Short description

Research Institute – Digital Human Rights Center and SBA Research offer a specialist seminar addressing the pivotal security and legal concerns associated with artificial intelligence (AI). The seminar is tailored to companies and institutions engaged in the deployment or development of AI applications, with the objective of ensuring that their systems comply with both regulatory requirements and the highest security standards as well as advancing AI literacy among their staff.

The seminar focuses on threats to privacy and security in machine learning such as poisoning and inference attacks, and offers technical protections such as anonymisation, differential privacy, homomorphic encryption and other solutions. In addition, the specific legal framework, including the AI Act and the brand-new opinion of the European Data Protection Board on AI models, is explained. Practical examples and interactive exercises illustrate the implementation of the content in everyday working life. The seminar offers a unique learning opportunity to optimise the compliance and security of your AI systems by incorporating various approaches. It combines legal expertise with in-depth information security proficiency and provides practical knowledge that is directly applicable in a professional environment.

The AI Act explicitly requires providers and deployers of AI systems to take measures to ensure, to their best extent, a sufficient level of AI literacy of their staff. This seminar can make a significant contribution to achieving this.

Certification

The event is recognised by Austrian Standards as a further training event for recertification as a data protection officer.

Customer Service:

Questions about the seminar, booking or discounts?
Telephone: +43 1 524 3 524 – 0E-Mail: kontakt@researchinstitute.at

Details

From research to practice: In order to obtain the greatest benefits from AI systems while ensuring compliance with the highest cybersecurity and legal standards, it is of paramount importance to be equipped with the requisite competencies with regard to the system’s functioning, outputs and requirements (AI literacy). Therefore, Research Institute – Digital Human Rights Center and SBA Research offer a specialist seminar addressing the pivotal legal and security concerns associated with artificial intelligence (AI). This seminar is tailored to companies and institutions engaged in the deployment or development of AI applications, with the objective of ensuring that their systems comply with both regulatory requirements and the highest security standards as well as advancing AI literacy among their staff.

Content and main topics:

Threats to privacy and security: AI systems are vulnerable to specific privacy and security threats, which should be considered throughout their whole lifecycle. Such risks include poisoning and inference attacks targeting integrity, availability and confidentiality of the AI system. You will learn how to understand and assess these threats.Technical defence mechanisms: The seminar offers insights into proven technical measures to protect AI systems from security and privacy threats. You will gain an understanding of privacy-preserving techniques such as anonymisation, synthetic data generation, differential privacy and approaches to improving the robustness of Machine Learning (ML) algorithms.Practical examples and interactive exercises: These are used to illustrate how legal and security requirements can be implemented in practice. You will analyse specific use cases and develop solutions that are legally and technically sound.

The legal framework under the AI Act and the GDPR:
You will receive a comprehensive overview of the requirements of the recently adopted AI Act as well as the General Data Protection Regulation (GDPR). We will also address practical issues such as the legal classification of AI systems, the implementation of data protection principles, typical challenges when using large language models in your organisation (e.g. ChatGPT) and the implementation of combined impact assessments. The seminar offers a unique learning opportunity to optimise the compliance and security of your AI systems by incorporating various approaches. It combines legal expertise with in-depth information security proficiency and provides practical knowledge that is directly applicable in a professional environment.

Speakers

Anastasia Pustozerova

Anastasia Pustozerova is a researcher at SBA Research, with expertise in privacy and security of machine learning, particularly in federated learning and differential privacy. She holds a bachelor's degree in Applied Mathematics and Physics from St. Petersburg University and a joint master's degree in Computational Logic from TU Wien, TU Dresden and Free University of Bozen-Bolzano. Since 2020, Anastasia has been a lecturer at St. Pölten University of Applied Sciences, teaching a course on Federated Learning Privacy and Security. Anastasia is currently pursuing her PhD at TU Wien, focusing on addressing privacy threats and developing defence and mitigation strategies in federated learning.
Visit Anastasia Pustozerova's profile on SBA Research for more information.

Tanja Šarčević

Tanja received a bachelor´s degree in Computer Science from the University of Zagreb and a master´s degree in Logic and Computation at the TU Wien. She is currently working towards her PhD degree with the focus on ownership protection of data and machine learning models.
Tanja’s research interests focus on privacy-preserving data analysis, including techniques such as data anonymisation. Her research interests also include data and machine learning models leakage detection by mechanisms such as watermarking and fingerprinting, focusing on the robustness and effects on data utility for fingerprinting schemes.
Visit Tanja Šarčević’s profile on SBA Research for more information.

David M. Schneeberger

Dr. David M. Schneeberger, BA BA MA is Senior Researcher and Senior Consultant at the Research Institute – Digital Human Rights Center. He studied law, archaeology and ancient history and antiquity at the University of Graz and did his PhD on “The use of machine learning in administration: legal issues of the black box problem”. From 2019 to 2023, he worked as a university assistant in Graz (Institute for Public Law and Political Science) and Vienna (Institute for Constitutional and Administrative Law) at the chair of Prof. Karl Stöger and, alongside this, as a project staff member in the
team of Prof. Andreas Holzinger at the Institute for Medical Informatics, Statistics and Documentation at the Medical University of Graz. His research focuses on the digitalisation of state and medicine, in particular the use of artificial intelligence, fairness and explainable AI. He is a member of the European Law Institute (ELI), the Robotics & AI Law Society (RAILS) and was an associate member of the profile-forming area “smart regulation”.

Madeleine Müller

Dr Madeleine Müller, BA, MU is Senior Researcher and Consultant at the Research Institute – Digital Human Rights Center. She studied law and philosophy at the University of Vienna and at the Université Paris 1 Panthéon-Sorbonne and completed the Master’s programme ‘Political Philosophy’ at the Universitat Pompeu Fabra Barcelona. Her focus is on interdisciplinary research at the interface between law and the humanities as well as on the organisation and supervision of the Research Institute-Academy (RIAC) and network.fair.data.
Madeleine Müller

Walter Hötzendorfer

Dipl.-Ing. Dr Walter Hötzendorfer is Senior Researcher and Senior Consultant at the Research Institute – Digital Human Rights Center. He studied Business Informatics at TU Wien and Law at the Universities of Vienna and Sheffield, where he completed his doctorate on the topic of ‘Data Protection and Privacy by Design in Identity Management’. After working in legal consulting and software engineering, he was a researcher in the Legal Informatics working group at the University of Vienna from 2011 to 2016. Dr Hötzendorfer advises organisations of various types and sizes on the implementation of the GDPR, is a lecturer at universities in Austria and abroad and the author of numerous publications on data protection law, privacy engineering, network and information security (NIS) and related topics. He is also a board member of the Austrian Computer Society (OCG), co-leader of the OCG Forum Privacy and a member of the OCG Certification Committee.
Walter Hötzendorfer