Privacy & AI Compliance Policy

The 3CN (Curio News) platform is an independent, non-profit science communication and technological innovation project. The system aggregates papers from open international scientific repositories (such as arXiv) and distills them through AI language models to generate bilingual outreach summaries (Italian and English) alongside high-definition neural voice synthesis.

The platform operates with zero commercial intent, does not monetize content, serves no third-party advertisements, and never sells or transfers user data. For a full technical breakdown of our systems architecture and pipeline, please consult our Project Whitepaper & Technical Architecture.

In strict alignment with the principle of Privacy by Design and by Default established under Article 25 of the General Data Protection Regulation (GDPR - EU Regulation 2016/679), 3CN's technical architecture is engineered from the ground up to collect, process, and retain zero personal reader data:

• No User Accounts or Registration: Browsing news, searching the archive, and listening to neural audio tracks are fully open to all visitors without requiring authentication, email entry, or user profile creation.
• Zero Profiling or Third-Party Cookies: The website does not store tracking, marketing, or behavioral profiling cookies, nor does it integrate tracking pixels or invasive analytics libraries (zero Google Analytics, zero Meta Pixel).
• No Intrusive Cookie Banners Needed: Because no non-technical cookies or tracking mechanisms are used, pursuant to European Data Protection Board (EDPB) Guidelines and the ePrivacy Directive (2002/58/EC), no blocking consent banner is legally required.
• Ephemeral Network Server Logs: Web server infrastructure (IIS/Kestrel) records only ephemeral, standard technical connection logs (IP address, user agent, HTTP request timestamp) strictly necessary for TCP/IP packet routing and cybersecurity defenses (DDoS prevention). These logs are non-profiling, decoupled from physical identities, and cyclically purged.

Following the enactment of Regulation (EU) 2024/1689 (European AI Act), 3CN has proactively fulfilled all transparency, human governance, and risk mitigation requirements for Limited Risk AI Systems / General Purpose AI (GPAI):

• AI Labeling & Algorithmic Transparency (Art. 50 AI Act): All summaries, headlines, and synthetic voices are clearly labeled with dedicated visual indicators (AI Summary badge, transparent LLM model identification, audio tags ✨ HD and 💻 TTS), alongside structured JSON-LD semantic metadata for search engines.
• Active Human Oversight (Human-in-the-Loop - Art. 14 AI Act): No AI-generated output is ever published autonomously. Every article must pass through the private Editorial Review Console for human validation, editing, or rejection.
• Hallucination & Bias Mitigation (Artt. 15 & 55 AI Act): The orchestrator prompt embeds an internal Reviewer step for objective self-evaluation (scientific rigor, clarity), coupled with expert human fact-checking.

The platform strictly respects intellectual property and the EU Digital Single Market Copyright Directive (Directive 2019/790/EU DSM):

• Open Access Ingestion & Fair Use: Content is harvested exclusively from open academic repositories and preprint servers (such as arXiv) operating under Creative Commons licenses (CC BY 4.0, CC0) or in the public domain.
• Moral Author Attribution: For every published piece, 3CN preserves and prominently showcases full credits to original authors (item.Authors), canonical permanent source links, and clear license tags.
• Original Derivative Synthesis: Generated summaries represent original, educational re-elaborations structured to explain complex scientific papers without verbatim copying of source materials.

Although 3CN does not retain identifying personal data of visitors, you may contact us at any time under GDPR rights or as an author of original scientific work for clarifications, corrections, or content removal requests.