太陽光地球工学の研究は地政学的な行き詰まりに直面している
1Emmett Institute, School of Law, University of California Los Angeles, Los Angeles, CA, USA.
まとめ
人工知能 (AI) 研究における"科学を第一に"という戦略は効果的でないことが証明されています. 人工知能の責任ある開発と研究を 促進できるでしょう
科学分野:
- 人工知能
- AI エシック
- コンピュータ科学
背景:
- 人工知能 (AI) 研究に先立つ"科学第一"のアプローチは,安全性に関する懸念を十分に解決していない.
- このアプローチでは 予防的なリスク軽減よりも 急速な進歩を優先します
研究 の 目的:
- AI研究における"科学第一"モデルの欠点を評価する.
- 責任あるAI開発を確保するために,非展開協定などの代替枠組みを探求する.
主な方法:
- "科学第一"AI研究パラダイムの歴史的軌跡と成果の分析
- 規制メカニズムとしての非展開協定の概念的検討
主要な成果:
- "科学を第一に"というアプローチは,高度なAIに関連する潜在的なリスクを防ぐことに明らかに失敗しています.
- 非展開協定は,責任あるAIの研究開発を促進するための実行可能な代替案です.
結論:
- AIには"科学第一"のモデルから より慎重で規制されたアプローチへの移行が必要である.
- 非展開協定は,人工知能の研究におけるイノベーションと安全のバランスを取るための有望な経路です.
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