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SUMMARY:Diversity and non-discrimination: Key elements of trustworthy AI
DTSTART:20260929T133000Z
DTEND:20260929T150000Z
DTSTAMP:20260918T081200Z
UID:indico-event-367@events.asc.ac.at
CONTACT:training@ai-at.eu
DESCRIPTION:Start date:  29 September 2026\, 15:30 (CEST)   Entry level
 :  BasicEnd date:  29 September 2026\, 17:00 (CEST)   Subject area:  
 Artificial Intelligence (AI)Location:  AI Factory Austria AI:AT   Topic
 s:  AI Ethics Language:  English     Target audience:  Start-ups P
 rice:  Free (for eligible participants)     Organizers:  AI:ATThis in
 teractive workshop explores key ethical dimensions of AI development\, wit
 h a particular focus on diversity and non-discrimination. It is designed t
 o support practitioners in critically reflecting on their own AI solutions
  and translating ethical principles into practical development processes.I
 n this 1.5-hour session\, participants will engage with core concepts of d
 iversity and non-discrimination within AI-ethics\, while gaining practical
  tools to identify and address potential risks and challenges in their pro
 jects. The workshops aims at increasing an in-depth understanding where th
 ese concepts might occur and why it is beneficial to focus on them. Key t
 opics include: Introduction to AI ethical core concepts related to divers
 ity and non-discriminationEthical reflection in practice: Guided exercises
  to connect ethical considerations to participants’ own AI solutionsReco
 gnizing potential unintended consequences\, and context-specific challenge
 sCollaborative exchange in peer discussion of possible approaches for star
 t-upsAgenda & Content1. Expert inputs on diversity and non-discrimination 
 in AI ethics  2. Interactive session: guided reflection exercises to exp
 lore challenges in this area in their projects   3. Peer exchange and d
 iscussions Target audience\, eligibility & pricesThis workshop is designe
 d 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.T
 his course is open and free of charge for all participants from academia\,
  industry\, and public administration from EU and/or EuroHPC JU member cou
 ntries.Entry level & prerequisitesBasic – A basic understanding of AI co
 ncepts is beneficial.Course formatThis course will be delivered as an in-p
 erson interactive session.LecturersRodrigo Conde Jiménez\, B.A.\, MPA (AI
  Factory Austria AI:AT)                       Rodri
 go is a PhD researcher at the Center of Innovation Systems and Policy of t
 he Austrian Institute of Technology. He holds a B.A. in International Rela
 tions from the Corvinus University of Budapest\, as well as a Master of Pu
 blic Administration from the Central European University. His work and res
 earch 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 t
 o the governance of AI\, and AI ethics\, and is currently writing a disser
 tation on the multilevel governance of AI. Pia Weinlinger\, MA (Austrian 
 Institute of Technology AIT)  Pia Weinlinger  is Expert Advisor at AIT 
 Austrian Institute of Technology and a member of the AI Ethics Lab at the 
 Center for Innovation Systems and Policy. She holds a master’s degree in
  science\, Technology and Society Studies (STS) with a focus on governance
 \, innovation\, and sustainability. Her work is situated at the intersecti
 on of technology\, society\, and governance. Her research includes AI ethi
 cs\, Responsible Research and Innovation (RRI)\, and the analysis of the s
 ocietal impacts of digital technologies. In addition\, she evaluates resea
 rch and innovation funding instruments\, supports public institutions and 
 private organisations in developing responsible AI systems\, and teaches a
 t the Federal Academy of Public Administration.Giulia Bianchi (AIT Austria
 n Institute of Technology GmbH)       Giulia Bianchi is a Research 
 Engineer at AIT Austrian Institute of Technology\, where she leads the Mac
 hine Learning Group within the AI Task Force. With a background spanning l
 inguistics and AI\, she develops LLM-based systems including digital twins
 \, chatbots\, and knowledge extraction tools. Her work focuses on ensuring
  AI systems are not only technically robust but also fair and contextually
  appropriate across different user groups.LanguageEnglishDate\, time\, and
  location29.09.2026\, 15:30 – 17:00 (CEST)\, in-person AI Factory Austr
 ia AI:AT\, Karl-Farkas-Gasse 22\, 1030 Wien\, Austria\, Meeting Room: Jupi
 ter RegistrationRegistration is required\, the registration form can be f
 ound 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.
 WaitinglistAfter the number of registrations has reached its maximum or th
 e registration form has been closed\, you may want to send us an email (tr
 aining@ai-at.eu) stating that you are interested to be put on the waiting 
 list (vacancies may occur due to cancelations\, etc.).Modification\, withd
 rawal & no-show policyYour registration is binding. Please only register f
 or the course if you are really going to attend.You can update your regist
 ration data or withdraw your registration anytime before the registration 
 form has been closed via the link "Manage my registration" which you can f
 ind at the bottom of your automatic email confirmation (subject starting w
 ith "[Indico] Registration").Alternatively\, or after the registration for
 m 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 u
 p at the course you will be blacklisted and excluded from future training 
 events.OrganizersThis course is organized by AI Factory Austria AI:AT.Ackn
 owledgementsAI Factory Austria AI:AT has received funding from the Europea
 n 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). \n\nhttps://events.asc.ac.a
 t/event/367/
LOCATION:Jupiter (AI Factory Austria AI:AT)
URL:https://events.asc.ac.at/event/367/
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