ENISA organized a webinar aiming to discuss the latest developments and considerations on engineering personal data protection in the AI era.
ENISA is focusing its efforts on how to engineer data protection in practice and and organizes a webinar together with the members of the relevant Ad Hoc Working Group on Data Protection Engineering, aiming to discuss the latest developments and considerations on engineering personal data protection in the AI era and the AI Act.
The webinar included interventions from policy makers, supervisory authorities, private sector and academia and aimed to facilitate interaction among all participants.
Webinar Agenda
TITLE | SPEAKER | MODERATOR | |
---|---|---|---|
09:15 – 09:30 | Connection link open |
|
|
09:30 – 09:45 | Welcome & Opening | Prokopios Drogkaris (ENISA) |
|
09:45 – 10:05 | The EU AI Act and cybersecurity | Laura Jugel (EC – AI Office) | Kostas Limniotis (Hellenic Data Protection Authority) |
10:05 – 10:25 | Emanuele Parisini (EDPS) | ||
10:25 – 10:45 | Diletta De Cicco (EDPB) Amandine Jambert (EDPB) | ||
10:45 – 11:30 | The Never Ending Story: A Lifecycle Approach to AI Risk Management | Isabel Barbera (Rhite) | Fernando Luis Pocas da Silva (European Parliament) |
11:30 – 12:15 | Data Subject Rights and Machine Learning Models - When, Why, and How? | Meiko Jensen (Karlstad University) | Marta Fydrych-Gasowska (Akamai) |
12:15 - 12:30 | Conclusions | Prokopios Drogkaris (ENISA) |
|
Presentations
The presentations delivered during the webinar are available within the agenda above through the relevant hyperlinks.
Please note that the webinar was not recorded.
Data Protection Notice
To read the data protection notice, please follow this link.