This research explores the question of consciousness in Artificial Intelligence (AI) by comparing the properties required for human consciousness with those found in current AI systems, through an interdisciplinary integrative review involving computational functionalism, neuroscience, and phenomenology. The following properties for the emergence of human consciousness are discussed: attention, cognition, perception, emotion, embodiment, creativity, and self-awareness. All of these are partially or functionally represented in AI, except self-awareness, which remains a distinctly human trait. This paper presents a theoretical framework for artificial consciousness (AC) based on an analysis of these properties, proposing the following categories: affective computing, integrated perception, self-model, cognition, embodied cognition, attention and creative processing, emphasizing and reflecting on the ethical and social implications of potential AC.
Perla Carrillo Quiroga (Thu,) studied this question.