Can AI predict future events
Prediction in the age of artificial intelligence - what do we (don't) want to know?
CwiC - Coping with Certainty. Prediction in the Age of Artificial Intelligence
With the help of artificial intelligence (AI), extremely complex data from very different sources and contexts can be displayed, examined, connected and interpreted. Self-learning systems recognize new, often unexpected patterns that take into account a wide variety of influencing factors, variables and possible scenarios. In this way, AI makes it possible to anticipate trends and predict future developments and events in a way that has never been known historically.
What effects does this have on fundamental concepts such as solidarity, the understanding of the common good and common ideas about and for vulnerability? Against a legal, ethical and economic background, the CwiC project investigates whether the increase in knowledge achieved thanks to AI is really always worth striving for or whether there can be socially good reasons not to strive for certain information.
The profound changes that will result from digitization and datafication, both in health research and in medical practice, must be reflected on in an interdisciplinary manner, designed responsibly and effectively regulated. The considerations made in the context of the project include a legal analysis as well as an examination based on basic ethical values and a behavioral economic analysis of actual preferences.
The results of CwiC are disseminated via specialist journals and at international conferences and made accessible to an interested public via national and international media. In addition, recommendations are to be made available to political decision-makers and supervisory authorities, programmers, developers and users of AI-supported systems.
Funding initiative: Research on ethical, legal and social aspects (ELSA) of digitization, big data and artificial intelligence in health research and care
Project volume: 760,000 euros
Project duration: 01.03.2020-28.02.2023
Prof. Dr. Steffen Augsberg
Justus-Liebig university of Giessen
FB 01 - Law - Criminal Law and Criminal Procedure Law
Dr. Matthias Braun, Friedrich-Alexander-Universität Erlangen-Nürnberg, Philosophical Faculty and Department of Theology - Institute for Systematic Theology - Chair for Systematic Theology II (Ethics)
Prof. Dr. Nora Szech, Karlsruhe Institute of Technology (KIT), Institute for Economics (ECON) - Chair of Economic Policy
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