In today's data-driven AI era, compliant and ethical use of data is more crucial than ever. We will explore and understand the impact and importance of data ethics for individuals, companies, and the wider society. We will highlight the nuanced relationship between ethics and data ethics. Using practical examples we will discuss the harms of unethical innovation and data practices as well as the benefits of data ethics. We will also highlight the relationship between data ethics and AI ethics, and introduce the strategies to implement them.
The chapter provides learners with practical knowledge and examples of the importance and implementation of data ethics in the different stages of the data lifecycle. The chapter covers the practical aspects of crucial data ethics concepts of data protection and security, informed consent, trust and transparency, and accountability.
This chapter focuses on data ethics that go beyond the usual discussions on data bias and fairness. Learners will better understand data-related biases and how to deal with them. They will also learn about the FAIR- Findable, Accessible, Interoperable, and Reusable data principles for sharing data openly. They will also understand the benefits of open data for science and society. Finally, learners will explore the evolving accountability and impact of data operations, emphasizing the moral responsibility of company leaders and data scientists and preparing for the future of data ethics.