KnowledgeInSight
AI Literacy
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Course 2 of 3

Using AI Ethically and Productively

This course is about your own use of AI. You'll learn to test a model on the tasks you care about, check what it tells you, and notice when it is flattering you or reflecting a bias. You'll build working methods for writing, analysis, and delegating to agents that keep your judgment in charge. You'll also work through the questions that come with regular use: what to disclose, what never to paste in, and when relying on AI builds your skills or wears them down.

3 modules · 9 lessons · 87 items · 12h 7m

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Who this is for

You can hold a conversation with an AI chatbot and want to use these tools well in real work. The examples come from knowledge work and teaching, and you don't need any technical background.

What you will learn

  • Design and run a small test to judge whether a model is fit for a task you care about
  • Verify the claims, sources, and citations in an AI output before you rely on them
  • Write prompts and set up workflows that keep your own judgment in control
  • Set rules for disclosure, privacy, and dependence that fit your work

Contents

  1. Module 1 Evaluating Models and Outputs 3 lessons

    This module is about judging what an AI system gives you. You'll be able to test a model on work that matters to you, check its claims and citations, and spot agreement-seeking and bias in its answers. These skills matter because an AI answer looks the same whether it's right or wrong, so the checking has to come from you.

    Module overview and further reading

    1. 1.1Evaluating AI: Testing a model on your own tasks1h 3m
    2. 1.2Evaluating AI: Verifying claims, sources, and citations1h 3m
    3. 1.3Evaluating AI: Bias, sycophancy, and persuasion in outputs1h 33m
  2. Module 2 Working Methods 3 lessons

    This module covers how to work with AI on real tasks. You'll be able to write a prompt that gives a model what it needs, choose how to divide a writing or analysis task between yourself and AI, and decide what to hand to an agent and where to check its work. The methods are tool-neutral, so they'll still apply when the products change.

    Module overview and further reading

    1. 2.1Working Methods: Prompts and context1h 3m
    2. 2.2Working Methods: Thinking, writing, and analysis with AI1h 3m
    3. 2.3Working Methods: Delegating to agents and keeping oversight1h 33m
  3. Module 3 Responsible Use 3 lessons

    This module takes up the questions that come with regular AI use. You'll be able to decide what to disclose and who answers for the result, judge what's safe to put into a tool and what rights attach to what comes out, and weigh the evidence on whether AI use builds or erodes your skills. The module describes rules and research and helps you set your own practice; it doesn't give legal advice.

    Module overview and further reading

    1. 3.1Responsible Use: Disclosure, authorship, and accountability1h 3m
    2. 3.2Responsible Use: Privacy, confidentiality, and copyright in your own use1h 3m
    3. 3.3Responsible Use: Dependence, skill, and learning1h 33m

Course project

A Tested AI-Use Protocol You'll write a one-page protocol for one task you do regularly: how you tested AI on it, how you check the results, and what your rules are for disclosure and data. It's worth doing because a written protocol turns good intentions into something you can… 3 items · 1h 10m