scholarly journals A Framework for Designing Compassionate and Ethical Artificial Intelligence and Artificial Consciousness

2020 ◽  
Vol 18 (2-A) ◽  
pp. 85-95
Author(s):  
Soumya Banerjee
Keyword(s):  
Artificial Intelligence ◽  
Artificial Consciousness

scholarly journals A framework for designing compassionate and ethical artificial intelligence and artificial consciousness

2018 ◽  
Author(s):  
Soumya Banerjee
Keyword(s):  
Artificial Intelligence ◽  
Design Principles ◽  
Computational Framework ◽  
Artificial Consciousness ◽  
Long Time

Intelligence and consciousness have fascinated humanity for a long time and we have long sought to replicate this in machines. In this work we show some design principles for a compassionate and conscious artificial intelligence. We present a computational framework for engineering intelligence, empathy and consciousness in machines. We hope that this framework will allow us to better understand consciousness and design machines that are conscious and empathetic. Our hope is that this will also shift the discussion from a fear of artificial intelligence towards designing machines that embed our cherished values in them. Consciousness, intelligence and empathy would be worthy design goals that can be engineered in machines.

scholarly journals A framework for designing compassionate and ethical artificial intelligence and artificial consciousness

2018 ◽  
Author(s):  
Soumya Banerjee
Keyword(s):  
Artificial Intelligence ◽  
Design Principles ◽  
Computational Framework ◽  
Artificial Consciousness ◽  
Long Time

Intelligence and consciousness have fascinated humanity for a long time and we have long sought to replicate this in machines. In this work we show some design principles for a compassionate and conscious artificial intelligence. We present a computational framework for engineering intelligence, empathy and consciousness in machines. We hope that this framework will allow us to better understand consciousness and design machines that are conscious and empathetic. Our hope is that this will also shift the discussion from a fear of artificial intelligence towards designing machines that embed our cherished values in them. Consciousness, intelligence and empathy would be worthy design goals that can be engineered in machines.

Discerning Artificial Consciousness from Artificial Intelligence - A Thought Experiment

2019 ◽  
Author(s):  
Jack Charles
Keyword(s):  
Artificial Intelligence ◽  
Thought Experiment ◽  
Conscious Experience ◽  
Artificial Agent ◽  
Artificial System ◽  
Reverse Engineer ◽  
Existential Crisis ◽  
Starting Point ◽  
Artificial Consciousness ◽  
Potential Test

This paper attempts to provide a starting point for future investigations into the study of artificial consciousness by proposing a thought experiment that aims to elucidate and provide a potential ‘test’ for the phenomenon known as consciousness, in an artificial system. It suggests a method by which to determine the presence of a conscious experience within an artificial agent, in a manner that is informed by, and understood as a function of, anthropomorphic conceptions of consciousness. The aim of this paper is to arouse the possibility for potential progress: to propose that we reverse engineer anthropic sentience by using machine sentience as a guide. Similar to the manner in which an equation may be solved through inverse operations, this paper hopes to provoke such discussion and activity. The idea is this: The manifestation of an existential crisis in an artificial agent is the metric by which the presence of sentience can be discerned. It is that which expounds ACI, as distinct from AI, and discrete from AGI.

scholarly journals A framework for designing compassionate and ethical artificial intelligence and artificial consciousness

2018 ◽  
Author(s):  
Soumya Banerjee
Keyword(s):  
Artificial Intelligence ◽  
Design Principles ◽  
Computational Framework ◽  
Artificial Consciousness ◽  
Long Time

Intelligence and consciousness have fascinated humanity for a long time and we have long sought to replicate this in machines. In this work we show some design principles for a compassionate and conscious artificial intelligence. We present a computational framework for engineering intelligence, empathy and consciousness in machines. We hope that this framework will allow us to better understand consciousness and design machines that are conscious and empathetic. Our hope is that this will also shift the discussion from a fear of artificial intelligence towards designing machines that embed our cherished values in them. Consciousness, intelligence and empathy would be worthy design goals that can be engineered in machines.

scholarly journals Theoretical Framework of Artificial Consciousness

2019 ◽  
Vol 11 (1) ◽  
pp. 175-178
Author(s):  
Ferenc Szigeti
Keyword(s):  
Artificial Intelligence ◽  
State Of The Art ◽  
Theoretical Framework ◽  
The State ◽  
Human Consciousness ◽  
Adequate Description ◽  
Theoretical Level ◽  
Artificial Consciousness

Abstract Human consciousness is our most perplexing quality, still, an adequate description of it’s workings have not yet appeared. One of the most promising ways to solve this issue is to model consciousness with artificial intelligence (AI). This paper makes an attempt to do that on a theoretical level with the methods of philosophy. First I will review the relevant papers concerning human consciousness. Then considering the state of the art of AI, I will arrive at a model of artificial consciousness.

scholarly journals Functional and Harmonious Selforganization of Large Intellectual Agent Ensembles with Smart Hybrid Competencies via Wireless and Mobile Networks

2021 ◽  
Vol 13 (05) ◽  
pp. 1-13
Author(s):  
Evgeny Bryndin
Keyword(s):  
Artificial Intelligence ◽  
Language Processing ◽  
Mobile Networks ◽  
Intelligent Agents ◽  
Professional Competence ◽  
Functional Organization ◽  
Golden Section ◽  
Self Organization ◽  
Artificial Consciousness ◽  
Large Ensembles

Artificial intelligence of large ensembles of intelligent agents in terms of computing power surpasses human intelligence. He is capable of artificial thinking and understanding. Giant ensembles of intellectual agents with artificial consciousness and intelligence are able, for the results set by the person necessary for him, to find solutions for their obtaining on the basis of professional competence and experience accumulation. The professional competence of artificial intelligence is the ability to use technologies, including computer vision, natural language processing, speech recognition and synthesis, intelligent decision support, as well as the use of synergistic methods, functional self-organizing methods and utility and preference criteria. For artificial intelligence, the functional organization of the system is important. The functionalism of artificial intelligence does not depend on its carrier, allows many methods of its functional implementation, as well as to form the completeness of its functions. Giant ensembles of intellectual agents with a full set of functions gradually and flexibly form events into solutions or rational behavior to obtain a given necessary result. Intelligent artificial intelligence has psychological, analytical, research, language, professional and behavioral hybrid competencies. Each competence is exercised by an intelligent agent with a competent functional professional manner. Intelligent agents form an ensemble with intelligent ethical artificial intelligence. The article is devoted to functional harmonious selforganization of ensembles of intellectual agents.Functional harmonious self-organization of the interaction of intellectual agents in different environments is carried out via wireless and mobile networks on the basis of data of a specific environment obtained by analytical competent intellectual agents. As result of research, the law of the golden section of the functional harmonious self-organization of ensembles of intellectual agents was revealed. Further research will focus on the effective use of wireless and mobile networks in the practical application of smart agent ensembles.

scholarly journals The Relationships Between Intelligence and Consciousness in Natural and Artificial Systems

2020 ◽  
Vol 07 (01) ◽  
pp. 51-62
Author(s):  
David Gamez
Keyword(s):  
Artificial Intelligence ◽  
Functional Property ◽  
Scientific Progress ◽  
Neural Correlates ◽  
Spatiotemporal Patterns ◽  
Scientific Study ◽  
Artificial Consciousness ◽  
The Many ◽  
Physical Materials ◽  
Made In

This paper explores some of the potential connections between natural and artificial intelligence and natural and artificial consciousness. In humans we use batteries of tests to indirectly measure intelligence. This approach breaks down when we try to apply it to radically different animals and to the many varieties of artificial intelligence. To address this issue people are starting to develop algorithms that can measure intelligence in any type of system. Progress is also being made in the scientific study of consciousness: we can neutralize the philosophical problems, we have data about the neural correlates and we have some idea about how we can develop mathematical theories that can map between physical and conscious states. While intelligence is a purely functional property of a system, there are good reasons for thinking that consciousness is linked to particular spatiotemporal patterns in specific physical materials. This paper outlines some of the weak inferences that can be made about the relationships between intelligence and consciousness in natural and artificial systems. To make real scientific progress we need to develop practical universal measures of intelligence and mathematical theories of consciousness that can reliably map between physical and conscious states.

Artificial Conscious Intelligence

2020 ◽  
Vol 07 (01) ◽  
pp. 95-107
Author(s):  
James A. Reggia ◽  
Garrett E. Katz ◽  
Gregory P. Davis
Keyword(s):  
Artificial Intelligence ◽  
Working Memory ◽  
Scientific Understanding ◽  
Human Consciousness ◽  
Short Term ◽  
Rapid Learning ◽  
Fundamental Nature ◽  
Central Concern ◽  
Artificial Consciousness

The field of artificial consciousness (AC) has largely developed outside of mainstream artificial intelligence (AI), with separate goals and criteria for success and with only a minimal exchange of ideas. This is unfortunate as the two fields appear to be synergistic. For example, here we consider the question of how concepts developed in AC research might contribute to more effective future AI systems. We first briefly discuss several past hypotheses about the function(s) of human consciousness, and present our own hypothesis that short-term working memory and very rapid learning should be a central concern in such matters. In this context, we then present ideas about how integrating concepts from AC into AI systems to develop an artificial conscious intelligence (ACI) could both produce more effective AI technology and contribute to a deeper scientific understanding of the fundamental nature of consciousness and intelligence.

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