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Conscious Machines: The AI Perspective

AAAI Conferences

Efforts to study computational aspects of the conscious mind have made substantial progress, but have yet to provide a compelling route to creating a phenomenally conscious machine. Here I suggest that an important reason for this is the computational explanatory gap: our inability to explain the implementation of high level cognitive algorithms that are of interest in AI in terms of neurocomputational processing. Bridging this gap could contribute to further progress in machine consciousness, to producing artificial general intelligence, and to understanding the fundamental nature of consciousness.


The 4 ingredients to create consciousness could explain our own minds

New Scientist

WHAT is it like to be a bat? Philosopher Thomas Nagel's 1974 question has evolved to dominate our thinking on consciousness. Nagel's point, simply put, is that even if we could fly, and navigate using sonar, we would never grasp what it feels like to be a bat. The argument has become the "hard problem" of consciousness, the intractability of explaining subjective experience. Consciousness isn't something you can measure or weigh; its ethereal quality is so fascinating as to verge on the mystical.


Portage Officers Attacked, 1 Loses Consciousness

U.S. News

Police say a second officer trying to restrain the woman was kicked in the face and head by the man and lost consciousness. An off-duty nurse saw the struggle and aided the unconscious officer. The female suspect began fighting with the first officer again and started yelling about having a knife.


Hewlett Packard Labs

#artificialintelligence

I don't think we're in imminent danger of stumbling into a consciousness that we create ourselves. We're more likely to fool ourselves into imagining that we have by simulating behavior we associate with consciousness. Is it ethical to continue this pursuit? I think that we have a stewardship role to fill as we move from machines being mere tools that we use to amplify our capabilities to partners that we can use to complement our abilities as conscious beings. The artificial consciousness, crafted for purpose, which can go to areas, or regions, or environments in which we as humans are limited because of our biological nature is something we should be actively pursuing.


Nelson

AAAI Conferences

Over the last several decades research efforts have explored various forms of artificial life and embodied artificial life as methods for developing autonomous agents. Such approaches, although a part of the AI canon, are rarely used in research aimed at creating artificial general intelligence. This paper explores the prospects of using in silicoartificial evolution to develop machine consciousness, or strong AI. It is possible that artificial evolution and situated self-organizing agents could become viable tools for studying machine consciousness, but there are several issues that must be overcome. One problem is the use of exogenous selection methods to drive artificial evolutionary processes. A second problem relates to agent representation that is inconsistent with the environment in which the agents are situated. These issues limit the potential for open-ended evolution and fine-grained fitting of agents to environment, which are likely to be important for the eventual development of situated artificial consciousness.