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GCRI · Zîrekiya çêkirî û pergalên xweser

Dependencies and consequences

AI pergalan 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.

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01What AI depends on

Upstream dependencies.

Hesabkirin

Chips, data centres and cloud

Training and running large models depends on concentrated chip supply and a few cloud providers. See Hesabkirin û enerjî.

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.

02Çavdêrî bike

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.Nav û nirxên nimûneyî; sêwiran e, ne qeyd an pergaleke zindî ye.
03What depends on AI

Downstream consequences.

  1. 01

    Karûbarên giştî

    Automated decisions in benefits, health, policing or migration affect rights directly. See AI û xizmetên giştî.

  2. 02

    Infrastructure and operations

    AI in grid management, logistics and industrial control can propagate errors into physical pergalandarayî çi tê wateyê. Binêre Pergalên fîzîkî yên xweber.

  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

    Fînans

    Shared models and data can make institutions behave alike under stress, a concern examined in Xetera AI û modelên darayî 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 pergalan. 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 Bandorên kar û civakî.

05Rêbaz

How dependencies are analysed.

The platform maps dependencies using system analysis, supply-chain mapping and incident studies, with îhtîmal û statîstîk to express uncertainty and cybersecurity and cryptography for threat modelling. A dependency map is not a forecast: it shows how pergalan are connected and how failure could travel, and each link carries its evidence label. Governance responses are convened by Rêveberî: AI û ya dîjîtal at The Global Risks Forum (GRF).

See rêbaz û nediyarî.

06Pirs

Pirs û bersiv.

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 Rêveberî: AI û ya dîjîtal at The Global Risks Forum (GRF); the platform supplies the evidence.
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rêzeya Pergalên Stratejîk 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.

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