2020
Lori, N.; Ferreira, D.; Alves, V.; Machado, J.
Bridging the Gap of Neuroscience, Philosophy, and Evolutionary Biology to Propose an Approach to Machine Learning of Human-Like Ethics Proceedings Article
Em: C., Camacho D. Novais P. Analide (Ed.): pp. 309-321, Springer Science and Business Media Deutschland GmbH, 2020, ISSN: 03029743, (cited By 0; Conference of 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020 ; Conference Date: 4 November 2020 Through 6 November 2020; Conference Code:251049).
Resumo | Links | BibTeX | Etiquetas: Ambient intelligence, Axiomatic framework; Biological evolution; Bottom up approach; Evolutionary biology; Human decision making; Multi-disciplinary approach; Natural user interfaces; Physical interactions, Biology; Decision making; Machine learning; Neurology; Philosophical aspects; User interfaces
@inproceedings{Lori2020309,
title = {Bridging the Gap of Neuroscience, Philosophy, and Evolutionary Biology to Propose an Approach to Machine Learning of Human-Like Ethics},
author = {N. Lori and D. Ferreira and V. Alves and J. Machado},
editor = {Camacho D. Novais P. Analide C.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097195726&doi=10.1007%2f978-3-030-62365-4_30&partnerID=40&md5=453b756311f0c2c8bfb5432cb1eeb4a2},
doi = {10.1007/978-3-030-62365-4_30},
issn = {03029743},
year = {2020},
date = {2020-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {12490 LNCS},
pages = {309-321},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {The growing explosion of ideas such as Artificial Intelligence (AI), smart environments and ubiquitous computing has led to the creation of the Ambient Intelligence (AmI) paradigm. As AmI begins to take place, moving from a futuristic idea to a reality, we are gradually witnessing the creation of an omnipresent, responsive, and intelligent atmosphere in which thousands of tiny sensors and natural user interfaces will be embedded in our natural movements and in our social and physical interactions. Hence, a key challenge in this multi-disciplinary approach is to get machines to act according to ethical priorities that make sense to human beings. In this study, we improve the capacity for machine ethics to approach human ethics by assessing the computation of transaction values and we argue that it is possible to perform such a computation using recent work that describes the effects of human decision-making using an axiomatic framework. This paper clarifies the relationship between the brain’s 3-axes of neuroscience, the 3 Plato’s Transcendentals of philosophy and the biological evolution’s 3-components, as well as the top-down vs. bottom-up approaches to machine ethics. © 2020, Springer Nature Switzerland AG.},
note = {cited By 0; Conference of 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020 ; Conference Date: 4 November 2020 Through 6 November 2020; Conference Code:251049},
keywords = {Ambient intelligence, Axiomatic framework; Biological evolution; Bottom up approach; Evolutionary biology; Human decision making; Multi-disciplinary approach; Natural user interfaces; Physical interactions, Biology; Decision making; Machine learning; Neurology; Philosophical aspects; User interfaces},
pubstate = {published},
tppubtype = {inproceedings}
}
The growing explosion of ideas such as Artificial Intelligence (AI), smart environments and ubiquitous computing has led to the creation of the Ambient Intelligence (AmI) paradigm. As AmI begins to take place, moving from a futuristic idea to a reality, we are gradually witnessing the creation of an omnipresent, responsive, and intelligent atmosphere in which thousands of tiny sensors and natural user interfaces will be embedded in our natural movements and in our social and physical interactions. Hence, a key challenge in this multi-disciplinary approach is to get machines to act according to ethical priorities that make sense to human beings. In this study, we improve the capacity for machine ethics to approach human ethics by assessing the computation of transaction values and we argue that it is possible to perform such a computation using recent work that describes the effects of human decision-making using an axiomatic framework. This paper clarifies the relationship between the brain’s 3-axes of neuroscience, the 3 Plato’s Transcendentals of philosophy and the biological evolution’s 3-components, as well as the top-down vs. bottom-up approaches to machine ethics. © 2020, Springer Nature Switzerland AG.