Ethics of Algorithmic Bias

This chapter explores the ethical implications of biased algorithms in decision-making, particularly in critical areas like healthcare. It discusses the responsibilities of data scientists to confront these biases and implement fairer systems, while navigating the complexities of ethics versus outcomes. The chapter emphasizes the need for collaboration, continuous monitoring, and the involvement of diverse expertise to address systemic inequalities effectively.