Abstract
Theories related to cognitive sciences, Human-in-the-loop Cyber-physical systems, data analysis for decision-making, and computational ethics make clear the need to create transdisciplinary learning, research, and application strategies to bring coherence to the paradigm of a truly human-oriented technology. Autonomous objects assume more responsibilities for individual and collective phenomena, they have gradually filtered into routines and require the incorporation of ethical practice into the professions related to the development, modeling, and design of algorithms. To make this possible, it is pertinent and urgent to bring them closer to the problems and approaches of the humanities. Increasingly transdisciplinary research must be part of the construction of systems that provide developers and scientists with the necessary bases to understand the ethical debate and therefore their commitment to society. This article considers two theories as articulating axes: Blumenberg’s, coming from the field of philosophy, for whom the process of technification and especially the implementation of mathematical models in their algorithmic form leads to an emptying of meaning and therefore makes programmers who implement their functions to be alien to the concerns that gave them origin; Daston’s, belonging to the field of the history of science and according to which the division of labor in the processes of technification of the calculation implies a kind of subordination in which those who implement the inventions of a small group of privileged mathematicians ignore the procedures that put them into operation. Given these two theories, the black box models prevalent in AI development, and the urgency of establishing explanatory frameworks for the development of computational ethics, this article exposes the need to give a voice to the cultural history of consciousness for promoting the discussions around the implementation of mathematical algorithms. The paper takes as a reference the different points of view that have emerged around the study of technological ethics, its applicability, management, and design. It criticizes the current state of studies from a humanistic perspective and explains how the historical perspective allows promoting the training of software engineers, developers and creators so that they assume intuitions and moral values in the development of their work. Specifically, it aims to expose how cultural history, applied to the study of consciousness and its phenomena, makes those involved in this technological revolution aware of the effect that they, through their algorithms, have on society in general and on human beings in particular.
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References
Ananny M (2016) Toward an ethics of algorithms: convening, observation, probability, and timeliness. Sci Technol Hum Values 41(1):93–117. http://www.jstor.org/stable/43671284
Baker-Brunnbauer J (2020) Management perspective of ethics in artificial intelligence. AI and Ethics. November 16, 2020. https://doi.org/10.1007/s43681-020-00022-3
Batya F, David GH (2019) Value sensitive design: shaping technology with moral imagination. The MIT Press, New York
Bietti E (2019) From Ethics Washing to Ethics Bashing - A View on Tech Ethics from Within Moral Philosophy. In: Proceedings of ACM FAT* Conference (FAT* 2020). ACM, New York, NY, USA, 10 pages. https://doi.org/10.1145/3351095.3372860
Blumenberg H (2013) Teoría del mundo de la vida. Chapter: Mundo de la vida y tecnificación bajo aspectos de la fenomenología. Buenos Aires: Fondo de Cultura Económica
Bostrom N (2017) Strategic implications of opennes in AI Development. Global Policy. https://doi.org/10.1111/1758-5899.12403
Bostrom N, Eliezer Y (2011) "The Ethics of Artificial Intelligence." In Cambridge Handbook of Artificial Intelligence, edited by Keith Frankish and William Ramsey. New York: Cambridge University Press.
Burke P (2000) Formas de la historia cultural. Alianza, Madrid
Chartier R (2005) El mundo como representación. Estudios sobre historia cultural. Barcelona: Editorial Gedisa
Chartier R (2007) La historia o la lectura del tiempo. Gedisa, Barcelona
Damasio A (2003) Looking for Spinoza: Joy. Harcourt, Sorrow and the Feeling Brain
Damasio A (2018) The strange order of things: life, feeling, and the making of cultures. Pantheon, New York
Daston L (2017) Calculation and the division of labor, 1750–1950. 31st Annual Lecture of the German Historical Institute, Washington DC, November 9
Daugman JG (2001) Brain Metaphor and Brain Theory. En Philosophy and the Neurosciences, Editado por W. Bechtel et al. Oxford: Blackwell Publishers
De-Arteaga M, Fogliato R, Chouldechova A (2020). A case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores. ACM CHI Conference.
Dehaene S (2014) Consciousness and the brain: deciphering how the brain codes our thoughts. Penguin Random House Company, New York
Deleuze G (1984) La imagen-movimiento – Estudios sobre cine 1. Ediciones Paidós, Barcelona
Diaz-León, Christian; Quintero Montoya, O. L and Ortiz, Yarlin Andrea. "Human centered Mathematics: a framework for medical applications based on Extended Reality (XR) and Artificial Intelligence" Accepted for publication in Frontiers in Neurorobotics. Manuscript ID: 827317
Draaisma D (2000) Metaphors of memory: a history of ideas about the mind. Cambridge University Press, New York
Dzieza J (2021) How hard will the robots make us work? theverge.com. February 27, 2021
Eitel-Porter R (2020) Beyond the promise: implementing ethical AI. AI and Ethics, Octuber 6:2020
Floridi L et al (2018) AI4People – An Ethical Framework for a Good AI Society: opportunities, risks, principles, and recommendations. Minds Mach. 28:689–707. https://doi.org/10.1007/s11023-018-9482-5
Fragio A (2016) Metáforas de la subjetividad en la psicología del siglo xix. Roma: Aracne
Gabriel M (2020) Moralischer Fortschritt in dunklen Zeiten. Ullstein Verlag, Berlin
Geertz C (2005) La interpretación de las culturas. Editorial Gedisa, Barcelona
Hagendorff T (2020) The ethics of AI ethics: an evaluation of guidelines. Minds Mach 30(1):99–120
Harari Y (2018) Homo Deus: a brief history of tomorrow. Harper Perennial, New York
Hassabis D, Christopher S, Matthew B (2017) AI and Neuroscience: A Virtuous Circle. DeepMind Blog, August 2. Accessed February 17, 2021. https://deepmind.com/blog/article/ai-and-neuroscience-virtuous-circle.
Hutson M (2021) Who Should Stop Unethical A.I.? The New Yorker. February 15, 2021.
IEEE (2019) Ethically Aligned Design, First Edition. The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems
Jaume-Palasí L, Spielkamp M (2017) Ethics and algorithmic processes for decision making and decision support. Algorithm Watch Working Paper No. 2, Berlin 2017
Kahneman D (2011) Thinking, fast and slow. Farrar, Straus and Giroux
Lakoff G, Jhonson M (2001) Metáforas de la vida cotidiana. Cátedra, Madrid
Magalhaes JC (2018) Do Algorithms Shape Character? Considering Algorithmic Ethical Subjectivation. Social Media + Society. April-June 2018:1–10
Manjarrés Á, Simon P (2021) Aprendizaje-servicio y agenda 2030 en la formación de ingenieros de la tecnología inteligente. Revista Diecisiete. 2021. No 4. Madrid. ISSN 2695–4427 Versión digital (pp 59–82). https://doi.org/10.36852/2695-4427_2021_04.03
Mamedova N, Urintsov A, Komleva N, Staroverova O, Fedorov B (2019) Machine learning ethics in the context of justice Intuition. SHS Web of Conferences 69, 00150 (2019). https://doi.org/10.1051/shsconf/20196900150
McNamara A, Smith J, Murphy-Hill E (2018) Does ACM's code of ethics change ethical decision making in software development? In Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2018). Association for Computing Machinery, New York, NY, USA, 729–733. https://doi.org/10.1145/3236024.3264833
Morley J, Floridi L, Kinsey L, Anat E (2020) From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices. Sci Eng Ethics 26:2141–2168
Moscoso, Javier (2011). Historia cultural del dolor. México: Editorial Taurus.
Moscoso J (2017) Promesas incumplidas Una historia política de las pasiones. Editorial Taurus, Barcelona
Newport C (2021) E-mail is making us miserable. The New Yorker Februray 26:2021
Olhede SC, Wolfe PJ (2018) The growing ubiquity of algorithms in society: implications, impacts and innovations. Phil Trans R Soc A 376:20170364. https://doi.org/10.1098/rsta.2017.0364
Ryan M, Stahl BC (2021) Artificial intelligence ethics guidelines for developers and users: clarifying their content and normative implications. J Inf Commun Ethics Soc 19(1):61–86. https://doi.org/10.1108/JICES-12-2019-0138
Sadin É (2013) L’humanité augmentée. L’administration numérique du monde. Paris: L’Echappée
Sadin É (2020) L’intelligence artificielle ou l’enjeu du siècle: Anatomie d’un antihumanisme radical. L’Echappée, Paris
Salazar Martínez CA (2021) Papá y el big data. Revista Universidad De Antioquia, (342), 101–103. Recuperado a partir de https://revistas.udea.edu.co/index.php/revistaudea/article/view/345619
Martínez S, Andrés C (2020) El origen sensorial de la conciencia [Unpublished doctoral dissertation]. Universidad Eafit, Medellín; Colombia
Sapolsky RM (2018) Compórtate: La biología que hay detrás de nuestros mejores y peores comportamientos. Capitán Swing Libros, Madrid
Savater F (1991) Ética para Amador. Editorial Ariel, Barcelona
Siau K, Wang W (2020) Artificial Intelligence (AI) Ethics: Ethics of AI and Ethical AI. Journal of Database Management. Volume 31, Issue 2. April-June 2020:74–87
Tsamados, Andreas; Aggarwal, Nikita; Cowls, Josh; Morley, Jessica; Roberts, Huw; Taddeo, Mariarosario; Floridi, Luciano (2020). The Ethics of Algorithms: Key Problems and Solutions.
Thaler RH, Sunstein CR (2008) Nudge: Improving decisions about health, wealth, and happiness. Yale University Press
Umbrello S (2018) The moral psychology of Value Sensitive Desing: the methodological issues of moral intuitions for responsible innovation. J Respons Innovat 5(2):186–200. https://doi.org/10.1080/23299460.2018.1457401
Umbrello S, van de Poel I (2021) Mapping value sensitive design onto AI form social good principles. AI and Ethics. https://doi.org/10.1007/s43681-021-00038-3
Velden M (2022) Human-like Computers: A Lesson in Absurdity. Schwabe Verlag, Berlin
Yarce-Botero, Andres;.et al, (2022) A Knowledge-Aided Robust Ensemble Kalman filter algorithm for non-linear and non-gaussian large systems. Front Appl Math Stat Sect Dyn Syst. https://doi.org/10.3389/fams.2022.830116
Yu H et al (2018) Building Ethics into Artificial Intelligence. Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18). 5527–5533
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Martinez, C.A.S., Montoya, O.L.Q. The ethics of algorithms from the perspective of the cultural history of consciousness: first look. AI & Soc 38, 763–775 (2023). https://doi.org/10.1007/s00146-022-01475-2
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DOI: https://doi.org/10.1007/s00146-022-01475-2