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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">JDS</journal-id>
<journal-title-group><journal-title>Journal of Data Science</journal-title></journal-title-group>
<issn pub-type="epub">1683-8602</issn><issn pub-type="ppub">1680-743X</issn><issn-l>1680-743X</issn-l>
<publisher>
<publisher-name>School of Statistics, Renmin University of China</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">JDS1117</article-id>
<article-id pub-id-type="doi">10.6339/24-JDS1117</article-id>
<article-categories><subj-group subj-group-type="heading">
<subject>Philosophies of Data Science</subject></subj-group></article-categories>
<title-group>
<article-title>Decoding Consciousness in Artificial Intelligence</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Xiong</surname><given-names>Momiao</given-names></name><email xlink:href="mailto:momiao.xiong@gmail.com">momiao.xiong@gmail.com</email><xref ref-type="aff" rid="j_jds1117_aff_001">1</xref><xref ref-type="aff" rid="j_jds1117_aff_002">2</xref><xref ref-type="fn" rid="cor1">∗</xref>
</contrib>
<aff id="j_jds1117_aff_001"><label>1</label>Department of Biostatistics and Data Science, School of Public Health, <institution>The University of Texas Health Science Center at Houston</institution>, Houston, TX 77030, <country>USA</country></aff>
<aff id="j_jds1117_aff_002"><label>2</label><institution>Society of Artificial Intelligence Research</institution>, Houston, TX 77030, <country>USA</country></aff>
</contrib-group>
<author-notes>
<corresp id="cor1"><label>∗</label>Email: <ext-link ext-link-type="uri" xlink:href="mailto:momiao.xiong@gmail.com">momiao.xiong@gmail.com</ext-link>.</corresp>
</author-notes>
<pub-date pub-type="ppub"><year>2024</year></pub-date><pub-date pub-type="epub"><day>18</day><month>1</month><year>2024</year></pub-date><volume>22</volume><issue>1</issue><fpage>1</fpage><lpage>9</lpage><history><date date-type="received"><day>5</day><month>12</month><year>2023</year></date><date date-type="accepted"><day>16</day><month>1</month><year>2024</year></date></history>
<permissions><copyright-statement>2024 The Author(s). Published by the School of Statistics and the Center for Applied Statistics, Renmin University of China.</copyright-statement><copyright-year>2024</copyright-year>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>Open access article under the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">CC BY</ext-link> license.</license-p></license></permissions>
<abstract>
<p>The exploration of whether artificial intelligence (AI) can evolve to possess consciousness is an intensely debated and researched topic within the fields of philosophy, neuroscience, and artificial intelligence. Understanding this complex phenomenon hinges on integrating two complementary perspectives of consciousness: the objective and the subjective. Objective perspectives involve quantifiable measures and observable phenomena, offering a more scientific and empirical approach. This includes the use of neuroimaging technologies such as electrocorticography (ECoG), EEG, and fMRI to study brain activities and patterns. These methods allow for the mapping and understanding of neural representations related to language, visual, acoustic, emotional, and semantic information. However, the objective approach may miss the nuances of personal experience and introspection. On the other hand, subjective perspectives focus on personal experiences, thoughts, and feelings. This introspective view provides insights into the individual nature of consciousness, which cannot be directly measured or observed by others. Yet, the subjective approach is often criticized for its lack of empirical evidence and its reliance on personal interpretation, which may not be universally applicable or reliable. Integrating these two perspectives is essential for a comprehensive understanding of consciousness. By combining objective measures with subjective reports, we can develop a more holistic understanding of the mind.</p>
</abstract>
<kwd-group>
<label>Keywords</label>
<kwd>artificial intelligence</kwd>
<kwd>artificial general intelligence</kwd>
<kwd>consciousness</kwd>
<kwd>mortal computation</kwd>
</kwd-group>
</article-meta>
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