TALAMANA · A WAY IN · CURIOUS MINDS
Curious Minds
Understand the AI already shaping what you see, choose and make.
The questions this way in answers
- Where am I already meeting AI?
- How does a model learn from examples?
- Why can AI sound confident and still be wrong?
Routes
- AI is already in your day — 3 ideas, about 7 minutes. Recognise one machine-made choice you met today, and why it can be wrong.
- Why machines can be confident and wrong — 8 ideas, about 18 minutes. Understand one mechanism, detect one failure mode, verify one output.
- A complete path — 21 ideas, about 55 minutes.
Where it starts
- AI is already in your day — Your phone, spell-check and feed are already making small choices for you.
- Machines learn from examples — The examples are the teacher, so bad examples teach badly.
- Machines get things wrong — A machine gives a wrong answer as fast and neatly as a right one.
- People stand behind the machine — A machine looks like it works alone, and it never does.
- Confident is not correct — Confidence is a property of the writing, not evidence about the world.
- Your data has value — Another organisation's computers may keep what you upload, and you cannot take it back.
- Weigh where the answer came from — Find a second source that does not copy the first, and ask what each could know.
- Every output is a draw — Judging a tool by one output is like judging a die by one roll.
Open this on the map · The complete map · Logika · RBDS AI Lab, India.