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Anonymous and AI-generated information requests: risks for institutions - a case study of Nova SBE
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This thesis uses Nova SBE as an example to examine how public bodies respond to anonymous
and artificial intelligence-generated environmental-information requests. Grounded in EU
transparency law (Aarhus Convention; Directive 2003/4/EC) and Advocate General Medina's
opinion in Case C-129/24, it combines doctrinal analysis with a convenience survey of forty
respondents (students, staff and outside stakeholders). Citing overload and privacy concerns,
participants rate AI-generated requests as notably riskier than conventional anonymous requests
(median 4 vs 3, p < 0.05). To protect institutional resilience while maintaining the right of
access, the paper suggests statutory clarification, rate-limiting, conditional identity checks.
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Aarhus Convention AI-generated requests Anonymous information requests Artificial Intelligence Data protection Digital information management Digital requests Directive 2003/4/EC EU law Future developments Governance Information request automation Institutional misuse Institutional risks Nova SBE Public institutions Regulatory compliance Risk assessment Transparency