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Assessment and Communication for People with Disorders of Consciousness

Assessment and Communication for People with Disorders of Consciousness

Published on: August 1, 2017

Good Old-Fashioned Artificial Consciousness and the Intermediate Level Fallacy.

Riccardo Manzotti¹, Antonio Chella^2,3

¹Department of Business, Law, Economics and Consumer Behavior, Università di Comunicazione e Lingue (IULM), Milan, Italy.

Frontiers in Robotics and AI

|January 27, 2021

Summary

Researchers explore robot consciousness, identifying a key flaw in current artificial consciousness models. An alternative framework is proposed for developing conscious robots and advancing AI.

Keywords:

artificial consciousness machine consciousness robot consciousness robot self-awareness synthetic phenomenology

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Area of Science:

Artificial Intelligence
Robotics
Cognitive Science

Background:

Growing interest in creating conscious robots with subjective experiences.
Current approaches, termed Good Old-Fashioned Artificial Consciousness (GOFAC), share a common conceptual framework.
GOFAC encompasses theories like global workspace, information integration, enaction, cognitive mechanisms, and embodiment.

Purpose of the Study:

To critically examine the fundamental principles of GOFAC.
To analyze the implications of GOFAC for Artificial Intelligence (AI) and Robotics.
To identify and discuss the central issue within the GOFAC framework.

Main Methods:

Conceptual analysis of existing artificial consciousness theories.
Identification of the core tenets of the Good Old-Fashioned Artificial Consciousness (GOFAC) framework.
Critique of GOFAC, focusing on a specific identified fallacy.

Main Results:

The study identifies the 'intermediate level fallacy' as a central problem hindering GOFAC.
GOFAC's basic tenets and their limitations for achieving robot consciousness are discussed.
The limitations of current GOFAC approaches for AI and robotics are highlighted.

Conclusions:

The 'intermediate level fallacy' presents a significant obstacle for current artificial consciousness models.
A new conceptual framework is needed to advance the development of robot consciousness.
This research suggests a path toward more effective AI and robotics development for conscious machines.