Engineering Data Protection in the wake of AI

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ENISA organizes 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 includes interventions from policy makers, supervisory authorities, private sector and academia and aims to facilitate interaction among all participants. 

Webinar Agenda

 TITLESPEAKERMODERATOR
09:15 – 09:30

Connection link open

 

 

09:30 – 09:45 

Welcome & Opening 

Prokopios Drogkaris (ENISA) 

 

09:45 – 10:05

Title TBC

Tatjana Evas (EC – AI Office)

Kostas Limniotis 

(Hellenic Data Protection Authority)

10:05 – 10:25

AI-Act preparedness in EUIs

Sonia Perez Romero (EDPS)

10:25 – 10:45

Title TBC

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)

 

Registration

To register for the webinar, please follow this link.

Data Protection Notice

To read the data protection notice, please follow this link.