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Blog: Perspectives on AI Ethics in Healthcare

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Ethical side of AI has always been a central theme in various movies and books and finally research has started to catch up. Research on AI ethics has grown immensely from just one publication in 1998 to 334 in 2019 and 342 by 2020. The first modern foundations of AI ethics dates back to 1940s and 1950s when American mathematician Norbert Wiener coined the term cybernetics to describe how people, machines and other complex systems interact through constant feedback and communication.     Figure 1. The counts of Google Scholar citations with (“AI” or “artificial intelligence”) and (“ethics” or “ethical”) in the title.  His idea moved us from thinking of technology as something separate to seeing it as a natural, connected part of our whole society. Wiener warned that humanity was already “in a position to construct artificial machines of almost any degree of elaborateness,” a power with “unheard-of importance for good and for evil.” His 1950 book The Human Use of Hum...
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I2SC Lecture Series (Recording): Tanise Ceron (NLP, Bocconi University) Evaluating Political Bias: Insights into Robustness and Multilinguality

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  Date : June 6, 2025 Abstract : Due to the widespread use of large language models (LLMs), it is crucial to understand whether they embed a specific "worldview" and what these views reflect. In this talk, I will discuss the challenges in performing a robust evaluation of political bias in LLMs both from a monolingual and a multilingual perspective. I will present the results of two studies: the first involves developing a framework for systematically evaluating political bias in LLMs, with a detailed look at biases in specific policy issues and the importance of a robust evaluation when probing LLMs. The second study examines to what extent political biases are carried over across languages. Results suggest that biases are similar across European languages. I will conclude by discussing relevant open research questions regarding political biases in LLMs. You can watch the recording of the talk below. Check out our lecture series: https://www.i2sc.net/events/i2sc-lecture-seri...
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Blog: Navigating the Harms of LLMs in Education

Generative AI ( GenAI ), notably Large Language Models (LLMs), ha ve entered our classrooms, not slowly but with a thunderclap. Tools like ChatGPT and Claude are now helping students and instructors in different phases of the learning/teaching process. They are transforming how we learn, teach, and even think. Their support ranges from personalized tutoring and self-learning guidance to providing educational content and 24/7 learning assistance .     LLMs ’ Promise on Personalized Learning    Individual students require personalized support that considers their knowledge level, personal circumstances, and unique learning needs. However, providing one-on-one human tutoring to every student is not feasible due to resource limitations. LLMs can address this challenge by offering individualized instruction tailored to each student's specific requirements. These tools provide accessible support for self-learners at any time and location. When students encounter di...
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