Регулирование и этика прикладного ИИ

A sector where an AI tool must satisfy requirements beyond business value: medicine, education, finance, occupational safety. Reproducibility, an explainable decision, auditability and a clear allocation of liability all matter there. IPIIR's line on the regulation and ethics of applied AI works on those sector-specific problems rather than on AI policy at large.

Through operating procedures and contractual obligations: what a vendor must document, which decision logs are retained, how the user's informed consent is recorded, and who answers for a system error. The line prepares methodological guidance and draft standards that sector regulators and service operators can adopt directly.

Yes, but only at the level of requirements and procedures: which obligations for AI systems are written into different jurisdictions, and how they are enforced. The Institute does not assess government policy; the comparison serves as a source of tested wording and procedures for Russian sector standards.

No, that is deliberately outside the line's scope. The work sits one level below the policy debate: sector requirements for AI systems, the operating practice of meeting them, and data ethics in fieldwork. The Institute proposes no framework wording and describes instead what specific industries already require.