人工知能との対話を通じて 陰謀論の持続的減少
Thomas H Costello1,2, Gordon Pennycook3, David G Rand1
1Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA.
まとめ
パーソナライズされた対話により 陰謀論の信条は20%減少しました この効果は2ヶ月間持続し 他の陰謀論に一般化され 証拠に基づいた介入が 効果的であることを示しました
科学分野:
- 心理学
- 人工知能
- 社会科学
背景:
- 陰謀説は頑固で しばしば心理的なニーズを満たし 反証に抵抗します
- これらの信念を修正する以前の試みは 十分な説得力のある証拠や 適合した証拠によって制限されました
研究 の 目的:
- 独創的なAIによる 個別化された証拠に基づいた対話が 陰謀論の信念を効果的に 軽減できるかどうかを評価する
- このような介入の持続性と一般化性を評価する.
主な方法:
- GPT-4ターボを使って 個人的な対話で 陰謀を信じていると特定された 2190人を巻き込んだ
- 具体的な陰謀論をテーマにした対話で 客観的で説得力のある反証が提供される
主要な成果:
- 約20%の陰謀説の減少が観察されました.
- 信念の減少は2ヶ月間続きました そして様々な陰謀論に一般化しました
- 介入は関係のない陰謀の信念にも 影響を及ぼし 行動の意図も変えました
結論:
- 人工知能を駆使した 個別化された 証拠に基づいた対話は 陰謀論の信念を 効果的に減らすことができます
- 根付いた陰謀説を 修正するには 説得力のある証拠が不可欠です
- これらの発見は 誤った情報や陰謀説を 解決する有望な道を示しています
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