Responsible use
Deployment of algorithms that meets legal, public-value and technical standards.
Definitions (2)
A three‑pillar concept defined by the framework: (1) legal compliance (e.g., GDPR and sectoral law), (2) alignment with public values (transparency, accountability, non‑discrimination), and (3) technical robustness (security, reliability and resilience). It frames decision‑making and required measures across the lifecycle to ensure public‑sector algorithmic systems are used responsibly.
Deploying AI technologies with appropriate consumer protection safeguards, privacy preservation, transparency mechanisms, and meaningful human oversight to prevent manipulation or harm to consumers.
Related Terms
Responsible Use of AI
Ethical, transparent AI use that respects human rights....
ethical use
Practices respecting human rights, fairness, transparency, accountability....
Ethical, reliable and trustworthy AI
AI systems following transparency, accountability, fairness, privacy and safety....
human‑centred/trustworthy AI
Principles ensuring rights, transparency and safety in AI....
Responsible AI measures
Risk assessment, documentation and mitigation aligned with law....