Geopolitical Brief
The Shifting Regulatory Landscape in CEE Energy Markets
This report maps the regulatory, ethical and corporate governance landscape around artificial intelligence - treating AI not as a neutral productivity tool but as a risk area for fundamental rights, equality, transparency and accountability.
Risk Classification & High-Risk Domains
It covers the EU's risk-based classification of AI applications (with focus on high-risk domains: employment, education, credit, public services, law enforcement, migration, justice), accessibility requirements for persons with disabilities under international frameworks, and the AI literacy obligation placed on both providers and deployers.
AI as an ESG Issue
The report positions AI as a cross-cutting ESG topic: social (discrimination, labour conditions, service access), governance (audit, compliance, organisational responsibility for algorithmic decisions), and environmental (energy consumption of data centres and AI infrastructure).
Applicable Legislative Stack
It inventories the applicable EU legislative stack — from GDPR's automated decision-making provisions through the Digital Services Act, AI Act and Platform Workers Directive to the ESG reporting and due diligence framework (CSRD, ESRS, CSDDD and the "stop-the-clock" directive), as well as the European Health Data Space regulation.
International Normative Frameworks
International reference points include UNESCO's AI ethics recommendation, OECD AI principles, the Council of Europe AI convention, and guidance from OHCHR, WHO, World Bank and IEA.
Data Coverage
EU regulation numbers and application timelines
Risk categories and compliance obligations
International normative frameworks
Organisational governance requirements