OT-AIAT 19
 Workshop Trustworthy AI: Privacy and Data Protection – Ethical and Legal Perspectives

Zielgruppe

This workshop is designed for practitioners using and working on AI solutions, including developers, data scientists, compliance officers, data protection officers, and project stakeholders – including users from the broader public – who are interested in reflecting on privacy and data protection in AI.

This webinar is open and free of charge for all participants from academia, industry, and public administration fromEUand/orEuroHPC JUmember countries.

Inhalt und Ziele

Privacy and data protection are key elements of Trustworthy AI. They raise practical questions that are highly relevant for actors developing, deploying or using AI systems: How can personal data be processed lawfully throughout the AI lifecycle? When do GDPR principles such as purpose limitation, data minimisation and transparency become challenging in AI contexts? How can responsibilities, accountability and technical–organisational measures be designed in practice? And what do recent legislative changes – notably under the Digital Omnibus on AI – mean for organisations that process personal data to develop, train or operate AI systems?

In this interactive 2-hour session, we will explore privacy and data protection in the context of Trustworthy AI. Participants will work with their own AI or pre-selected use cases and reflect on approaches to compliant data processing, risk assessment and privacy-by-design – including how to assess and apply the new Omnibus easements in practice.

Key topics include:

  • Privacy and data protection as core elements of Trustworthy AI
  • GDPR requirements for AI development, training, deployment and use
  • Lawful bases, purpose limitation, data minimisation and transparency in AI contexts
  • Bias detection and correction: processing of special categories of personal data where strictly necessary to detect and correct bias, under the conditions set out in the Digital Omnibus on AI / AI Act amendments
  • Data Protection Impact Assessments (DPIAs) and risk-oriented approaches for AI systems
  • Privacy by design and by default: organisational and technical measures in practice
  • Peer exchange on practical implementation challenges
  • Risks of inadequate data protection in AI projects

Important:Participants are asked to bring a concrete AI use case from their own work or project context. This use case will serve as the basis for the interactive exercise and peer discussion during the workshop. There will be pre-selected use cases available for those participants not bringing a case with them.

Agenda & Content

  • Welcome, introduction round and workshop goals
  • Short input: Privacy and data protection as key elements of Trustworthy AI
  • Input: Digital Omnibus easements – legitimate interest for AI, residual special-category data, and bias detection
  • Interactive activity: Privacy and data protection in action (use-case work)
  • Input: From principles to practice – DPIAs, privacy by design, and accountability
  • Peer discussion: implementation challenges and mitigation strategies
  • Feedback and closing

Trainer

Zeit und Ort

Seminarnummer:
OT-AIAT 19
Trainingsform:
Online-Tr. / Webinar
Dauer:
1 Tag(e) (1,5 Stunden)
Termin:
22.10.2026
Stundenplan:
10:00 - 11:30
Ort:
Online

Anmerkungen

Entry level & prerequisites

No specific prerequisites are required. A basic understanding of AI concepts and familiarity with data protection principles is beneficial.

Course format

This workshop will be delivered as an in-person interactive session.

Language

English

Speakers

Peter Biegelbauer (AI Factory Austria AI:AT Legal & Ethics team)

PD Mag. Dr. Peter Biegelbauer, S.M., is responsible for ethics at the AI Factory Austria AI:AT. He is a Senior Scientist at the Center for Innovation Systems & Policy at the AIT Austrian Institute of Technology in Vienna. Peter Biegelbauer heads the AIT AI Ethics Lab, which deals with the ethical aspects of artificial intelligence and responsible innovation and has published the “Guide to Digital Administration: AI, Ethics, and Law” on behalf of the Federal Chancellery. He is also deputy head of the AIT AI Taskforce, which aims to integrate AI solutions into the AIT. Peter Biegelbauer has published more than a hundred articles on policy analysis, policy evaluation, responsible innovation, knowledge and experience in decision-making, impact assessment, and opportunities for learning from experience.

Michael Löffler (AI Factory Austria AI:AT Legal & Ethics team)

DI Michael Löffler is a computer scientist currently studying law. At AI Factory Austria AI:AT, he coordinates Law, Ethics, and Regulation. He has been working on issues at the intersection of technology and law for more than 17 years. During this time, he worked for renowned law firms, served as the Data Protection Officer (DPO) and Chief Information Security Officer (CISO) of the AIT Austrian Institute of Technology – Austria’s largest non-university research institution – and conducted research on digital fundamental rights. As an editorial board member of the journal Datenschutz konkret (Dako), he continuously publishes on data protection issues and is involved in training data protection officers in collaboration with Business Circle.

Organisation

Seminarleitung:
Buchwinkler David BA MA
Sekretariat:
Fröhlich Elisabeth