Understanding AI Ethics
Learning about AI technology can help you to gain an understanding of what it can and cannot do, how it can help and the potential risks it poses. We must use AI solutions in a safe and responsible way, taking account of legal considerations, ethics, data protection and privacy, security, and governance.
Some information about the learning material found on this page:
- the learning material on this page is suitable for all users
- there is no need to complete all learning material; choose what is relevant to you
- all learning material is free, but may require the creation of a free account to access
- some learning material contains practical exercises requiring a licence; exercises can be skipped if necessary
Learning Outcomes
Based on the learning material you choose, you will be able to:
- summarise the generic risks associated with the use of Artificial Intelligence (AI)
- explain the limits of AI technologies
- describe the ethical considerations associated with the use of AI, including the issues of bias, fairness, transparency, and potential misuse
Learning Material
AI Ethics – The 5 ethical pillars of AI
IBM eLearning discussing 5 ethical pillars of AI: Fairness, Robustness, Explainability, Transparency, and Privacy.
Embrace responsible AI principles and practices
Microsoft written course introducing responsible AI across organisations, with insights from Microsoft’s approach.
Ethics in the Age of Generative AI
LinkedIn Learning visual course discussing ethical concerns when deploying GenAI tools and products.
Explore responsible AI
Microsoft written course exploring ethical principles, best practices, and global implications of human-AI interaction.
Introduction to Responsible AI – IBM
Amazon Web Services (AWS) course providing an overview of what responsible AI is and why it is important in the context of generative AI.
Responsible Artificial Intelligence Practices
AWS course defining responsible AI, its challenges, and developing responsible AI systems.
Sustainability Strategies with Generative AI
AWS course introducing the Sustainability Pillar of the AWS Well-Architected Framework to guide reducing the carbon footprint of Gen AI.
Introduction to Responsible AI – IBM
Google course discussing the need for responsible AI in organisations and the impact of project decisions on responsible AI.