Introduction to AI Ethics and Security
This course is designed to equip learners with the knowledge and practical skills needed to use AI ethically, safely and effectively, focusing on two core topics: AI ethics and security. In this beginner course, learners will consider the ethical impacts and security implications of AI advancements and implementations.
By the end of this course, learners will be able to:
- Understand and articulate the importance of ethics in AI applications.
- Describe and apply the four pillars of ethical AI: fairness, transparency, accountability, and outcomes.
- Understand the process for implementing human-centred AI.
- Identify and evaluate key ethical issues related to AI across various sectors.
- Apply ethical AI frameworks to practical scenarios, proposing solutions to ethical challenges.
- Define and apply core principles of AI security, including data protection, privacy, and governance.
- Evaluate the security implications of cloud-based and local AI solutions to select the appropriate infrastructure for specific use cases.
- Define hallucinations in AI, understand their causes, and apply strategies to minimize inaccuracies in AI-generated content.
This course is a great starting point for AI-curious learners who wish to understand the nuances of safe and ethical use of AI.
