Ethical AI in practice: Balancing technological advancements with human values

Benjamin Samson Ayinla 1, Olukunle Oladipupo Amoo 2, Akoh Atadoga 3, Temitayo Oluwaseun Abrahams 4, *, Femi Osasona 5 and Oluwatoyin Ajoke Farayola 6

1 University of Law Business School, Manchester, United Kingdom.
2 Department of Cybersecurity, University of Nebraska at Omaha, United States of America.
3 Independent Researcher, San Francisco, USA.
4 Independent Researcher, Adelaide, Australia.
5 Scottish Water, UK.
6 Financial Technology and Analytics Department, Naveen Jindal School of Management. Dallas, Texas, USA.
 
Review
International Journal of Science and Research Archive, 2024, 11(01), 1311–1326.
Article DOI: 10.30574/ijsra.2024.11.1.0218
Publication history: 
Received on 27 December 2023; revised on 03 February 2024; accepted on 05 February 2024
 
Abstract: 
In an era where artificial intelligence (AI) increasingly intersects with every facet of human life, the imperative for ethical AI has never been more pronounced. This paper delves into the complex interplay between technological advancements in AI and the overarching human values that guide societal norms. The background of the study establishes the urgency of addressing ethical challenges inherent in AI, such as privacy, bias, and accountability, within the broader context of regulatory and policy frameworks.
Aiming to critically evaluate the integration and effectiveness of ethical principles in AI applications, the paper navigates through a qualitative analysis, employing theoretical frameworks to dissect the ethical dimensions of AI. The scope encompasses a diverse range of topics, including global trends in ethical AI development, the impact of AI on human rights and personal freedoms, and the analysis of bias and fairness in AI algorithms. Real-world case studies provide insights into the successes and failures of ethical AI implementation, while the role of public perception and trust in AI adoption is scrutinized.
The main conclusions reveal a dynamic global landscape of ethical AI, emphasizing the need for robust ethical frameworks and proactive strategies to mitigate biases and ensure equitable outcomes. Recommendations advocate for clear ethical guidelines, integration of ethics in AI development, transparency, accountability, multi-stakeholder collaboration, public engagement, and continuous ethical evaluation.
The study concludes that balancing technological innovation with ethical constraints is crucial for the responsible development of AI. It underscores the importance of ethical vigilance, ensuring AI aligns with societal values and individual rights.
 
Keywords: 
Ethical AI; Artificial Intelligence; Privacy; Bias in AI; Human Values
 
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