The Ethics of Machine Learning in Cyberspace

EasyChair Preprint 13036

Abstract

The Ethics of Machine Learning in Cyberspace Machine learning (ML) algorithms play an increasingly vital role in shaping interactions and experiences in cyberspace. This paper explores the ethical implications of ML in cyberspace, focusing on issues such as privacy, bias, transparency, and accountability. It examines the challenges of ensuring that ML systems operate ethically, particularly in the context of rapidly evolving technologies and complex socio-technical environments. The paper also discusses potential strategies for addressing these challenges, including the development of ethical frameworks, regulations, and responsible AI practices. By highlighting these issues, this paper aims to stimulate further research and discussion on the ethical use of ML in Cyberspace.

Keyphrases: AI, cyberspace, machine learning

@booklet{EasyChair:13036,
  author    = {Abil Robert},
  title     = {The Ethics of Machine Learning in Cyberspace},
  howpublished = {EasyChair Preprint 13036},
  year      = {EasyChair, 2024}}