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GCRI · Kecerdasan Buatan dan Sistem Otonom

Ketergantungan dan konsekuensi

AI sistem 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.

Komputasi

Chips, data centres and cloud

Training and running large models depends on concentrated chip supply and a few cloud providers. See Komputasi dan energi.

Energi dan air

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.

02Pantau

Ikhtisar bidang.

Layar yang akan digunakan sebuah tim untuk mengikuti subjek ini: ukuran, status, dan keputusannya. Nama adalah contoh dan nilai bersifat ilustratif.

Field overview: the screen’s structure, terms and states for AI and autonomous systems.Nama contoh dan nilai ilustratif; sebuah rancangan, bukan catatan atau sistem yang aktif.
03What depends on AI

Downstream consequences.

  1. 01

    Public services

    Automated decisions in benefits, health, policing or migration affect rights directly. See AI dan layanan publik.

  2. 02

    Infrastructure and operations

    AI in grid management, logistics and industrial control can propagate errors into physical sistemkeuangan. Lihat Sistem fisik otonom.

  3. 03

    Keamanan

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

  4. 04

    Keuangan

    Shared models and data can make institutions behave alike under stress, a concern examined in Risiko AI dan Model Keuangan 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 sistem. 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 Dampak ketenagakerjaan dan sosial.

05Metode

How dependencies are analysed.

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

Lihat metode dan ketidakpastian.

06Pertanyaan

Tanya jawab.

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 Tata Kelola AI dan Digital at The Global Risks Forum (GRF); the platform supplies the evidence.
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Laporan 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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