On some Foundational Aspects of Human-Centered Artificial Intelligence
It addresses the foundational problem of defining HCAI for researchers and practitioners, but it is incremental as it builds on existing discussions without introducing new methods or data.
The paper tackles the lack of a clear definition for Human-Centered Artificial Intelligence (HCAI) by introducing the concept of an HCAI agent with five components (Observations, Requirements, Actions, Explanations, Models) to bridge technical and non-technical discussions, focusing on single-agent scenarios in dynamic human environments.
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.