Unlocking AI’s Potential: Human Collaboration as the Catalyst

Peter Buxmann and Sara Ellenrieder

Publications of Darmstadt Technical University, Institute for Business Studies (BWL) from Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL)

Abstract: Rapid advances in artificial intelligence (AI) have fueled high expectations for the technology’s potential to fundamentally transform our economy and society through automation. However, given the inscrutability and, sometimes, susceptibility to error of AI systems, we argue that the focus should shift towards fostering effective human-AI collaboration rather than pursuing automation alone. In this context, system decisions must be made available to decision-makers in an explainable and understandable manner, as further required by the EU’s recently passed AI Act. Research shows that there is potential for humans to learn from explainable AI systems and improve their own performance over time. Meanwhile, in addition to enabling humans to benefit from working with AI systems on various everyday tasks, such collaboration ensures the safe and reliable use of AI systems, especially in high-risk areas such as medicine, where human oversight remains paramount.

Date: 2024-05-27
Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/149346/
References: View references in EconPapers View complete reference list from CitEc
Citations:

Published in WEIZENBAUM JOURNAL OF THE DIGITAL SOCIETY 1 (2024-05-27)

Downloads: (external link)
https://ojs.weizenbaum-institut.de/index.php/wjds/article/view/4_1_7

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:dar:wpaper:149346

Access Statistics for this paper

More papers in Publications of Darmstadt Technical University, Institute for Business Studies (BWL) from Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL) Contact information at EDIRC.
Bibliographic data for series maintained by Dekanatssekretariat ().