GCRI · Innovation and technological change
Responsible technology
Responsible technology is safe, serves people well, keeps humans in control of consequential decisions, is accessible and respects rights. The Global Centre for Risk and Innovation (GCRI) applies these principles in its own work, including Foundry, and studies how institutions apply them to what they adopt. The principles, their use and their limits are below. Part of innovation and technological change.
Responsible technology on the record.
- 01InstitutionThe Global Centre for Risk and Innovation (GCRI)
- 02Five principlesWhat responsible technology asks for
- 03InstrumentsThe instruments that give the principles their content
- 04GCRI’s partApplying the principles inside the programme, and reporting where they fall short
- 05In GCRI’s own workHow the principles apply inside the programme
- 06LimitsPrinciples are not a certificate
- 07SourcesWhere this page’s references lead
What responsible technology asks for.
Tested before trusted
Systems are evaluated in controlled conditions with stop rules before they touch real services.
Humans decide
Consequential decisions stay with accountable people, and analysis is never presented as the decision.
Privacy and consent
Personal data and protected knowledge are used only with a lawful basis, a stated purpose and consent where required.
- Social outcomes: who benefits, who bears the risk and who is left out are part of every evaluation
- Accessibility: interfaces and outputs are designed so that people with disabilities can use them
The instruments that give the principles their content.
| Principle | Instrument it draws on | What it requires in practice |
|---|---|---|
| Human rights | UN Guiding Principles on Business and Human Rights (2011); Council of Europe AI convention (2024) | Human rights due diligence before and during deployment |
| Human oversight | EU AI Act provisions on human oversight of high-risk systems; UNESCO Recommendation (2021) | A named person able to understand, override and stop the system |
| Risk management | NIST AI RMF 1.0 (2023) and its Generative AI Profile (2024); ISO/IEC 42001:2023 | Documented mapping, measurement and management of AI risks |
| Accessibility | WCAG 2.2 (W3C, 2023) | Interfaces usable by people with disabilities, tested with them |
| Biosafety and biosecurity | WHO guidance framework (2022); Biological Weapons Convention | Risk assessment of dual-use research before it starts |
Applying the principles inside the programme, and reporting where they fall short.
GCRI applies these instruments to its own systems, including Foundry, and reports gaps it finds in its own practice. Lessons are designed for the Exponential Technology series; AI components used in the programme would carry model cards and dataset sheets under NS-12 of the proposed Nexus Standards. Anyone can report a concern about how a GCRI system treats people, without an account.
How the principles apply inside the programme.
- 01
Evidence labels
Every result says whether it is observed, modelled, a scenario or expert judgement, so automated outputs cannot pass as observation.
- 02
Controlled exercises
Simulated warnings never reach live audiences, and real infrastructure is never an unapproved target.
- 03
Release is not deployment
A tested configuration is not authorisation to use it in operation; that decision belongs to the operator or authority.
- 04
Correction and challenge
Anyone can challenge a public finding, as set out under scientific and editorial integrity.
Principles are not a certificate.
GCRI does not certify that a technology is responsible, safe or compliant with any law or standard. It publishes evaluations with their scope and limits. The Global Risks Forum (GRF) examines how institutions govern AI and digital systems under digital and AI governance. GCRI’s own data handling is under data and privacy responsibilities. See also technology assessment.
Where this page’s references lead.
The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.
- UN Guiding Principles on Business and Human Rights (OHCHR, 2011)
- Council of Europe Framework Convention on Artificial Intelligence and Human Rights, Democracy and the Rule of Law (CETS No. 225, 2024)
- Regulation (EU) 2024/1689, the Artificial Intelligence Act
- UNESCO Recommendation on the Ethics of Artificial Intelligence (UNESCO, 2021)
- NIST AI Risk Management Framework 1.0 (NIST AI 100-1, 2023) and the Generative AI Profile (NIST AI 600-1, 2024)
- ISO/IEC 42001:2023 Artificial intelligence management system (ISO)
- Web Content Accessibility Guidelines 2.2 (W3C Recommendation, 2023)
- WHO Global guidance framework for the responsible use of the life sciences (WHO, 2022)
Questions and answers.
Does GCRI follow a particular AI framework?
Can GCRI review my organisation’s AI system?
What does human oversight mean in practice?
How is accessibility handled on GCRI sites?
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