人工知能は,民主的な審議において共通点を見出すのに役立つ
Michael Henry Tessler1, Michiel A Bakker1, Daniel Jarrett1
1Google DeepMind, London, UK.
まとめ
人工知能 (AI) のメディエーターは,グループディスカッションを容易にするよう訓練され,参加者が人間によって書かれたものよりも情報的で公正な声明を生成しました. このAIのアプローチは グループが共通点を見つけ より効果的に 共通の視点に収束するのを助けます
科学分野:
- コンピュータ社会科学
- 人工知能の応用
- 人とコンピュータの相互作用
背景:
- 集団的審議は民主的な社会にとって不可欠ですが, 拡張性,効率性,公平な参加という課題に直面しています.
- 伝統的なメディエーション方法は遅いし,さまざまな視点が完全に捉えられないかもしれません.
- グループコミュニケーションとコンセンサス構築を強化するための AI ツールの開発は新興の研究分野です.
研究 の 目的:
- 人工知能 (AI) システムを訓練し,人間の集団の協議で仲介者として行動させる.
- AIによる審議の有効性を評価する.
- 人工知能によって生成された文と比べて,参加者の好みと認識された文の質を評価する.
主な方法:
- 参加者の意見や批判に基づいた共通点を表現する文言を繰り返し生成し,精製するためにAIを訓練しました.
- 5734人の参加者から収集したデータで 社会的・政治的問題について AIによる議論を行いました
- AIによって生成された文の参加者評価を情報性,明確性,バイアスについて分析した.
- 成功したグループステートメントの言語的特性を分析するためにテキストを埋め込みました.
主要な成果:
- 参加者 (N = 5734) は,人工知能によって生成された文言を,人間による文言と比較してより情報的で,明確で,公正であると評価した.
- 人工知能を媒介する議論により,議論の参加者は見解を更新し,共通の視点に収束しました.
- テキストの埋め込みは 効果的なグループ声明が 多数派の見解を認めながら 異論を統合することを示しました
- 結果は,人口統計的に代表的な英国のサンプルの仮想市民集会で成功裏に再現されました.
結論:
- 人工知能は人間の議論を効果的に仲介し 複雑な問題に関する共通点を見つけるプロセスを強化します
- 人工知能によって生成された文言は,参加者によって優れた品質 (情報提供,明確,公正) として認識されます.
- 人工知能の仲介は,代表的な市民集会で示されたように,大規模な公的議論とコンセンサス構築の改善の可能性を示しています.
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