Overview of the ethical issues surrounding Artificial Intelligence (AI) across various domains, including healthcare, military applications, and general societal use. A central theme is the challenge of algorithmic bias and discrimination, particularly in areas like facial recognition, hiring, and criminal justice, often stemming from skewed training data. The texts also investigate the risks associated with advanced AI, such as the potential for unaligned superintelligence leading to existential threat, and critiques the argument that focusing on these far-future risks distracts from addressing present-day harms. Furthermore, the sources explore governance and mitigation strategies, emphasising the need for clearer ethical guidelines, transparency (or explainability, i.e. XAI), accountability for AI decisions, and addressing the significant environmental and labour impacts of AI systems.