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Artificial Intelligence in Health                                               Machine consciousness



            3. Machine consciousness                           some theories, this type of metaconsciousness could mark
                                                               the emergence of human-like consciousness in robots.
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            Machine consciousness is often explored within the   However,  no  currently  existing  or  planned  system  has
            context of autonomous artificial intelligence (AI) systems   demonstrated clear evidence of processing such awareness.
            capable of self-learning.  Contemporary systems extend
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            beyond basic hardware and administrative software,   For an AI system to achieve consciousness and exhibit
            encompassing sophisticated layers of programmed control   volition, it must possess the ability to modify and develop
            that integrate hardware, software, memory, and interfaces.   its own governing principles. This concept, referred to
            Finite-state machines can fulfill some criteria associated   as coherent extended volition, describes the capacity for
            with human-like consciousness.  While intelligence   self-regulated, self-defined learning.  Despite efforts to
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            and  consciousness  were  once  conflated,   this  view has   endow self-learning AI systems with this ability, there is
            largely been abandoned, as finite-state machines excel   minimal  evidence  that  any  system  has  transcended  its
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            in achieving pre-defined intelligence metrics without   programming.  Anthropomorphic robotic systems aim
            demonstrating true consciousness.  Modern algorithms,   to replicate human physiognomy and behavior, potentially
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            leveraging databases, outperform human experts in tasks   simulating human-like consciousness and  actions.
            requiring formal reasoning, planning, language processing,   However, such advancements remain largely speculative
            gameplay, and arithmetic—accomplishing these through   and confined to science fiction.
            efficient algorithmic symbol manipulation.
                                                               3.1. Weak AI
              Machine intelligence often exceeds biological systems,
            including humans, in multidimensional attentional focus.   Weak AI refers to AI systems designed for narrowly
            Artificial sensors enable machines to process and respond   defined tasks, employing only a fraction of human
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            to stimuli beyond the human sensory spectrum.  These   cognitive capabilities.   These systems excel at mimicking
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            capabilities, combined with continuous data monitoring   human behaviors in fundamental tasks such as learning,
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            and reaction, allow machines to excel in attentional focus   perception, and problem-solving.  However, weak AI
            across  various  domains. Machine interfaces  are  widely   lacks the capacity for independent thought or decision-
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            used for attention training in children, individuals with   making.   Contrary to popular belief, cognitively
            brain injuries, and those with psychiatric conditions where   inspired AI systems align with the weak AI hypothesis,
            maintaining focus presents challenges.  Intentionality,   as they model mental phenomena without claiming to
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            a core feature of finite state machines, is parametrically   replicate the underlying consciousness. This hypothesis
            programmed into most artificial systems capable of   remains consistent with present trends in AI and cognitive
            numerical information processing.  While humans often   modeling research. 72
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            anthropomorphize these systems by attributing deliberate   3.2. Strong AI
            purpose to them,  extending this attribution to human-
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            like beliefs, intentions, or causation remains implausible   Strong AI represents a conceptual framework aiming to
            for present artificial systems.  Some finite-state machine   develop machines with human-like intellect, consciousness,
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            systems have been capable of achieving astounding   and the ability to reason, learn, and plan. 73,74  Such systems
            autonomy levels within the set confines of their coding, as   would not only mimic human thought but also exhibit
            they are now built.                                autonomous cognitive abilities indistinguishable from the
                                                               human mind. Strong AI envisions machines capable of
              When utilized for specific activities in industries such   acquiring new skills through experience and improving
            as manufacturing, home appliances, automotive systems,   over time.  Despite significant research interest in
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            space exploration, and remote operations, finite-state   artificial general intelligence, which underpins the strong
            systems  have  the ability  to run for  extended periods   AI concept, it remains a theoretical construct rather than a
            without programmer input. System or body consciousness   realized technology.
            is necessary for the operation of many surgical and
            technology assessment systems in the medical field.  The   4. Discussion
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            ability of some systems to format and create computer-
            presented narratives can potentially be used to infer   4.1. Strong AI versus weak AI: Divergent
            phenomenological self-representation.  The metacognitive   perspectives on machine consciousness
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            trait of knowledge of being aware, which goes beyond   The question of whether an artificial system can truly be
            body/system self-awareness, has been proposed as a signal   conscious has fuelled enduring debate, dividing opinion
            that would show whether an artificially produced system   into strong AI and weak AI camps. Proponents of strong
            is capable of going beyond programming. According to   AI contend that a sufficiently well-designed computational


            Volume 2 Issue 3 (2025)                         27                               doi: 10.36922/aih.5690
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