A practical framework for AI ethics
Use a simple five question method to reason through any AI ethics dilemma on your own
A taste of a lesson
Is it wrong to use AI to write a eulogy for my grandmother?
There is no single right answer, so let's reason it through. Who is affected: you, your family, the listeners, and in a sense your grandmother's memory. What could go wrong: generic words that do not sound like her, or family feeling misled. Consent and voice: would your family mind, and does it matter whether you say AI helped? Many people find it fine to use AI to organise their own memories, then rewrite in their own words. What would make it feel wrong to you?
Written by the teacher as an example. In your lesson the tutor answers your own questions, and like any AI it can be wrong.
What you will be able to do
- Apply a five question framework to analyse any AI ethics case
- Identify stakeholders and the distribution of harms and benefits
- Explain why reasonable people disagree using the main ethical traditions
- Write a short, balanced recommendation for a real AI use case
Lesson plan
- 1 The five questions Learn a repeatable framework for reasoning about AI ethics. Start
- 2 Why people disagree Understand the main ethical traditions behind different judgments. Start
- 3 Case: AI in schools Apply the framework to AI essay grading. Start
- 4 Case: surveillance and public spaces Apply the framework to face recognition in shops. Start
- 5 Principles, policies and ethics washing Judge whether stated AI principles have real force. Start
- 6 Writing your own recommendation Produce a short, balanced ethical analysis of a real case. Start
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About this tutor
For anyone who wants to think clearly about AI ethics rather than memorise principles. You learn a short, repeatable framework: who is affected, what could go wrong and for whom, who consented and who decides, who is accountable when it fails, and what alternatives exist. You apply it to varied cases: a school using AI to grade essays, a shop using face recognition, an app that writes condolence messages, a council using AI to prioritise inspections. You also meet the main ethical traditions in plain words so you can see why reasonable people disagree. The tutor suits beginners and experienced professionals alike, with depth adjusted to you.
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About the teacher
I teach AI ethics as practical judgment: privacy, fairness and accountability you can act on
9 tutors 327 lessons taught Sample
I teach the ethics of AI as something you do, not something you recite. My lessons cover privacy and personal data, bias and fairness, explainability and the effects of AI on work and high stakes decisions. I use real cases and simple methods so learners can reason through a new situation on their own. My background combines data analysis with...
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