Ethics, Privacy and Fairness in AI

[THESIS REQUEST AVAILABLE]

Ethics, privacy and fairness are (finally) raising more and more concerns within the Artificial Intelligence community. Working on these topics implies contributing to the development of a more trustworthy AI.

Available Theses

  • Detection of Deep Fake and fake news in text, images, video and social media contents​
  • Bullying and Cyberbullying detection (part of the “Bullybuster” project, PRIN 2017 – Prot. 2017JYWF7P, CUP: E24I19000590001​)
  • Adversarial learning and perturbation in safety and security critical applications​
  • eXplainable AI for and against AI trustworthiness​
  • Generative Adversarial Networks (GAN) for data generation, domain adaptation and style transfer in text, pictures and videos ​

In progress

Project & Collaborations

References

  • Carlo Sansone, Full Professor (This email address is being protected from spambots. You need JavaScript enabled to view it.)
  • Stefano Marrone, PhD (This email address is being protected from spambots. You need JavaScript enabled to view it.)