Towards an ethical framework about Big Data era: Metaethical, normative ethical and hermeneutical approaches

Morán, Reyes Towards an ethical framework about Big Data era: Metaethical, normative ethical and hermeneutical approaches. Heliyon, 2022, vol. 8, n. 2, pp. 1-8. [Journal article (Paginated)]

[thumbnail of Towards an ethical framework about Big Data era. Metaethical, normative ethical and hermeneutical approaches.pdf]
Preview
Text
Towards an ethical framework about Big Data era. Metaethical, normative ethical and hermeneutical approaches.pdf

Download (269kB) | Preview

English abstract

The main ethical challenges that arise for Information Sciences (with the daily use in different areas of Big Data applications) are not about the reliability of its professionals to carry out tasks in the organization area in an impartial way or about the obligation to train themselves technologically in the area of Data Science. The most important problems are related to the concept of moral responsibility, especially from a metaethical perspective, in line with the reflection of the implementation of technology with respect to human autonomy. In this paper it is stated that the challenges of Big Data go beyond the individual spectrum of responsibility of a professional in Information Sciences (specifically, due to the negative social consequences), so that the changes brought about by massive data sets are essentially problems of a group ethics, so they require approaches from the theoretical postulates of these disciplines. In addition to this, the moral challenges in dealing with Big Data are usually approached from applied ethics (such as information ethics), but in this article it will be approached as a problem of metaethics and normative ethics (as a foundation for its application in professional codes), and also from some ideas of digital hermeneutics and the philosophy of technology.

Item type: Journal article (Paginated)
Keywords: Metaethics; Big Data; Information ethics; Interdisciplinarity; Disruptive technology
Subjects: A. Theoretical and general aspects of libraries and information.
A. Theoretical and general aspects of libraries and information. > AB. Information theory and library theory.
A. Theoretical and general aspects of libraries and information. > AC. Relationship of LIS with other fields .
A. Theoretical and general aspects of libraries and information. > AZ. None of these, but in this section.
B. Information use and sociology of information > BA. Use and impact of information.
B. Information use and sociology of information > BC. Information in society.
G. Industry, profession and education. > GD. Organizations.
I. Information treatment for information services > IE. Data and metadata structures.
I. Information treatment for information services > IM. Open data
J. Technical services in libraries, archives, museum. > JG. Digitization.
L. Information technology and library technology > LC. Internet, including WWW.
L. Information technology and library technology > LP. Intelligent agents.
Depositing user: Dr. Ariel Morán
Date deposited: 28 Feb 2022 20:17
Last modified: 28 Feb 2022 20:17
URI: http://hdl.handle.net/10760/42914

References

Aberbach, D., 2021. The environment and literature of moral dilemmas: from Adam to Michael K. NY: Routledge, DOI: 10.4324/9781003169734.

Floridi, L., 2011. The philosophy of information. NY: Oxfrd University Press, DOI: 10.1093/acprof:oso/9780199232383.001.0001.

Floridi, L.; Corinne, C.; Taddeo, M., 2019a. Digital ethics: Its nature and scope. In: The 2018 Yearbook of the Digital Ethics Lab, edited by C. Öhman, D. Watson. Cham, Switzerland: Springer Nature, pp. 9-17, DOI: 10.1007/978-3-030-17152-0_2.

Floridi, L. et al., 2019b. Key ethical challenges in the European medical information framework. Minds Mach. J. Artif. Intell. Philos. Cognit. Sci. 29 (3), 355-371, DOI: 10.1007/s11023-018-9467-4.

Fraser, B., 2014. Moral error theories and folk metaethics. Philos. Psychol. 27 (6), 789-806, DOI: 10.1080/09515089.2013.769144.

Fricker, M., 2007. Epistemic injustice: Power and the ethics of knowing. NY: Oxford University Press, DOI: 10.1093/acprof:oso/9780198237907.001.0001.

Han, B.-C., 2018, The expulsion of the other: Society, perception and communication today. Cambridge, UK: Polity Press.

Hesse, A.; Glenna, L.; Hinrichs, C.; Chiles, R.; Sachs, C., 2019. Qualitative research ethics in the Big Data era. Am. Behav. Sci. 63 (5), 560-583, DOI: 10.1177/0002764218805806.

Hiriyannaiah, S.; Akanksh, B. S.; Koushik, A. S.; Siddesh, G. M.; Srinivasa, K. G., 2020. Deep learning for multimedia data in Internet of Things. In: Multimedia Big Data computing for Internet of Things: Concepts, paradigms and solutions, edited by S. Tanwar, S. Tyagi, N. Kumar. Singapore: Springer Nature, pp. 101-129, DOI: 10.1007/978-981-13-8759-3_4.

Holloway, K. 2020, Big Data and learning analytics in higher education: Legal and ethical considerations. J. Electron. Resour. Librariansh. 32 (4), 276-285, DOI: 10.1080/1941126X.2020.1821992.

Hongladarom, S., 2021. Machine hermeneutics, postphenomenology, and facial recognition technology. AI Soc. J. Knowl. Cult. Commun., DOI: 10.1007/s00146-020-00951-x.

Hu, J.; Zhang, Y., 2018. Measuring the interdisciplinarity of Big Data research: A longitudinal study. Online Inf. Rev. 42 (5), 681-696, DOI: 10.1108/OIR-12-2016-0361.

Ihde, D., 2008. The designer fallacy and technological imagination. In: Philosophy and design: From Engineering to Architecture, edited by P. E. Vermaas, P. Kroes, A. Light, S. A. Moore. Dordrecht: Springer Science+Business Media, pp. 51-59, DOI: 10.1007/978-1-4020-6591-0_4.

Jurkiewicz, C. L., 2018. Big Data, big concerns: Ethics in the digital age. Public Intregr. J. Am. Soc. Public Adm. 20 (suppl. 1), 46-59, DOI: 10.1080/10999922.2018.1448218.

Kuyumdzhieva, A., 2019. Ethics challenges in the digital era: Focus on medical research. In: Ethics and integrity in health and life sciences research, edited by Z. Koporc. Bingley, UK: Emerald Publishing Limited, pp. 45-62, DOI: 10.1108/S2398-601820180000004004.

Miller, A., 2013. Contemporary metaethics: An introduction, 2nd ed. Cambridge, UK: Polity Press.

Mittelstadt, B. D.; Floridi, L., 2016. The ethics of Big Data: Current and foreseeable issues in biomedical contexts. Sci. Eng. Eth. 22 (2), 303-341, DOI: 10.1007/s11948-015-9652-2.

Morán-Reyes, A. A., 2019. Eticidad y filosofía de la información: Fundamentación ética para la bibliotecología. Buenos Aires: Alfagrama.

Ricœur, P., 1994. Oneself as another. IL: University of Chicago Press.

Ryan, M.; Stahl, B. C., 2021. Artificial intelligence ethics guidelines for developers and users: Clarifying their content and normative implications. J. Inf. Commun. Eth. Soc. 19 (1), 61-86, DOI: 10.1108/JICES-12-2019-0138.

Strasser, B. J.; Edwards, P. N., 2017. Big Data is the answer... But what is the question? Osiris 32 (1), 328-345, DOI: 10.1086/694223.

Tang, Y.; Xiong, J.; Becerril-Arreola, R.; Iyer, L., 2020. Ethics of blockchain: A framework of technology, applications, impacts, and research directions. Inf. Technol. People. 33 (2), 602-632, DOI: 10.1108/ITP-10-2018-0491.

Taylor, L., 2016. The ethics of Big Data as a public good: Which public? Whose good? Philos. Trans. A Math. Phys. Eng. Sci. 374 (2083), 1-13, DOI: 10.1098/rsta.2016.0126.

Tiefensee, C., 2016. Inferentialist metaethics, bifurcations and ontological commitment. Philos. Stud. Int. J. Philos. Anal. Tradit. 173 (9), 2437-2459, DOI: 10.1007/s11098-015-0622-y.

Van Roojen, M. S., 2015. Metaethics: A contemporary introduction. NY: Routledge, DOI: 10.4324/9781315697055.

Zuk, P. D., 2015. A third version of constructivism: rethinking Spinoza’s metaethics. Philos. Stud. Int. J. Philos. Anal. Tradit. 172 (10), 2565-2574, DOI: 10.1007/s11098-014-0428-3.


Downloads

Downloads per month over past year

Actions (login required)

View Item View Item