This is the home page of a Ph.D. level course offered at the National Ph.D. in AI - Society. The course presents technologies enabling the design and development of Responbile Artificial Intelligent (AI) systems. In particular, it first introduces notions of privacy, anonymity, transparency, fairness, and uncertainty in AI considering the Euroepan legal framework and how they can be modelled for enabling the developement of methods for quantitatively assessing the AI system vulnerabilities and trustworthiness and for mitigating the identified risks and unethical behaviour. The course then presents technologies for implementing the privacy-by-design principle, for auditing AI-based predictive models, and for the protection of users rights with the goal of enabling explanable, pribacy-aware, fairness-aware and self-assessed uncertainty AI models.

• Anna Monreale
  • Università di Pisa
  • https://pages.di.unipi.it/amonreale/
  • anna [dot] monreale [at] unipi [dot] it

• * Francesca Naretto
  • Università di Pisa
  • francesca [dot] naretto [at] unipi [dot] it

• Salvatore Ruggieri
  • Università di Pisa
  • http://pages.di.unipi.it/ruggieri/
  • salvatore [dot] ruggieri [at] unipi [dot] it

The course will be offered in one week to be fixed in the period March 2025 - July 2025. A Teams channel will be used to post news, notes, Q&A, and other stuff related to the course. The lectures will be live-streamed and recorded.

IMPORTANT: the actual days of the course will be published here in February 2025.

Ph.D. students may do an exam in the form of a report on an advanced topic/survey to be agreed upon. The topic is typically related/relevant to the objectives of the Ph.D. studies of the student.