषय पर आप जो जानते हैं, वह अगले संस्करण में साक्ष्य, मामला या सुधार बन सकता है, आपके नाम से श्रेय के साथ, और यदि वह आपका अपना काम है तो CC BY 4.0 के अंतर्गत प्रकाशित। गलत डेस्क पर भेजा गया हो तो उसे अग्रेषित किया जाता है, अस्वीकार नहीं।
- ईमेलगेटवे GW-GCRIइसे इसी पृष्ठ से भेजेंसाक्ष्य, सुधार, मामला, पद्धति, समीक्षा, अनुवाद या प्रोफ़ाइल इनपुट। यह इस पृष्ठ के टैग के साथ पहुँचता है, ताकि इसे सँभालने वाले संपादक को मिल जाए।
- Zenodoखुला जमाइसे जमा करें और समुदाय को प्रस्तुत करेंअपने ORCID iD के साथ Zenodo पर अपना अभिलेख प्रकाशित करें, फिर वहाँ Reports समुदाय को प्रस्तुत करें। संरक्षक उसकी समीक्षा करते हैं; DOI आपका ही रहता है।
- रिपोर्टGCRIदेखें कि आपके पास जो है उसे कौन-सा डेस्क लेता हैमार्ग-तालिका योगदान पृष्ठ खोलती है: आपके पास क्या है, उसे कौन-सा डेस्क लेता है, हर योगदान की समीक्षा और श्रेय कैसे होता है, और लाइसेंस।
व्यक्तिगत डेटा, संवेदनशील अवसंरचना का विवरण या ऐसी कोई भी सामग्री कभी न भेजें जिसे साझा करने का आपको अधिकार नहीं है। उपयोग से पहले योगदान की समीक्षा होती है; इसे भेजने से लेखकत्व या संपादकीय अधिकार नहीं मिलते, और प्रायोजन कभी किसी निष्कर्ष को नहीं खरीदता।
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.
कानूनी दस्तावेज़।
इस साइट पर मानचित्र, डेटा और आँकड़े संदर्भ और सामान्य जानकारी के लिए दिखाए जाते हैं। वे सलाह, पूर्वानुमान या चेतावनियाँ नहीं हैं; जानकारी की सीमाएँ अस्वीकरण और डेटा सूचनाओं में बताई गई हैं।
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.