Current Volume 8
Abstract
This paper discusses how the disruption brought about by Artificial Intelligence (AI) has revolutionized fields by instituting high automation, productivity, and creativity. However, as AI systems are used increasingly in the decision-making processes of different spheres the question of responsibility for designing and implementing these systems has emerged. This article will explain the four main ethical frameworks in AI – transparency, accountability, fairness, and privacy. It explains why these principles are critical for managing some of the risks that include the ones that are commonly deemed as; algorithmic bias, black box nature, and data exploitation. To investigate ethical AI practice in the global industries, a multimethod case study approach using literature reviews and expert interviews were conducted, in addition to case examples and data analysis. The findings of this work demonstrate that being transparent and responsible for AI leads to higher stakeholders’ trust, higher organizations’ operational integrities, and fixed bias’ minimization. Examples from healthcare, finance, and retail show that the best current implementations of AI, including transparency-focused algorithms and stringent privacy protections, are a recipe for creating industry success as well as lining up with current emerging regulation. However, there are still many issues like lack of general code of ethics, challenges with incorporating the biases of algorithms. The insights could not be clearer that it is not simply a matter of embedding ethics into AI creation but would need input and activity from a range of parties including technologists, ethicists, policy makers and business leaders. The three concepts show how ethical issues can be incorporated into the Allow Anonymous, responsible use of AI systems in global industries. In this piece, common issues that need to be addressed before AI becomes mainstream are raised followed by a recommendation for increased co-operation, effective legislation and continued studies to ascertain the compatibility of AI to the overarching principles of justice, fairness and responsibility in modern society.
Keywords
Ethical AI, Understanding, Accurate, Equity, Discretion, International Sectors, Effective AI Systems, AI Regulations.
Citations
IRE Journals:
Abdalrhman Eleida
"Ethical AI: Building Transparent and Responsible Systems for Global Industries" Iconic Research And Engineering Journals Volume 8 Issue 6 2024 Page 1072-1081
IEEE:
Abdalrhman Eleida
"Ethical AI: Building Transparent and Responsible Systems for Global Industries" Iconic Research And Engineering Journals, 8(6)
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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