Ethical Artificial Intelligence

This course aims to provide students with a deep understanding of the ethical issues and potential risks associated with the design, development, and deployment of AI systems. It also explores strategies for mitigating these risks. The course covers accountability and risk assessment frameworks that help ensure ethical AI decision-making. Additionally, it examines the resource demands of training and deploying AI systems, emphasizing the need for sustainable solutions. Topics include societal concerns such as bias, data privacy, human autonomy, and copyright violations, as well as technical issues like explainability, vulnerabilities to attacks, technical robustness, and sustainability. The course will also review key design frameworks and toolkits that can help evaluate and mitigate ethical AI risks.