Artificial Intelligence (AI) · Beginner level

Beginner level · Module 5 of 5 · 10 guided hours

AI Ethics and Responsible Use

Understand bias, privacy, misinformation and accountability in AI, and apply responsible practices at work.

Learning objectives

  • Explain how bias enters AI systems
  • Protect personal and confidential data when using AI
  • Recognise misinformation and deepfakes and apply accountability

Topics

  • bias and fairness
  • privacy and data protection
  • AI tools' data use policies
  • misinformation and deepfakes
  • transparency and accountability
  • responsible use guidelines

Lessons

  1. Lesson 1 Bias and Fairness

    Understand how AI systems can treat people unfairly and what can be done about it.

    biased dataunequal performancefairnesshuman oversight

  2. Lesson 2 Privacy and Data Protection with AI Tools

    Protect personal and confidential information when using AI tools.

    personal dataconfidential informationdata use policiesapproved tools

  3. Lesson 3 Misinformation, Deepfakes and Accountability

    Recognise AI-generated misinformation, use AI transparently and take responsibility for AI-assisted work.

    deepfakesmisinformationdisclosureaccountability

Practical activity

Finish the AI Use Guide for the level project, including rules on privacy, verification, fairness and disclosure.

Expected outcomes

  • Responsible AI habits
  • A practical staff guide

Assessment

The level project assessed against its criteria, with a presentation.

Free taster lesson AI Ethics, Bias & Responsible Use Read a free self-study lesson on this topic in the Free Course Library.

Taught live by an instructor — online or in person. Free course lessons are for self-study and do not lead to a certificate — see registration options.