AI Conversations: Share the Context Behind the Words
Explore why intended meaning can feel more obvious than it is. Research on sarcasm, e-mail and AI expectations offers a useful check on the context behind an instruction.
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Empowering Minds with AI, Psychology and Digital Innovation
Explore why intended meaning can feel more obvious than it is. Research on sarcasm, e-mail and AI expectations offers a useful check on the context behind an instruction.
Explore research on AI delegation, dishonest requests and third-party review. A fictional project update shows how to keep truthful reporting within the brief.
A useful AI follow-up connects to what you have said and what remains unclear. Explore research on question-asking and review the next question in its context.
Compare AI goal coaching research on plan quality, reported progress and accountability. A fictional portfolio project shows how to review what happens after the chat.
Explore psychological reactance and AI recommendations. Separate resistance to advice from the options actually available, and make the reasons for a shortlist easier to examine.
Use sunk-cost research to review AI project advice, separating unrecoverable past effort from useful assets, future commitments and the evidence behind the next decision.
Research on task transitions suggests a useful question for AI-assisted work: what will you need when you return? Explore a clearly labelled note-taking routine.
Repeated claims can feel familiar while their evidence remains unchecked. Explore truth-judgement research and a practical source-checking routine for AI-assisted publishing.
AI use can influence judgements of effort and competence. Examine the research and make the decisions, checks and contribution behind the work easier to assess.
Review what happens after AI-assisted work. Separate useful output, personal control and interest in the next task, with a careful look at motivation research.