This cluster of papers explores the ethical implications of artificial intelligence, focusing on fairness, algorithmic bias, and accountability in the context of big data, machine learning, and surveillance. It delves into topics such as the societal impact of AI, discrimination in algorithms, transparency in decision-making processes, and the challenges of ensuring fairness and ethics in AI applications.