AI detection has improved sharply on one axis: it rarely accuses innocent writers now. On the axis that decides cases, catching text that was deliberately disguised, far less has changed. And even a perfect detector would answer the wrong question.

Does generative AI harm learning or support it? It depends on the task, the stage of learning and what the assessment is meant to demonstrate. AIAS 2.1 turns that complexity into a practical assessment-design framework.

Since August 2026, new Claude models have been weaving an invisible watermark into their text. For universities, that sounds like a useful new signal for AI detection. But a watermark answers a different question from the one examination boards actually face, and Anthropic says so itself.

Bavaria requires documentation but does not say what it consists of. TEQSA describes what process evidence is but cannot make it binding. Both aim to make documentation practically workable. Here is what that looks like and why almost nothing changes for students.

Within weeks of each other in the summer of 2026, two agencies on two continents reached the same conclusion by entirely different routes. Australia’s TEQSA argues from sector practice; Bavaria legislates. Both land on documenting the path to the text.

Bavaria’s draft law inverts the default: allow AI in unsupervised written exams, but document its use. What the draft says — and what it leaves open.

Dr. Monika Oertner has put the academic core competencies online as a rotatable deltahedron: it answers the question of what AI use does to it. Why this model convinces us and how our corroboration standard protects the spaces where those competencies are trained.

Translate a source and plagiarism checkers go blind: research shows it. How semantic detection keeps academic integrity intact in the AI era.

When the available evidence from academic integrity tools is not yet conclusive,, the oral defense is the fix… if it can scale. Here’s how targeting it to flagged passages makes it work.

An academic writing consultant shows: single ChatGPT pass, and Turnitin drops from 86% to 0%. How Mentafy’s S³ still traces a para-plagiarism’s semantic trail back to the source.