Second morning session
Saturday, 2024/04/20, 11:00
| Event organizer: | Collegium generale |
|---|---|
| Speaker: | Prof. Dr. Marcello Ienca; Prof. Dr. Malte Elson |
| Date: | 2024/04/20 |
| Time: | 11:00 Time |
| Locality: |
Meeting room castle Münchenwiler Kühergasse 7 1797 Münchenwiler |
| Registration: | Hier Anmelden |
| Characteristics: |
not open to the public free of charge |
11.00 - 11.45
Prof. Dr. Marcello Ienca, School of Medicine and Health, Technical University of Munich
Truly Human-Centered AI: From Artificial Intelligence to Augmented Intelligence
This talk explores the transition from Artificial Intelligence (AI) to Augmented Intelligence (AuI), emphasizing the imperative of placing human needs and values at the forefront of AI integration. Using as a case study the realm of neural interfaces, it will investigate how AI can augment human capabilities while maintaining ethical standards and prioritizing user agency and dignity. By fostering a truly human-centered approach, this talk aims to bridge the gap between technological advancement and ethical responsibility, envisioning a future where AI serves as a tool for empowerment and enhancement rather than a force of detachment or control.
CV:
Marcello Ienca took up his position as professor of Ethics of Artificial Intelligence and Neuroscience at the School of Medicine and Health and School of Social Sciences and Technology, Technical University of Munich in 2023. Marcello Ienca is Group Leader, Intelligent Systems Ethics Group at the Swiss Federal Institute of Technology in Lausanne. Marcello Ienca studied Philosophy in Rome and Berlin, Bioethics in Padova and Leuven, and obtained his PhD in Biomedical Ethics in Basel in 2018. In his research Marcello Ienca investigates the broader implications of new (and often converging) sociotechnical trends such as Artificial Intelligence, big data, digital epidemiology, robotics, assisted living, digital health, social media, dual use, and neurotechnology.
11.45 – 12.30
Prof. Dr. Malte Elson, Psychology, University of Bern
"This talk is both speculative and trivial; needs proofreading": Can AI Replace Human Experts in Journal Peer Review?
Abstract:
In research on academic peer review, there is a widespread truism: “Peer review is the worst form of academic quality assessment, except for all the other forms that have been tried.” However, the available evidence suggests that peer review, in its current form, suffers from substantial biases that limit its usefulness as a quality control mechanism. Further, not a lot of alternatives have actually been tried. In this talk, I first survey the available evidence on practices and biases in human pre-publication peer review. Then, I explore to which extent AI can support, improve, or even replace human reviewers, and where it would likely fail.
CV:
Malte Elson is an associate professor of Psychology of Digitalisation at the University of Bern. His major interests are (1) media use and technology effects, e.g. effects of violent video games, (2) usable IT security and privacy, e.g., in smart home environments, and (3) meta-science and behaviour research methods, e.g. standardisation of research procedures in psychology. Recently he launched Estimating the Replicability and Robustness of Research (ERROR), a bug bounty program for the social and behavioural sciences.