TL;DR
This study’s findings suggest that paradoxical tendencies found in individual consumer behavior exist in institutional behavior, as there was no relationship between ethical beliefs among AI professionals and data practices in their AI designs.
It is suggested in the paper that a methodology of ethical governance based on principles of responsible AI should be structured, fairness-by-design, transparency, human-in-the-loop oversight, and constant impact assessment, which underscores the fact that AI systems have ethical failures that are seldom technical but...
It is concluded that RAI is not merely a compliance burden but the core enabling infrastructure for Industry 5.0, with its successful implementation dependent on a symbiotic fusion of policy, technology, and organizational governance.
Abstract The integration of Artificial Intelligence (AI) into competition authorities to detect anti-competitive practices entails inherent ethical risks, such as algorithmic bias and excessive dependence on technology providers. To mitigate these risks, this article investigates how thirty-five regulatory authorities,...
Results show that AI complements HRM, but ethics must be taken into consideration for responsible and sustainable labour management, but ethics must be taken into consideration for responsible and sustainable labour management.
Abstract Consent in data protection law is highly contentious. Critics argue that enabling people to make their own decisions is not feasible, as people are generally poor decision-makers. However, proponents insist on the value of consent as a tool of empowerment. This Article challenges the foundational assumptions o...
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