Diversity and non-discrimination: Key elements of trustworthy AI

This interactive workshop explores key ethical dimensions of AI development, with a particular focus on diversity and non-discrimination. It is designed to support practitioners in critically reflecting on their own AI solutions and translating ethical principles into practical development processes.

In this 1.5-hour session, participants will engage with core concepts of diversity and non-discrimination within AI-ethics, while gaining practical tools to identify and address potential risks and challenges in their projects. The workshops aims at increasing an in-depth understanding where these concepts might occur and why it is beneficial to focus on them. 

Key topics include: 

• Introduction to AI ethical core concepts related to diversity and non-discrimination
• Ethical reflection in practice: Guided exercises to connect ethical considerations to participants’ own AI solutions
• Recognizing potential unintended consequences, and context-specific challenges
• Collaborative exchange in peer discussion of possible approaches for start-ups

Agenda & Content

1. Expert inputs on diversity and non-discrimination in AI ethics  
2. Interactive session: guided reflection exercises to explore challenges in this area in their projects   
3. Peer exchange and discussions 

Target audience, eligibility & prices

This workshop is designed for practitioners working on AI solutions, including developers, data scientists, and project stakeholders who are interested in reflecting on the ethical dimensions of diversity and non-discrimination in their work.

This course is open and free of charge for all participants from academia, industry, and public administration from EU and/or EuroHPC JU member countries.

Entry level & prerequisites

Basic – A basic understanding of AI concepts is beneficial.

Course format

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

Lecturers

Mag. Cornelia Reiter, Bakk. MA (AI Factory Austria AI:AT)  
Cornelia Reiter is a sociologist and scientist at the Center for Innovation Systems and Policy at AIT, as well as member of the AI Factory Ethics and Legal Team and the AIT AI Ethics Lab and lecturer at the Vienna University of Economics and Business. Her work focuses on AI ethics and the organizational integration of AI, particularly in industrial and organizational contexts. She specializes in responsible AI and examines how organizations adopt, structure, and govern AI technologies in practice. 

Rodrigo Conde Jiménez, B.A., MPA (AI Factory Austria AI:AT)                       
Rodrigo is a PhD researcher at the Center of Innovation Systems and Policy of the Austrian Institute of Technology. He holds a B.A. in International Relations from the Corvinus University of Budapest, as well as a Master of Public Administration from the Central European University. His work and research experience showcase his interests in technology regulation, as well as in the development and analysis of policymaking processes in the field of innovation and technology. Currently he is working in topics related to the governance of AI, and AI ethics, and is currently writing a dissertation on the multilevel governance of AI. 

Elisabeth Weissitsch, BA BA MA MA (Austrian Institute of Technology AIT)  
Elisabeth is a scientist in the research field Innovation Policy and Transformation at the Center for Innovation Systems and Policy. Her main areas of work include European governance, mission-oriented policy, (social) sustainability, and co-creation processes (especially for underrepresented groups). In her master’s she focused on the European crisis management and the study of transformation processes in Southeastern Europe under a cultural historical lense. She has extensive experience in workshop facilitation and an additional pedagogical background. She has worked for over 6 years in the field of inclusion, non-discrimination and diversity in NGOs and as an advisor and lecturer for inclusive pedagogy in the University of Vienna.

Language

English

Date, time, and location

18.05.2026, 11:00 – 12:30 (CEST), in-person 
AI Factory Austria AI:AT, Karl-Farkas-Gasse 22, 1030 Wien, Austria, Meeting Room: Jupiter 

Registration

Registration is required, the registration form can be found on top of this page in the menu on the left.

Please register with your official institutional email address to prove your affiliation.

Please do not hesitate to contact us at training@ai-at.eu if you have any questions.

Waitinglist

After the number of registrations has reached its maximum or the registration form has been closed, you may want to send us an email (training@ai-at.eu) stating that you are interested to be put on the waiting list (vacancies may occur due to cancelations, etc.).

Modification, withdrawal & no-show policy

Your registration is binding. Please only register for the course if you are really going to attend.

You can update your registration data or withdraw your registration anytime before the registration form has been closed via the link "Manage my registration" which you can find at the bottom of your automatic email confirmation (subject starting with "[Indico] Registration").

Alternatively, or after the registration form has been closed, please inform us about your cancelation or any change in your registration data (especially your mobile-phone number) via email (training@ai-at.eu).

No-show policy: If you do not cancel and do not show up at the course you will be blacklisted and excluded from future training events.

Organizers

This course is organized by AI Factory Austria AI:AT.

Acknowledgements

AI Factory Austria AI:AT has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101253078. The JU receives support from the Horizon Europe Programm of the European Union and Austria (BMIMI / FFG).