Articlehybrid2024

Ethical AI in practice: Balancing technological advancements with human values

Benjamin Samson Ayinla · Olukunle Oladipupo Amoo · Akoh Atadoga · Temitayo Oluwaseun Abrahams · Femi Osasona · Oluwatoyin Ajoke Farayola

62 citations0/0 files storedInternational Journal of Science and Research Archive

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Ethics and Social Impacts of AI Digitalization, Law, and Regulation Innovation, Sustainability, Human-Machine Systems

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.

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References

2020The Ethics of AI Ethics: An Evaluation of Guidelines 2020Legal and human rights issues of AI: Gaps, challenges and vulnerabilities 2020The Ethics of AI Ethics: An Evaluation of Guidelines 2021Where Responsible AI meets Reality 2020Responsible AI—Two Frameworks for Ethical Design Practice 2020A High-Level Overview of AI Ethics 2019Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way 2016Big Data Methods

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