Data Ethics and Privacy

Abstract

The ethical issues surrounding data acquisition, use, and management have gained prominence in the quickly changing field of data analytics. In the framework of contemporary data analytics, this chapter examines the complex issues of data ethics and privacy. It looks at the moral dilemmas brought on by gathering and using enormous volumes of data, such as those involving permission, openness, and justice. It also explores the effects of data analytics methods on society's values and individual privacy rights, including machine learning and artificial intelligence. The chapter also covers new rules and frameworks being developed to address ethical issues with data analytics procedures. This chapter offers insights into best practices for managing the ethical complexity inherent in data-driven decision-making through the analysis of case studies and ethical problems. Ultimately, it emphasizes how crucial it is to embrace moral standards and privacy-protecting methods to guarantee ethical and long-lasting data analytics procedures in the future.