Ethical Considerations in Artificial Intelligence and Machine Learning

EasyChair Preprint 12536

Abstract

As artificial intelligence (AI) and machine learning (ML) technologies continue to advance rapidly, ethical considerations surrounding their development, deployment, and impact become increasingly important. This paper explores the ethical dimensions of AI and ML, focusing on key issues such as fairness, transparency, accountability, privacy, bias, and societal impact. Through a comprehensive review of existing literature and case studies, the paper examines the ethical challenges posed by AI and ML systems in various domains, including healthcare, criminal justice, finance, and social media. Additionally, it discusses strategies and frameworks for addressing these challenges, including ethical guidelines, regulatory frameworks, and technical solutions. By highlighting the ethical considerations inherent in AI and ML, this paper aims to inform policymakers, developers, researchers, and other stakeholders about the importance of ethical practices in the design, implementation, and use of AI and ML technologies.

Keyphrases: Accountability, Artificial Intelligence, Privacy, Regulatory frameworks, bias, ethics, fairness, machine learning, societal impact, technical solutions, transparency

@booklet{EasyChair:12536,
  author    = {Mr Juli},
  title     = {Ethical Considerations in Artificial Intelligence and Machine Learning},
  howpublished = {EasyChair Preprint 12536},
  year      = {EasyChair, 2024}}