Webinar LIVE

Monday, June 14, 2021 ( 4:30 pm - 5:30 pm CET)

WEBINAR
Can we trust artificial intelligence? Trust, ethics, and regulation of a revolutionary technology

The meeting will be available only in Italian

The development and spread of AI are exponential by now, but while the applications of this technology are becoming increasingly effective, they also raise new and not simple questions of ethical and social nature.
Does artificial intelligence have to follow ethical principles? Can machines share our human values? How can we make a purely digital ecosystem ethical?
More and more people are asking these questions to ensure a more ethical (and humane) approach to artificial intelligence, which is now widespread in a wide range of fields from healthcare to financial services, from the automotive sector to the legal one. Careful regulation of artificial intelligence is therefore needed, which can lead people to trust AI.
And these principles need to be adopted first and foremost by companies (whether they are producers or users of AI), which is the only way to make them a reality.
During the webinar, the following points will be analyzed:
  • how to make the AI ecosystem reliable
  • how to develop trust in AI: bias, explainability, and transparency
  • regulating AI applications, without limiting competitiveness
  • the evolution of artificial intelligence in the coming years.

Program

Monday, June 14, 2021
4:30 pm - 5 pm CET
Speech by Francesca Rossi
5 pm - 5:30 pm CET
Discussion

Francesca Rossi

Francesca  Rossi

IBM AI Ethics Global Leader

One of the world's leading experts on Artificial Intelligence, she is a researcher at Watson IBM Research Lab in New York and she has been a member of the European Commission High-Level Expert Group on AI for drafting the guidelines on artificial intelligence ethics.
Her research interests focus on constrained reasoning, preferences, multi-agent systems, computational social choice, and collective decision making, as well as on ethical issues related to the development of AI systems, in particular for decision support systems. On these topics, she has published over 200 scientific articles in journals and conference proceedings.