Tag archive
Publications tagged with AI and humans.
The controversy over Olga Tokarczuk's use of AI exposed the limits of a binary label. A preregistered study of 429 adults suggests that authorship is better discussed through direction, selection, revision, and final decision authority than through a supposed percentage of AI contribution.
ReadWhat current evidence says about AI, learning and independent thought, and why ready-made answers and well-designed scaffolding produce different outcomes.
ReadA research-informed essay on how AI can amplify goals, become a moral alibi and obscure institutional responsibility - while real limits of human control still matter.
ReadHow generative AI compresses the path from sources to answers, and why trust must be calibrated through provenance, uncertainty, disagreement and human responsibility.
ReadWhy talking to AI can feel fluent, close and surprisingly easy: not because the model understands us like another person, but because it reflects language, framing, expectations and the need for meaning.
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