Ethical Considerations in AI and Machine Learning: Towards Responsible AI Deployment

EasyChair Preprint 12238

Abstract

This paper delves into the ethical dimensions surrounding AI and ML systems, examining the challenges and opportunities they present. It explores key ethical principles such as fairness, transparency, accountability, privacy, and societal impact, elucidating their significance in guiding the development and implementation of AI technologies. Additionally, the paper investigates ethical frameworks and guidelines proposed by academia, industry, and regulatory bodies to address these concerns. Through a comprehensive analysis, it highlights the necessity of adopting a multidisciplinary approach, involving stakeholders from diverse fields including ethics, law, computer science, and social sciences, to navigate the complex ethical landscape of AI and ML.

Keyphrases: AI, ML, and

@booklet{EasyChair:12238,
  author    = {Kurez Oroy and Danny Jhonson},
  title     = {Ethical Considerations in AI and Machine Learning: Towards Responsible AI Deployment},
  howpublished = {EasyChair Preprint 12238},
  year      = {EasyChair, 2024}}