Anu Talus Chairwoman at European Data Protection Board

Anu Talus

Chairwoman

European Data Protection Board

Artificial Intelligence

About Me

EDPB CHAIR ANU TALUS BIO (UNDER 750 CHARACTERS SPACES INCLUDED) EN Anu Talus has served as the Finnish Information Commissioner since autumn 2020. She is the Head of the Office of the Information Commissioner (TSV) and the Chair of the European Data Protection Board (EDPB). Prior to her work at the IMY, Talus served as Senior Adviser at the Ministry of Justice for over ten years. At the Ministry of Justice she led the implementation of the GDPR in Finland and acted as representative of the Finnish government in the EU GDPR negotiations. Talus has also worked at the European Commission as Seconded National Expert. Talus holds a Doctor of Laws degree and a Master of Laws degree from the University of Helsinki and a Master of Arts degree from the University of Vaasa. FR Anu Talus est commissaire à l’information de Finlande (TSV) depuis l’automne 2020 et présidente du comité européen de la protection des données (CEPD) depuis Mai 2023. Avant de travailler à l’IMY, Anu Talus a été cons

Hear My Insights

From Words to Action: Exploring the Global Landscape of AI Regulation

The race to regulate AI is (still) on, with the U.S., Europe, China, and other global powers vying for leadership. This session dives into the diverse legislative approaches and practical implementations shaping the future of AI. We’ll explore how geopolitical alliances and rivalries influence the development and enforcement of these regulations, and the extent to which these varying regulatory frameworks are driving – or stifling? – innovation.

All-You-Can-Eat: Can You Balance AI’s Appetite for Data & Privacy?

The data privacy diet is a fluctuating one, that varies across time, regions, and adapts to (tech) disruptions. Data has proven to be one of our most valuable assets today – one whose protection varies from a legislation to another. But as regulations grow stricter, a potential data wall might emerge, threatening smaller startups' competitiveness and raising questions about shifting focus to application layers rather than LLMs. From the user perspective, building ethical AI is crucial, as current models may pose significant dangers. Understanding the origins of training data is equally important—where this data comes from directly impacts individual privacy rights. Parallels with the social media industry and its challenges around privacy offer interesting lessons. How can we reconcile increasingly strict privacy regulations with data-hungry business models while avoiding past pitfalls?