Karka

Free course

Responsible AI at Work

Awareness-level guidance on generative AI at work: what it can do, where it fails, and what you must never paste into it.

What this course does not do

Awareness-level learning only: it builds shared understanding and makes no competence claim about approving, procuring or governing AI systems. It is not legal advice on AI, data protection or intellectual property. Obligations differ by jurisdiction and are changing, so your organisation's own AI, privacy and security policies take precedence over anything described here.

AwarenessBeginnerProfessional Development
6 modules 30 lessons 3 enrolled ~4h of material

First three lessons free. Full access with Founding Annual Access, ₹3,999 for your first year.

Responsible AI at Work

By the end

What you'll build

  • Explain in plain terms what a generative AI tool is doing when it produces an answer
  • Check an AI-produced answer for accuracy, bias and missing context before relying on it
  • Decide what information may and may not be entered into a tool, including personal and confidential data
  • Describe who remains accountable for work produced with AI assistance
  • Recognise decisions that require human review before they affect a person
  • Raise a concern about an AI-assisted output or decision through the right channel

Curriculum

What's inside

6 modules · 30 lessons

  1. 01

    What these tools actually do

    5 lessons
    • Prediction, not understanding: a plain-English model of generative AI
    • Training data, prompts and outputs
    • Why the same question can produce different answers
    • Where the limits show up in everyday work
    • What the tool is actually doingmatch pairs
  2. 02

    Accuracy, bias and verification

    5 lessons
    • Checking an AI answer before you rely on it
    • Confident wrong answers and how to spot them
    • Bias in data and in outputs
    • Tasks where verification is cheap and tasks where it is not
    • Checking before you rely on itfill blank
  3. 03

    Confidentiality, personal data and inputs

    5 lessons
    • Deciding what you may and may not paste into a tool
    • Personal data, client data and commercial confidence
    • Approved tools, unapproved tools and why the difference matters
    • What happens to what you type
    • Before you paste it insequence order
  4. 04

    Accountability and disclosure

    5 lessons
    • Owning the output: you remain responsible for the work
    • When to tell people that AI was used
    • Human review before a decision affects a person
    • Intellectual property questions worth asking first
    • The shortlistscenario
  5. 05

    Using it well in everyday work

    5 lessons
    • Three low-risk uses and three you should escalate first
    • Drafting, summarising and rewriting
    • Prompting clearly and iterating on the result
    • Raising a concern about an AI-assisted decision
    • Four parts, three tasksmatch pairs
  6. 06

    Practice and check

    5 lessons
    • Name it correctlymatch pairs
    • Producing a document with AI help, in the right ordersequence order
    • The words that carry the meaningfill blank
    • The summary due at ninescenario
    • Course quizquiz

The shape of it

How this course works

Short lessons

30 lessons across 6 modules, each small enough to finish in one sitting.

Practice as you go

Every lesson ends with a small space for what you noticed — the doing is the learning.

Progress you can see

Your progress is saved lesson by lesson, ready whenever you come back.

Ready when you are.

Make an account and this course opens up — your progress is saved from the very first lesson.