Journal of Artificial Intelligence and Digital Health

Alberto Nico is a lawyer and AI governance specialist focusing on algorithmic accountability in high-risk data processing, particularly in public services and digital health. He is a PhD candidate in Law at the University of Bari “A. Moro”, where his doctoral research examines Artificial Intelligence and Intellectual Property, with a specific interest in generative AI, authorship, and the governance of AI-driven decision-support systems. He currently serves as data protection officer, legal consultant and AI governance specialist for several private and public bodies. He is also researcher for Italian private AI R&D institute. In these roles, he designs and reviews governance frameworks, DPIAs, and risk-mitigation strategies for AI systems handling sensitive, biometric, and health data, ensuring compliance with GDPR and alignment with human-rights standards (non-discrimination, privacy, and effective remedy). Alberto has authored a monograph and several peer-reviewed publications on AI and intellectual property, ethical-legal principles for AI-based educational assessment, and the regulation of generative AI. He also contributes as an IP and new-technology expert in European initiatives on transforming health and care systems, promoting trustworthy, rights-based AI and data governance in digital health ecosystems.

• AI Governance & Policy
• Algorithmic Accountability
• Intellectual Property & AI
• Ethical AI Standards and Risk Assessment

1. Legal consultancy on AI regulation in cultural and creative industries

2. Conducting DPIAs and risk assessments for AI systems handling sensitive data

3. Drafting governance playbooks and mitigation strategies

4. Supporting EU-funded projects (Erasmus+, digital transformation initiatives)

5. Participating in Informatics Commissions and AI-focused associations

6. Co-founder of AI-related professional associations (EthicAI, Global Professionals for AI)

1. Delegated Authority and Algorithmic Power: A Rapid Review of Ethical Issues in AI-Based Educational Assessment

2. Educational Assessment in the Age of AI: Ethical-Legal Principles for Trustworthy Systems

3. Hybridising Human and AI Judgement: Legal Theories for Educational Assessment

4. Generative AI and Authorship: Legal Challenges and the Role of Opt-Out Clauses

5. Artificial Intelligence: Moral Rights and the Designation of Inventors

6. Artificial Intelligence and Intellectual Property

7. The Rights of Foreigners