Inferring Values via Hybrid Intelligence

Conference paper (2023)

Authors

E. Liscio Interactive Intelligence - EEMCS
Roger Lera-Leri Artificial Intelligence Research Institute, Spanish National Scientific Research Council
Filippo Bistaffa Artificial Intelligence Research Institute, Spanish National Scientific Research Council
C.M. Jonker Universiteit Leiden, Interactive Intelligence - EEMCS
Maite Lopez-Sanchez Universitat Politecnica de Catalunya
Juan A. Rodriguez-Aguilar Artificial Intelligence Research Institute, Spanish National Scientific Research Council
P.K. Murukannaiah Interactive Intelligence - EEMCS
Research Group
Interactive Intelligence (EEMCS) (TU Delft)
Copyright: © 2023 E. Liscio, Roger Lera-Leri, Filippo Bistaffa, R.I.J. Dobbe, C.M. Jonker, Maite Lopez-Sanchez, Juan A. Rodriguez-Aguilar, P.K. Murukannaiah
DOI: https://doi.org/10.3233/FAIA230102
More Info
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Published Date

2023

Language

English

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

Research Group

Interactive Intelligence

Abstract

Values, such as freedom and safety, are the core motivations that guide us humans. A prerequisite for creating value-aligned multiagent systems that involve humans and artificial agents is value inference, the process of identifying values and reasoning about human value preferences. We introduce a framework that connects the value inference steps, and motivate why a hybrid intelligence approach is instrumental for its success. We also highlight the multidisciplinary research challenges that hybrid value inference entails.