Year: 2021
Type: preprint
Abstract: The burgeoning of AI has prompted recommendations that AI techniques should be "human-centered". However, there is no clear definition of what is meant by Human Centered Artificial Intelligence, or for short, HCAI. This paper aims to improve this situation by addressing some foundational aspects of HCAI. To do so, we introduce the term HCAI agent to refer to any physical or software computational agent equipped with AI components and that interacts and/or collaborates with humans. This article identifies five main conceptual components that participate in an HCAI agent: Observations, Requirements, Actions, Explanations and Models. We see the notion of HCAI agent, together with its components and functions, as a way to bridge the technical and non-technical discussions on human-centered AI. In this paper, we focus our analysis on scenarios consisting of a single agent operating in dynamic environments in presence of humans.
Source: arXiv (Cornell University)
Institutions: Fondazione Bruno Kessler, Université Paris 1 Panthéon-Sorbonne, University of Coimbra, Örebro University, Sapienza University of Rome, Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo", National Research Council, Ca' Foscari University of Venice, TU Wien, Universitat Politècnica de Catalunya
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
Funder: European Commission
OpenAlex ID: W4226031297