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Start with the question in front of you. These public guides connect a practical decision to evidence, limits, and the information you need to check.

Course and assessment instructions can set different conditions. Your examiner or module team is the right place to confirm what is allowed for a specific task.

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13 guides found

How AI answers and why it can be wrong

Understand the system

A practical mental model for reading generative-AI output without mistaking fluency for evidence.

What confidence should I place in this output, and what should I verify?

Decide when and how to use AI responsibly

Study and teach

A repeatable way to use AI without giving away the reasoning, practice, or judgement you need to develop.

Does AI add value to this task without replacing the learning I need to do?

Verify and declare AI-assisted work

Rules, tools and data

Check the result and explain material AI assistance without confusing transparency with permission.

Can I defend this result and explain what the system contributed?

TUM AI tools, data, and support

Rules, tools and data

Find TUM and TUM-related AI services, along with the official information to check before using them.

Which route fits my task, and where can I verify access and data conditions?

Prompts, context and agents

Understand the system

See what reaches a model, explore real tokenization and set clear boundaries for AI actions.

What information does the system receive, and what can it do with it?

Learning, delegation and verification

Study and teach

Study with bounded help, check code and sources, and compare two delegation briefs using synthetic data.

How can I use AI assistance and still learn to do the work myself?

Run a local model and check the data route

Rules, tools and data

Try LM Studio or Ollama with synthetic material, verify offline operation, and check storage, access, and rights separately.

Can I run this task on my computer, and what still needs protection?

Create and assess generated media

Media and critical judgement

Understand diffusion, use generated media for a clear purpose, and assess content through sources, signed history and the limits of detection.

What can I create with generated media, and what can I establish about media I receive?

Bias, ranking and the costs of AI use

Media and critical judgement

Examine how systems fill evidence gaps and rank content, interpret energy and water estimates, and choose a useful place for AI in your routine.

What shapes the answer or recommendation I receive, and what does using it cost?

Evaluate AI systems and choose your strategy

Media and critical judgement

Read model and system cards, question benchmark and pricing claims, and write a private strategy for what you delegate and verify.

Is this AI system suitable for my task, and what work should remain mine?

Check AI rules, data, and rights

Rules, tools and data

Find the rule for your role and task, read the current EU AI Act dates, and check permission for inputs and reuse.

Which rule applies to this use of AI?

Set clear expectations for teaching with AI

Study and teach

Start with learning outcomes, define assistance for each task, and communicate assessment, disclosure, and access conditions.

What should students do themselves, and where can AI help?

English/German AI glossary

Reference

Brief definitions and German counterparts for 35 recurring terms in the AI Literacy course.

Which term will I hear in an English guide or a German lecture?

Looking for a sequence? Read the planned course. For a term, use the English and German glossary. For a correction or question about this website, see About and contact.