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Chapitre D'ouvrage Année : 2021

Augmented Human and Human-Machine Co-evolution: Efficiency and Ethics

Résumé

Capability and expected potential of AI-based computer solutions increased significantly in the recent years, mainly due to progress in machine learning technologies and available data. Growing effectiveness in reasoning, knowledge representation, automatic training via machine learning, and especially in computer vision and speech technology result in AI systems becoming an ever-better communication and work partner of their human counterparts. Deeply embedded in the every-day context of work and leisure, AI systems can act as competent dialog partners and powerful work assistants. Furthermore, they increasingly help humans to better acquire new insights, process and apply situation-specific instructions, receive improved training and learn new knowledge more effectively. Ultimately, intelligent systems exhibit the potential to become inseparable partners of humans or – in case e.g. of prosthesis solutions and innovative sensor technology – even become part of the human body. Such close mental and physical interconnection between human and AI system raises new concerns and ethical questions which need to be considered not only by computer scientists, but ask for interdisciplinary work and social discourse. This paper outlines the different levels of human-computer integration, gives examples of the innovative potential in work assistance and learning support, and sketches ethical and moral issues conjoined with such progress. Keywords
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hal-04423247 , version 1 (29-01-2024)

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Andreas Dengel, Laurence Devillers, Laura Maria Schaal. Augmented Human and Human-Machine Co-evolution: Efficiency and Ethics. Reflections on Artificial Intelligence for Humanity, 12600, Springer International Publishing, pp.203-227, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-69128-8_13⟩. ⟨hal-04423247⟩
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