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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Arti cial Pain: empathy, morality, and ethics as a developmental process of consciousness</article-title>
      </title-group>
      <contrib-group>
        <aff id="aff0">
          <label>0</label>
          <institution>Osaka University</institution>
          ,
          <addr-line>Suita, Osaka 565-0871</addr-line>
          ,
          <country country="JP">Japan</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>In this article, I propose a working hypothesis that the nervous system of pain sensation is a key component to shape robots' (arti cial systems') conscious minds through the developmental process of empathy, morality, and ethics based on the MNS that promotes the emergence of concept of self (and others). First, the limitation of the current progress of AI focusing on deep learning is pointed out from a viewpoint of the emergence of consciousness. Next, the outline of ideological background on issues of mind in a broad sense is shown. Then, cognitive developmental robotics (CDR) is introduced with two important concepts; physical embodiment and social interaction both of which help to shape conscious minds. Following the working hypothesis, existing studies of CDR are brie y introduced and missing issues are indicated. Finally, an issue how robots (arti cial systems) could be moral and legal agents is shown.</p>
      </abstract>
      <kwd-group>
        <kwd>Pain</kwd>
        <kwd>Empathy</kwd>
        <kwd>Morality</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>Introduction</title>
      <p>
        The rapid progress of observation and measurement technologies in
neuroscience and physiology have revealed various kinds of brain activities, and the
recent progress of AI technologies represented by deep learning (DL) methods is
remarkable. Therefore, it appears no wonder that arti cial consciousness can be
realized soon. However, due to the fundamental limitations of the deep learning,
it seems difficult. The main reason is that the current DL emphasizes the
perception link between the sensory data and labels, lacking strong connection with
the motor system, therefore, it does not seem to involve physical embodiment
and social interaction both of which develop a rich loop including perception
and action with attention, cognition, and prediction (Fig. 1). This is essential
for consciousness research including unconsciousness.
Cognitive developmental robotics [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ] has been advocating the importance
of physical embodiment and social interaction, a big potential to overcome
the above-mentioned limitation. The ideological background of constructive
approach by CDR is well explained in his book by Jun Tani [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ], chapter 3, featuring
Husserl s Phenomenology as follows (Fig. 2):
      </p>
      <p>With regard to the relationship between the mind and body or things, it is
Descartes who advocated mind and body dualism and laid the foundation of
modern philosophy. It is Husserl who insisted on \New Cartesianism" that goes
beyond Descartes to transcendental phenomenology and gave phenomenological
consideration. He developed a way of thinking of subjectivity between subjective
and objective intervals, and gave great in uence to the next generations after
him. He predicted that the analysis of nature is based on individual conscious
experience. Heidegger and Merleau-Ponty have extended and evolved Husserl's
phenomenological theory.</p>
      <p>Heidega argues that \being-in-the-world" is born by dynamic interaction
between the future possibilities of individual agents and their past possibilities
without separating subjectivity and objectivity. He also pointed out the
importance of some kind of social interaction that individuals can exist mutually under
the prior understanding of how each individual interacts with purpose.</p>
      <p>Merleau-Ponty argues that in addition to subjectivity and objectivity, the
dimension of \physical embodiment" emerges, where the body of the same
thickness is given to objects that are touched or viewed at the same time as the subject
touching and seeing, and that the body could be a place where exchanges between
two poles of subjective and objective is repeated. In other words, he pointed out
the importance of the body as a media connecting an objective physical world
and a subjective experience. As mentioned above, this is the basic concept of
\physical embodiment" in the cognitive development robotics.</p>
      <p>Based on these ideological backgrounds, CDR has done several studies, where
computational models were proposed to reproduce the cognitive
developmental processes by utilizing computer simulations and real robot experiments.
Although CDR has not mentioned about consciousness explicitly, here we argue
any possibility of arti cial consciousness more explicitly by proposing a
working hypothesis based on the nervous system of pain sensation. The story is as
follows:
1. Embedding pain nervous system into robots for them to feel pain.
2. Through MNS (Mirror Neuron System) development, robots may feel pain
in others.
3. That is, emotional contagion, emotional empathy, cognitive empathy, and
sympathy/compassion develop inside robots.
4. Proto-morality emerge.
5. Robots could be agents who could be moral being, and at the same time,
subjects to moral consideration.
6. Legal system for robots and AI will be considered.</p>
      <p>The rest of the paper is organized as follows. First, the nervous system for
pain sensation is brie y explained from a neuroscienti c viewpoint. Next, a
preliminary experiment of soft tactile sensor is shown as a potential of arti cial
nociceptor system. Then, we argue any possibility of arti cial empathy, morality,
and ethics in CDR by integrating existing studies and future issues. The above
story can be regraded as a developmental process of arti cial consciousness.
2</p>
    </sec>
    <sec id="sec-2">
      <title>A nervous system for pain sensation</title>
      <p>
        The perception of injurious stimuli, called nociception, or pain has its own
nervous pathways different from mechanosensory pathways (see Chapter 10 in [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ]).
It transmits two kinds of information through the anterolateral system: the
sensory discrimination of pain (location, intensity, and quality), and the affective
and motivational responses to pain. The former terminates at somatosensory
cortex (S1, S2) while the latter involves anterior cingulate and insular regions of
cortex and the amygdala. The pain matrix consists of these four regions (Fig. 3).
The analgesic effect arises from activation of descending pain-modulating
pathways that project to the dorsal horn of the spinal cord from somatic sensory
cortex through amhygdala and hypothalamus, then some parts of the midbrain,
and regulate the transmission of information to higher centers. Such projections
provide a balance of inhibitory (past view) and facilitatory in uences that
ultimately determines the efficacy of nociceptive transmission. In addition to the
above projections, local interactions between mechanoreceptive afferents and
neural circuits within the dorsal horn can modulate the transmission of
nociceptive information to higher centers. This is gate theory of pain that explains
the ability to reduce the sensation of sharp pain by activating low-threshold
mechanoreceptors (kiss it and make it well).
      </p>
    </sec>
    <sec id="sec-3">
      <title>From an arti cial pain system to a moral being</title>
      <p>
        As a preliminary step of arti cial pain nervous system, we developed a soft tactile
sensor [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ] consisting of four spiral inductors printed on a exible printed circuit
board (FPCB) and a disk-shaped magnetorheological elastomer (MRE;
ferromagnetic marker) embedded in a cylindrical elastomer made of a silicon rubber.
The inductances of the inductors are determined by the positional relationship
between the ferromagnetic marker and each inductor because the marker
contains iron particles with a high magnetic permeability. Therefore, the sensor can
estimate applied tri-axis forces by monitoring the inductance changes caused
by three-dimensional (3D) displacements of the marker. Fig. 4 shows the result
of tactile sensation. The left two pictures show soft (rubbing) and hard
(hammering) touches by a index nger and a hummer, respectively, and the right
gure shows a time-course of three forces Fx; Fy; and Fz when the soft and hard
touches were applied. As the gure shows, the sensor can discriminate soft and
hard touches from the response waveform. The waveform for the hard touch is
sharper than that of the soft one.
      </p>
      <p>Based on the capability of discrimination of the tactile sensor, arti cial
nervous system for pain sensation can be embedded into the robot body and brain
in parallel with normal mechanoreceptor pathway with a mechanism of pain
regulation (the gate theory).
3.2</p>
      <p>
        Arti cial empathy
The feeling that this pain is shared is thought to be the source of empathy
assuming that the mirror neuron system enables agents to percieve others' pain
1. Actually, a survey article of arti cial empathy [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ] mentioned that many papers
on empathy in neuroscience, cognitive science, and psychology dealt with pain
as a research target. The right-bottom of Fig. 5 shows a conceptual model of
empathy developmemt ([
        <xref ref-type="bibr" rid="ref1">1</xref>
        ]), and the rest of the gure indicate the related studies,
which are brie y introduced in the followings.
      </p>
      <p>
        Dynamic coupling between body and brain with neural oscillator
networks Park et al. [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ] showed that dynamic coupling between body and brain
with neural oscillator networks generated two kinds of subnetwork structures
apart from the anatomical network one; the former consists of many small
1 https://www.nytimes.com/2006/01/10/science/cells-that-read-minds.html
[Nagai et al., 2011]
[Park et al., 2017]
      </p>
      <p>
        [Hori et al., 2007]
[Watanabe et al., 2007]
subnetworks loosely connected each other and corresponds to a stable motion
while the latter mainly consists of one big subnetowork strongly connected with
sensory-motor nuerons and corresponds to an unstabel motion that connects the
stable motions. The left-bottom of Fig. 5 indicates the summary of this work,
and the following two points are essential for the main topic of the paper.
1. Two kinds of motions and network structures behind may correspond to very
primitive lelvels of unconscious (stable motion) and conscious (unstable
motion) states, respectively. More plausibly, stable motions could be attractors
and unstable motions appear to transit between the attractors in the phase
space.
2. The separation of two kinds subnetworks can be regarded as functional
differentiation that is a basic mechanism for the emergence of new functions
[
        <xref ref-type="bibr" rid="ref11">11</xref>
        ].
      </p>
      <p>
        Emergence of mirror neuron system and emotion sharing Nagai et al. [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]
proposed a computational model for the emegence of mirror neuron system based
on the hypothesis that immature vision leads to self-other correspondence. At the
beginnig, infants (robots) cannot discrimnate between self motion and others'
ones due to their immature vision. Gradually, they become able to discrimnate
owing to their visual development. However, early connections between action
observation and action execution are left unchanged. As a result, the observation
of both self-induced motion and other's motion evoke the motor system, that is,
a function of the mirror neuron system.
      </p>
      <p>
        Such mirroring could be expanded from action to emotions, that is, emotion
sharing. Watanabe et al. [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ] showed a computational model for emotion
development based on a psychological nding, intuitive parenting. Starting from a
very simple emotional space consisting of only two pleasure-displeasure states,
an infant (robot) gradually differentiated its emotional space into richer one with
happiness, surprise, anger, and so on, through the interactions with its caregiver.
Hori et al. [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ] proposed a uni ed model to estimate the emotional states of
others and to generate emotional self-expressions by using a multimodal restricted
Boltzmann machine (RBM). Ogino et al. [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ] presented a motivation model of
infant-caregiver interactions focusing on relatedness, one of the most important
basic psychological needs that increases with experiences of emotion sharing.
These three studies are positioned in Fig. 5.
      </p>
      <p>Sharing painful situations induces sympathetic behavior In case of the
emotion sharing of pain, the system needs to transmit two kinds of
information, the sensory discrimination of pain (location, intensity, and quality), and
the affective and motivational responses to pain as described in 2. The former
information comes from the sensor system of the body while the second one
comes from its own experiences of pain. The ideal story is as follows:
1. The information for sensory discrimination of pain (location, intensity, and
quality) is transmitted to CNS from the sensory system.
2. If the above experience is the rst time, the related information such as cause
and/or reason is also transmitted with the information above.
3. Else, the memory of this experience is enhanced in the memory storage.
4. When the painful situation of others is observed, emotion sharing of pain
happens, and also the memory of the similar experience is recalled.
5. Take actions to reduce the pain of others based on the recalled experience.
A robot could be a moral agent if it can generate such behavior successfully. At
the same time, such a robot may have a right to receive moral behavior from
others. Such a moral agency could be a solution to the rst law of three laws of
robotics 2. That is, \A robot may not injure a human being or, through inaction,
allow a human being to come to harm."
4</p>
    </sec>
    <sec id="sec-4">
      <title>Discussion</title>
      <p>
        To challenge the hard issue of consciousness, I attempted to represent it as a
phenomena of the developmental process of arti cial empathy for pain and moral
behavior generation. The conceptual model for the former is given by [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ] while
the latter is now the story of fantasy. If a robot is regarded as a moral being
who is capable to give moral behavior to others, is it deserving of receiving
moral behavior from others? If so, can we agree that such robots have conscious
minds? This is an issue of ethics towards robots, and also related to the legal
system. Can we ask such robots a sort of responsibility for any accident they
committed? If so, how? These issues arise when we introduce robots who are
quali ed as moral being with conscious minds into our society.
      </p>
      <p>Before these issues, there are so many technical issues. Among them, the
followings should be intensively addressed.
2 https://en.wikipedia.org/wiki/Three Laws of Robotics</p>
    </sec>
    <sec id="sec-5">
      <title>Acknowledgments</title>
      <p>This research was supported by JST Strategic Basic Research Programs
(RISTEX), Research Area \Human-Information Technology Ecosystem," entitled
\Legal Beings: Electronic personhoods of arti cial intelligence and robots in
NAJIMI society, based on a reconsideration of the concept of autonomy"(Oct.
2017 Sep. 2020)</p>
    </sec>
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