Generative AI in software engineering must be human-centered: The Copenhagen Manifesto
The advent of Generative Artificial Intelligence—systems that can produce human-like content such as text, music, visual art, or source code—marks not only a significant leap for Artificial Intelligence (AI) but also a pivotal moment for software practitioners and researchers. The role of software e...
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sg-smu-ink.sis_research-99752024-08-06T08:06:45Z Generative AI in software engineering must be human-centered: The Copenhagen Manifesto Russo, D. Baltes, S. van Berkel TREUDE, Christoph The advent of Generative Artificial Intelligence—systems that can produce human-like content such as text, music, visual art, or source code—marks not only a significant leap for Artificial Intelligence (AI) but also a pivotal moment for software practitioners and researchers. The role of software engineering researchers and practitioners in adopting the technologies that shape our world is critical. Historically, the human aspects of developing software have been treated as secondary to more technical innovations. However, the emergence of Generative AI will simultaneously enhance human capabilities while surfacing complex ethical, social, legal, and technical challenges.While primarily aimed at software engineering (SE) researchers and practitioners, who are at the forefront of integrating Generative AI into our digital infrastructure, this manifesto equally underscores the ripple effects such innovations have on end-users of software, shaping their experiences and interactions in profound ways.SE practitioners and researchers have a moral duty to help the world navigate this enduring landscape of new AI technologies ethically and sustainably, and foster values such as fairness, transparency, societal wellbeing, and environmental resilience. This transformative era challenges us to extend our focus beyond technical expertise, integrating human values and ethical considerations into the fabric of our technological advancements This is in addition to maintaining our existing obligations, such as adherence to codes of conduct (e.g., ACM Code of Ethics and Professional Conduct or the IEEE Code of Ethics) and compliance with legal frameworks (e.g., EU AI Act).By establishing this manifesto, we seek to catalyze a shift in how Generative AI is conceived, developed, and applied within SE—a shift that reaffirms the primacy of human dignity, agency, and collective wellbeing in the face of rapid technological change. 2024-10-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/8972 info:doi/10.1016/j.jss.2024.112115 https://ink.library.smu.edu.sg/context/sis_research/article/9975/viewcontent/1_s2.0_S0164121224001602_main_pvoa_cc_by.pdf http://creativecommons.org/licenses/by/3.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Artificial Intelligence and Robotics Software Engineering |
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Artificial Intelligence and Robotics Software Engineering Russo, D. Baltes, S. van Berkel TREUDE, Christoph Generative AI in software engineering must be human-centered: The Copenhagen Manifesto |
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The advent of Generative Artificial Intelligence—systems that can produce human-like content such as text, music, visual art, or source code—marks not only a significant leap for Artificial Intelligence (AI) but also a pivotal moment for software practitioners and researchers. The role of software engineering researchers and practitioners in adopting the technologies that shape our world is critical. Historically, the human aspects of developing software have been treated as secondary to more technical innovations. However, the emergence of Generative AI will simultaneously enhance human capabilities while surfacing complex ethical, social, legal, and technical challenges.While primarily aimed at software engineering (SE) researchers and practitioners, who are at the forefront of integrating Generative AI into our digital infrastructure, this manifesto equally underscores the ripple effects such innovations have on end-users of software, shaping their experiences and interactions in profound ways.SE practitioners and researchers have a moral duty to help the world navigate this enduring landscape of new AI technologies ethically and sustainably, and foster values such as fairness, transparency, societal wellbeing, and environmental resilience. This transformative era challenges us to extend our focus beyond technical expertise, integrating human values and ethical considerations into the fabric of our technological advancements This is in addition to maintaining our existing obligations, such as adherence to codes of conduct (e.g., ACM Code of Ethics and Professional Conduct or the IEEE Code of Ethics) and compliance with legal frameworks (e.g., EU AI Act).By establishing this manifesto, we seek to catalyze a shift in how Generative AI is conceived, developed, and applied within SE—a shift that reaffirms the primacy of human dignity, agency, and collective wellbeing in the face of rapid technological change. |
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text |
author |
Russo, D. Baltes, S. van Berkel TREUDE, Christoph |
author_facet |
Russo, D. Baltes, S. van Berkel TREUDE, Christoph |
author_sort |
Russo, D. |
title |
Generative AI in software engineering must be human-centered: The Copenhagen Manifesto |
title_short |
Generative AI in software engineering must be human-centered: The Copenhagen Manifesto |
title_full |
Generative AI in software engineering must be human-centered: The Copenhagen Manifesto |
title_fullStr |
Generative AI in software engineering must be human-centered: The Copenhagen Manifesto |
title_full_unstemmed |
Generative AI in software engineering must be human-centered: The Copenhagen Manifesto |
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generative ai in software engineering must be human-centered: the copenhagen manifesto |
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Institutional Knowledge at Singapore Management University |
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2024 |
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https://ink.library.smu.edu.sg/sis_research/8972 https://ink.library.smu.edu.sg/context/sis_research/article/9975/viewcontent/1_s2.0_S0164121224001602_main_pvoa_cc_by.pdf |
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