ETHICAL IMPLICATIONS OF ARTIFICIAL INTELLIGENCE – CASE STUDIES, INCIDENT ANALYSIS AND STAKEHOLDER PERSPECTIVE ANALYSIS
DOI:
https://doi.org/10.52152/ghdr2196Keywords:
Artificial Intelligence, AI, Ethics, Frameworks, Regulations, Impact, AssessmentAbstract
Artificial intelligence (AI) has the potential to revolutionize our lives, but its use also raises significant ethical and moral concerns. These issues are rooted in human rights and injustices, and the diverse applications of AI make its ethical implications complex and multifaceted. It is crucial to carefully examine and manage these effects to avoid unintended consequences and protect human rights.
Purpose: To this end, our research delves into the complex landscape of ethical implications surrounding AI applications and development. Our study aims to identify and analyze challenges and offer actionable recommendations to address gaps and ensure the responsible deployment of AI technologies.
Findings: Our research has uncovered widespread ethical challenges, highlighting the complexity of balancing ethical and technological considerations in AI regulation and governance. Through stakeholder perspectives, case studies, and the development of ethical impact assessment guidelines, we provide valuable insights and a foundation for adaptive frameworks.
Originality/Value: This research on the " Ethical Implications of Artificial Intelligence" stands out for its originality by offering a comprehensive exploration of the ethical challenges using AI. The study contributes valuable insights through stakeholder perspectives, case studies, and the development of ethical impact assessment guidelines. Its findings provide a foundation for adaptive frameworks, emphasizing the critical need for balanced regulations that address the evolving landscape of AI technologies.
Research Methodology: Our research methodology is based on secondary data, including research papers, news reports, articles, surveys, and discussions by experts, technologists, and businesspeople. Our findings emphasize the critical need for balanced regulations that address the evolving landscape of AI technologies.
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