Due to their recent success, machine learning (ML) and artificial intelligence (AI) have begun to be used in many fields. ML can be considered a subset of AI. In ML, machines learn from data (i.e., they use data from previous experiences to predict and classify). AI has recently been the subject of increased attention and it is increasingly being applied to the products and services that shape everyday life. Conversely, ML is being widely used in the field of data science. Intelligent systems are defined as machines or systems that have an embedded, Internet-connected computer that has the ability to gather, analyse and evaluate information and communicate with other systems. Intelligent systems normally demonstrate some behaviours associated with human intelligence. However, while advances in AI have unlocked new levels of productivity and innovation, ethical concerns and challenges about these advances have also increased. This short course will provide you with a framework to analyse these concerns. This course will also enhance your knowledge of AI and intelligent systems, their effects and the ethical issues that they raise in society. As you design and develop intelligent systems, you will also consider the related ethical implications. Specifically, this course will examine the broader effects of AI on society and the principles of accountability, transparency, fairness and user data rights. It will also provide you with a better understanding of a shared set of ethical values.