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      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Abhishek Shukla</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Principal Software Engineer</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Dell Technologies</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>USA Chi-Ching Hsu</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>ETH Zurich</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Switzerland Christian Beyer</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Otto-von-Guericke University Magdeburg</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Germany Florent Forest</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Switzerland Han Sun</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Switzerland Hao Dong</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>ETH Zurich</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Switzerland Marco Ragni</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>TU Chemnitz</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Germany Maria Riveiro</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Professor</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Jo¨nko¨ping University</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Sweden Myra Spiliopoulou</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Otto-von-Guericke-University Magdeburg</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Germany Olga Fink</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Switzerland S lawomir Nowaczyk</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Halmstad University</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Sweden Stephan Husung</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>TU Ilmenau</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Germany Thorsteinn Ro¨gnvaldsson</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Professor</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Halmstad University</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Sweden Zheng Zhou</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Xi'an Jiaotong University</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>China</string-name>
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        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>S lawomir Nowaczyk, CAISR, Halmstad University, Sweden Myra Spiliopoulou, Otto von Guericke University Magdeburg, Germany Marco Ragni, Chemnitz University of Technology</institution>
          ,
          <addr-line>Germany Olga Fink, EPFL</addr-line>
          ,
          <country country="CH">Switzerland</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2024</year>
      </pub-date>
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      <title>-</title>
      <p>The workshop on “Embracing Human-aware AI in Industry 5.0” is designed
to delve into the evolving landscape of artificial intelligence in the industrial
sector, placing emphasis on how AI should reflect and respond to human
activities and demands. As industries worldwide transition into the realms of
Industry 5.0, integrating AI technologies becomes not just an asset but a
necessity. This shift heralds unprecedented opportunities and challenges, where the
interplay between human workers and advanced AI systems takes central stage.
Our workshop explored this critical intersection, focusing on how AI should be
designed, implemented, validated and managed in a human-aware way.</p>
      <p>Human-aware AI requires novel solutions that allow humans and machines to
collaborate seamlessly within the complexities of the real world, driving
sustainability, resiliency, and benefits to people and society. In business branches like
commerce, the need for human-aware AI is already taken for granted.
Industry, including product design, manufacturing, aftermarket, maintenance, and
all forms of industrial engineering, seems to be lagging behind since the focus
for many years has been pure automation. By delving into these topics with
a human-aware lens, this workshop will significantly contribute to the ECAI
conference, ofering scientific discussions that align well with its themes and
goals.</p>
      <p>For the HAII 5.0 workshop, our objective was to provide a comprehensive
platform for participants to gain insights into the current trends, potential
benefits, and challenges associated with the deployment of AI in the industry in
collaboration with and supporting (not replacing) humans — even on a
cognitive level. The workshop is expected to spark innovative ideas, encourage
collaborations, and contribute significantly to advancing human-aware AI in
the industrial sector. In the call for papers, particular emphasis was placed on
practical applications, challenges, and the latest research findings in the efild.
Through this workshop, we aspire to shape the future of the industry where AI
not only enhances eficiency and productivity but also aligns seamlessly with
human needs and values.</p>
      <p>Our workshop papers present original work in the area. We feature a series
of presentations from the contributing participants, two keynote talks, open
discussions, and interactive panel sessions led by experts in the field of AI for
Industry 5.0. Submissions cover a wide array of topics, ranging from ethical
considerations and human-AI collaboration to AI-driven process optimisation,
decision support systems, integration of domain and expert knowledge in AI
algorithms, and the future of work on the industrial floor. The workshop format
at ECAI 2024 fosters a multidisciplinary dialogue on how AI can be
humanaware and efectively integrated into various industrial processes by bringing
together academicians, industry professionals, and AI practitioners.</p>
      <p>We would like to thank the reviewers for their intensive work, the authors
for their contributions and ECAI 2024 for giving us the opportunity and this
ideal scientific environment for organising HAII 5.0</p>
    </sec>
    <sec id="sec-2">
      <title>Workshop Organisers</title>
    </sec>
    <sec id="sec-3">
      <title>Program Committee</title>
    </sec>
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