Fabricated sources and biased assessments from AI assistants are often adopted in day-to-day work because they sound plausible. You learn to evaluate AI results critically instead of trusting them blindly.
25 min
Multimodal
Über 30 Sprachen
Teilnahmebescheinigung
AI assistants phrase things convincingly, even when they are wrong. Fabricated sources, biased assessments, and subtle manipulation through training data or targeted inputs are often adopted in day-to-day work because they sound plausible. Art. 4 EU AI Act therefore requires AI literacy that goes beyond operating the tools: employees must understand how results are produced, where the sources of error lie, and when human review is indispensable.
00 Fundamentals: How AI generates answers
01 Recognizing hallucinations and bias
02 Checking results systematically
03 Manipulation and disinformation
04 Responsibility and human oversight
05 Summary
06 Knowledge check incl. certificate of completion
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