CfR: Virtual Ethical Innovation Lecture Series: May-July: V. Sikimić (Eidhoven), M. Gottschling (Tübingen), and A. Vučković (Belgrade)

=== Call for Registration 
We are excited to invite you to participate in our upcoming Virtual Ethical Innovation Lecture Series hosted by the Ethical Innovation Hub of the University of Lübeck, Germany. 
This lecture series will feature a diverse lineup of speakers addressing critical topics at the intersection of ethics and innovation with a particular focus on issues of artificial intelligence. 

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Participation is free

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Event Details:
This series allows for participation in individual lectures, so you can choose the topics most relevant to you. Each session consists of a short talk and a pen Q&A session. 
Full abstracts to be found below.

= 2024/05/14 – Vlasta Sikimić (Eindhoven University of Technology), 13:00 – 13:45 (CEST)   “Is AI to be used in grant review”

= 2024/06/04 Markus Gottschling (Universität Tübingen), 13:00 – 13:45 (CEST)  “Persuasive Machines and the Rhetoric of Generative AI”

= 2024/07/09 – Aleksandra Vučković (University of Belgrade), 13:00 – 13:45 (CEST)  “Can AI Contribute to Fairness in Education?”

We look forward to your participation in what promises to be an enlightening and thought-provoking series! 
It is aimed at philosophical interested practitioners but open to philosophers and interested public as well. 

Learn More About Us
For more information about our group and our activities, please visit our website:

Best regards,
The Ethical Innovation Hub Team

== Full abstracts: 
Title: Is AI to be used in grant review?
By Vlasta Sikimić (Eindhoven University of Technology)
Abstract: The existing peer review system for scientific grants is criticized for being costly, time-intensive, and unreliable. Could AI be the solution, i.e., could AI be successfully employed in grant review? On the one hand, AI is a fast and cheap method that can even be trained using the preferences of peer reviewers. On the other hand, transitioning to automated grant review poses significant epistemic and ethical hurdles. The epistemic challenges include qualitative assessments of data and making appropriate parameter selections, while the ethical concerns include the accuracy and transparency of automated grant evaluation. We will argue against fully automating the grant review process, highlighting the risk of neglecting important values in science, such as diversity of thoughts and epistemic inclusion.

Title: Persuasive Machines and the Rhetoric of Generative AI
By Markus Gottschling (Universität Tübingen)
Abstract: The growing influence of generative AI on communication requires a nuanced understanding of its impact. While these tools promise to increase efficiency and audience engagement, concerns about authenticity and potential misuse persist. As AI co-creates content, questions of authorship, originality, and ethical boundaries arise. This talk will explore the rhetorical strategies employed by AI, the ethical considerations of language models, and their evolving capacity for understanding and persuasion within the communications landscape. 

Title: Can AI Contribute to Fairness in Education?
By: Aleksandra Vučković (University of Belgrade)
Abstract: When we discuss AI implementation in education, we often think about predictive models that indicate the individual’s progress in the educational system. On top of that, another type of AI – large language models (LLMs) – has recently gained attention in the debates on education due to the concerns regarding students’ potential overreliance on ChatGPT and similar software. We analyze these technologies in a somewhat different context and reason they could contribute to a more wholesome approach to education or, more precisely, one that is governed by the principles of equity and inclusion. If properly introduced, predictive models and LLMs could significantly improve the process of gaining knowledge and contribute to fairness in teaching and grading. Moreover, personalized curriculums would not only maximize each individual’s potential but, as we argue, could also mitigate the disbalance between the capitalist center and periphery and broaden overall cultural diversity.