AI curriculum
Course outline for Responsible AI
An AI system can affect people beyond its immediate task. Assess a use case for fairness, safety, privacy, and human agency before defining deployment safeguards.
About Responsible AI
An AI system can affect people beyond its immediate task. Assess a use case for fairness, safety, privacy, and human agency before defining deployment safeguards.
Responsible AI Course Objectives
- Identify affected groups and potential harms.
- Compare fairness and transparency considerations.
- Define safeguards and review criteria for deployment.
Pre-requisites
- Basic awareness of AI applications.
- Interest in organizational or product decision-making; coding is not required.
Lab Setup
- Computer with a document editor.
- Use supplied scenarios and synthetic model outputs; no personal data or model account is needed.
Detailed Course Outline
Proposed modulesModule 1: Assessing effects
- Ethics
- Fairness
- Bias
- Transparency
Practical outcome: Document stakeholders, harms, and explanation needs.
Module 2: Deployment safeguards
- Safety
- Privacy
- Human agency
- Responsible deployment
Practical outcome: Define safeguards and meaningful human choices.
Practical exercise
- Assess a fictional AI feature and produce a deployment review with unresolved risks and safeguards.
How we train
Contact us for full course details, including duration, delivery options and lab requirements.
Ask about exercises, instructor feedback and the prior knowledge you need. Tool-specific courses marked provisional may become modules in a broader course.
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