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Workshop “Legal, societal and academic implications of Generative AI models"


Nowadays, various generative AI models are being developed and rolled out across the world. These models, especial Large Language Models are at the moment in the center of a broad public discussion of specialists from very different disciplines in science, but also from education, health, public administration, law makers and politicians. Also, non-specialists, just committed citizens participate in this discussion about the implications of these AI developments and their impact to society and human being. The focus of this Workshop is “Legal, societal and academic implications of Generative AI models”. This workshop will discuss the implications of such AI systems from a legal, societal and academic view-point. Issues regarding the use of generative AI models have been recently highlighted (for example, https://hbr.org/2023/04/generative-ai-has-an-intellectual-property-problem, https://www.nature.com/articles/d41586-023-01693-8, https://rse.org.uk/resources/resource/blog/the-socio-ethical-challenges-of-generative-ai/ ). Such issues need deeper discussions and possible exploration. The questions that this workshop intends to address are: “What are the implications on intellectual property rights? Can generative AI systems inadvertently perpetuate bias and discrimination? Can harmful effects to people and society be attributed to use of such systems? Would generative AI violate the copyright and trademark rights of the creators/source of data used for training? Can the use of such AI systems interfere with the quality of teaching and learning?”. Organizing such a workshop will help focus on some of the technological challenges, societal challenges and acceptance challenges of generative AI systems. We envisage two types of impact from the workshop – impact on the field of generative AI and impact on society and standards. The potential impact on the field of generative AI is that relevant challenges and techniques can be discussed and in-turn new focus areas may arise. The potential impact on society and standards is that in the context of such systems, need for new methods and experiments to address specific problems may emerge. 

Workshop Agenda Friday 20th October 2023 CET time:

9:00 am – 9:15 am Opening  - Frederic Andres and  Steven Tanimoto
9:15 am – 9:50 am – Ruth Lewis  (Chair, IEEE Society for Social Implications of Technology, Standards Committee Australia)    - "Responsible Generative AI using industry standards:  A use case"
9:50 am – 10:25 am  – Isabella Hinterleitner (Techmeetslegal, Austria) - "Legal challenges associated with Generative AI system"
10:25 am – 11:00 am – Matthew Hall (KIMEP) – "Modern, advanced, technologies, and the bounded limitlessness of gender-sexual violations: Considerations and challenges"

11:00 am – 11:15 am short break

11:15 – 11:50 – Gerlinde Weger () - "How Freedom is Undermined by GenAI and What to Do About it"
11:50 – 12:25 - Amit Sangroya (TCS)  – "Increasing the Transparency and Trustworthiness of AI in Health Care"
12:25 – 12:35 – Closing – Andreas Pester, C. Anantaram

The workshop is supported by the National Institute of Informatics (Tokyo), the International Association of Online Engineering (IAOE), the Bishop Heber College (Trichy, India), and the Faculty of Informatics and Computer Science of the British University in Egypt (BUE).

LEGACYGENAI2023 Workshop chairs: Prof. Andreas Pester, Dr. Hab. Frederic Andres, Dr. C. Anantaram, Prof. Rajkumar Kannan


Date and time: 20.10.2023, 9 am until 1:00 pm


Venue: Zoom


https://iso.zoom.us/j/97135043692?pwd=UDdiWC9zOS9CY0RONHNndnF6T1liUT09


passcode:  698857


contact: legacygenai2023@gmail.com