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

Reyes, Ariel Antonio Morán

doi:10.1016/j.heliyon.2022.e08926

Cited by 5 publications

(3 citation statements)

References 27 publications

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“…Sharif and Ghodoosi (2022) discuss normative theories (utilitarian/deontic/value) while adopting contractarianism in their examination of blockchain ethics. Moran‐Reyes (2022, p. 2) differentiates between normative ethics (what is a “good” life), applied ethics (what to do in specific situations) and metaethics that is the study of “more theoretical, more abstract terms.” Tronto (2020) is a proponent of feminist ethics like Adam (2001, p. 235) who argues that a feminist ethic offers “a more collectivist approach toward computer ethics problems.” Constantinescu et al (2021) focus upon dianoetic that is a subset of virtue ethics which is concerned with the establishment of virtuous action through rational thought rather than intuition.…”

Section: Resultsmentioning

confidence: 99%

Mapping the ethic‐theoretical foundations of artificial intelligence research

White,

Samuel,

Jones

et al. 2024

Thunderbird Intl Bus Rev

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The issue of artificial intelligence (AI) ethics is a prominent research subject. While there is a compendious literature that explores this area, surprisingly little of it makes explicit reference to the ethic‐theoretical foundations upon which it is built. To address this matter, this study makes an examination of the AI ethics literature to identify its ethic‐theoretical foundations. The study identifies the lack of AI ethics literature that draws upon seminal ethics works and the ensuing disconnectedness among the publications on this subject. It also uncovers numerous non‐Western ethic‐theoretical positions that can be adopted and may afford new insight into AI ethics research and practice. Employing these alternative lenses may obviate the tendency for Western worldviews to dominate the academic literature. The study provides some guidance for future AI ethics research which should endeavor to clearly articulate its chosen ethic‐theoretical position, and for practice which could benefit from understanding and articulating the principles upon which AI systems are founded. It also provides some observations of, and guidance for, the utilization of Litmaps software in the conduct of Literature reviews.

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Section: Resultsmentioning

confidence: 99%

Mapping the ethic‐theoretical foundations of artificial intelligence research

White,

Samuel,

Jones

et al. 2024

Thunderbird Intl Bus Rev

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“…The big data revolution has produced data with the characteristics of volume, variety, and speed [ [30] , [31] , [32] ]. It provides abundant research data for machine learning algorithms to play a role in the research field of customer lifetime value.…”

Section: Relevant Research Reviewmentioning

confidence: 99%

Research on customer lifetime value based on machine learning algorithms and customer relationship management analysis model

Sun¹,

Liu²,

Gao³

2023

Heliyon

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“…This in turn has led to a situation where our well-being, both as individuals and as a society is closely inter-connected with the working of this informational environment, along with the disruptive technologies that facilitate our interaction with them. As a result, there arises several ethical questions that are imperative to the overall well-being to the communities that adopt such technologies (Moran-Reyes, 2022). It is pivotal therefore, to study the ethical framework that can be employed to educate all the stakeholders about the significance of these ethical parameters for a long-term pursuit of these technologies in the years to come.…”

Section: A Framework For Digital Ethicsmentioning

confidence: 99%

Sanjana’s ethical dilemma in disruptive technologies

Fernando¹

2022

Journal of Information Technology Teaching Cases

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Ethics is an often-debated topic in technology circles. Ethical implementation of information systems is an important aspect of the curriculum in management institutions. Since students in business schools hail from different academic streams, they may come in with or without in-depth technical knowledge on the software/information systems that run the business. It becomes the duty of academia in this context, to educate them on the ethical challenges that managers would face in implementing disruptive technologies in their organizations. The onus on creating managers who can make humans out of machines (and not vice versa) is on the faculty in these management institutes. One of the most effective ways to achieve this objective is through the case study tool. The protagonist in this case, Sanjana is faced with a series of ethical issues in her new workspace which has recently undergone a digital transformation. The primary objective of this case study is to enable management students (who may not have in-depth technological knowledge and/or expertise) to: 1. Identify limitations of technological components (especially data sciences, AI, ML, and DL systems) in business given the growing levels of implementations of these systems in all business domains. 2. Think out of the box and provide innovative solutions to technology-related ethical challenges in such a manner that human-aided computer systems function within business peripherals to ensure a secure, unbiased environment to all stakeholders.

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

Cited by 5 publications

References 27 publications

Mapping the ethic‐theoretical foundations of artificial intelligence research

Mapping the ethic‐theoretical foundations of artificial intelligence research

Research on customer lifetime value based on machine learning algorithms and customer relationship management analysis model

Sanjana’s ethical dilemma in disruptive technologies

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