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GCRI · زیرەکی دەستکرد و سیستەمە خۆسەرەکان

Dependencies and consequences

AI سیستەمە depend on data, compute, energy, software supply chains and people, and they are increasingly embedded in services and infrastructures that others depend on. This page explains the causal, physical, economic, social and ecological links between AI and other systems, how failures travel along them and how the platform analyses them while stating what is uncertain. Concentration is the recurring theme.

پرسیارێک بنێرە Back to Field overview
میتۆدەکانی STEM
7
ئەو ڕێگا بنەڕەتییانەی ئەم بوارە بەکاریان دەهێنێت
بابەتەکان
8
لاپەڕەکانی بابەت لەم بوارەدا
هاوتاکان
3
پلاتفۆرمەکانی بوارە هاوبەشەکان لە ناو تۆڕەکەدا
زنجیرەی ڕاپۆرت
2
زنجیرەی Reports کە بەشدارییان تێدا دەکات
01What AI depends on

Upstream dependencies.

ژمێریاری

Chips, data centres and cloud

Training and running large models depends on concentrated chip supply and a few cloud providers. See کۆمپیوتەر و وزە.

Energy and water

Physical resources

Data centres draw electricity and, for cooling, often water, linking AI growth to grids and local water stress.

Data and people

Inputs and labour

Training data, human feedback and annotation, often provided by low-paid workers, shape model behaviour.

02چاودێری

Field overview.

The screen a team would use to follow this subject: its measures, states and decisions. Names are examples and values are illustrative.

Field overview: the screen’s structure, terms and states for AI and autonomous systems.ناو و بەهای نموونەیی؛ دیزاینێکە، نەک تۆمار یان سیستەمی ڕاستەوخۆ.
03What depends on AI

Downstream consequences.

  1. 01

    خزمەتگوزارییە گشتییەکان

    Automated decisions in benefits, health, policing or migration affect rights directly. See زیرەکی دەستکرد و خزمەتگوزارییە گشتییەکان.

  2. 02

    Infrastructure and operations

    AI in grid management, logistics and industrial control can propagate errors into physical سیستەمەداراییەکان چی دەگەیەنێت. بڕوانە سیستەمە فیزیکییە خۆسەرەکان.

  3. 03

    Security

    AI changes the speed and scale of cyber attack and defence, and models are themselves targets. See AI and cyber security.

  4. 04

    دارایی

    Shared models and data can make institutions behave alike under stress, a concern examined in زیرەکی دەستکرد و مەترسی مۆدێلی دارایی at The Global Risks Alliance (GRA).

  5. 05

    Information and trust

    Generated content at scale affects the information environment and trust in institutions.

04How failures travel

Common modes and correlated errors.

Because many applications are built on the same foundation models, a flaw or vulnerability can appear simultaneously across sectors that otherwise share little. An update by one provider can change behaviour in thousands of downstream سیستەمە. Outages at a major cloud region can stop services that never knew they shared it.

Social effects travel more slowly but last longer. Errors concentrated on particular groups erode trust, and changes in work and skills reshape labour markets over years. See کاریگەری کار و کۆمەڵایەتی.

05ڕێگا

How dependencies are analysed.

The platform maps dependencies using system analysis, supply-chain mapping and incident studies, with ئەگەر و ئامار to express uncertainty and cybersecurity and cryptography for threat modelling. A dependency map is not a forecast: it shows how سیستەمە are connected and how failure could travel, and each link carries its evidence label. Governance responses are convened by حوکمڕانیی زیرەکی دەستکرد و دیجیتاڵ at The Global Risks Forum (GRF).

See میتۆد و نادڵنیایی.

06پرسیارەکان

پرسیار و وەڵام.

Why does concentration matter?
When many users depend on the same models, chips or cloud services, a single failure, vulnerability or policy change can affect them all at once.
How significant is AI’s energy use?
It is growing and locally significant where data centres cluster. Estimates vary widely with assumptions, so the platform reports ranges with their sources rather than single figures.
Are specific providers’ weaknesses published?
Not in a way that would enable harm. Vulnerabilities follow responsible disclosure, and public outputs describe classes of risk.
Who governs these dependencies?
Competent authorities and operators in each sector, under their own rules. Governance dialogue is convened through حوکمڕانیی زیرەکی دەستکرد و دیجیتاڵ at The Global Risks Forum (GRF); the platform supplies the evidence.
Reportsبەشداربە

لەم لاپەڕەیەوە بەڵگە پێشکەش بکە.

Reports is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.

GCRIزیرەکی دەستکرد و سیستەمە خۆسەرەکانتەکنەلۆجیای ئێکسپۆنێنشیاڵبەڵگەی Labs

هەرگیز داتای کەسی، وردەکاریی هەستیاری ژێرخان یان هیچ شتێک مەنێرە کە مافی بڵاوکردنەوەت نییە. بەشدارییەک پێش بەکارهێنان پێداچوونەوەی بۆ دەکرێت؛ ناردنی ماف نابەخشێت بە نووسەرایەتی یان بەڕێوەبردنی ڕاگەیاندن، و پاڵپشتی دارایی هەرگیز دۆزینەوەیەک ناکڕێت.

زیرەکی دەستکرد و سیستەمە خۆسەرەکان

ڕێگایەک، کۆمەڵە داتایەک یان پرسیارێک بهێنە.

زانیاری و پرسیار ئەمڕۆ کراوەن. پرسیارێک ژمارەی ئاماژەی پێدەدرێت و هەنگاوی دواتر دیاری دەکات؛ داواکاری، پارەدان، تەرخانکردنی کۆمپیوتەر و تۆمارکردن تەنیا کاتێک دەکرێنەوە کە تیم، مەرج و توانای پێداچوونەوەیان هەبێت.

ڕێگایەک پێشنیار بکە بینینی هەموو ڕێگاکانی پەیوەندی
یاسایی

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.