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GRF · هوش مصنوعی و حکمرانی دیجیتال

مسائل انضباطی و نهادی

AI and digital governance is the study and practice of how institutions direct, control and answer for AI and digital سامانه‌های. It draws on law, public administration, computer science, ethics and risk management. Its significance has grown as AI moves from research into public services and as digital identity, payments and data exchange become infrastructure. This page defines the field and the institutional issues it raises; صفحهٔ اصلی AI and Digital Governance links to the topics.

روش‌های STEM
4
روش‌های مرجعی که این حوزه به کار می‌بندد
موضوع‌ها
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صفحه‌های موضوعی این حوزه
همتاها
10
سکوها در حوزه‌های مشترک سراسر شبکه
مجموعه‌گزارش
2
مجموعه‌گزارش‌هایی که در آن‌ها مشارکت دارد
01The discipline

Governance across the lifecycle.

Governance applies at every stage of a system’s life: deciding whether to use AI at all, specifying requirements, procuring or building, testing before deployment, monitoring in use, handling complaints and incidents, and retiring the system. Each stage needs named roles, documented decisions and checks by someone independent of those who built or bought the system.

The field distinguishes several layers. Organisational governance covers internal roles, policies and oversight. Regulatory governance covers laws, standards and supervisors. Societal governance covers public deliberation, civil society scrutiny and courts. International governance covers cooperation between states and the interoperability of their rules.

02پایش

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 digital governance.نام‌های نمونه و مقادیر گویا؛ یک طرح، نه یک سابقه یا سامانهٔ زنده.
03Institutional issues

Problems institutions face.

Opacity

Hard to inspect

Complex models and proprietary سامانه‌های make it hard to explain decisions or find errors.

ظرفیت

Skills gaps

Many public bodies lack staff who can specify, test and oversee AI systems.

Dependency

Concentrated suppliers

Reliance on a few providers for models, cloud and software limits control and bargaining power.

04Significance

Why governance determines outcomes.

The same AI system can be beneficial or harmful depending on how it is governed: whether people can contest its outputs, whether errors are monitored and whether someone is accountable. Well-documented failures of automated public سامانه‌های have generally been failures of governance as much as of technology: no human review, no route to complain, no one watching the error rates.

05Connections

Where the field connects across the Consortium.

در Global Centre for Risk and Innovation (GCRI)، هوش مصنوعی و سامانه‌های خودگردان and Future of Work and Skills study AI’s technical and labour dimensions. At GRF, Policy Nexus convenes on policy design. At Global Risks Alliance (GRA), Fintech Nexus builds shared industry understanding of digital finance. The decision-rights context sets out who decides.

06صفحه‌ها

Pages in Discipline and institutional issues.

07پرسش‌ها

پرسش و پاسخ.

Is AI governance the same as AI regulation?
No. Regulation is one part. Governance also includes internal organisational controls, standards, public scrutiny and international cooperation.
Which methods does the platform draw on?
AI and machine learning, AI assurance, digital identity and policy science, described on the STEM foundation page.
Does the platform cover private-sector AI?
It focuses on institutional and public uses, and on private systems where they affect public infrastructure or rights.
Why compare institutions rather than recommend a model?
Because legal systems, administrative traditions and capacities differ. Seeing how several institutions solved the same problem, and what went wrong, is more useful than a single template.
گزارش‌هامشارکت

از همین صفحه شواهد بیفزایید.

گزارش‌ها 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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