Data Ethics: Al & Equality

This lecture covers the ethical considerations related to data ethics, focusing on fairness, justice, and the broader implications of Al systems. It delves into the importance of contextual fairness, equality, and the ethical challenges faced by designers in ensuring fairness in Al systems. The instructor discusses the ethical questions surrounding data collection, protection, and governance, emphasizing the need for transparency and accountability. The lecture also explores the impact of datafication on society, the ambition to document data comprehensively, and the structural pressures on diversity and freedom. Furthermore, it addresses the ethical considerations in algorithmic decision-making, highlighting the trade-offs and challenges in designing and fine-tuning models.