なぜ"オープン"AIシステムは実際に閉じられているのか,そしてなぜこれが重要なのか
David Gray Widder1, Meredith Whittaker2,3, Sarah Myers West4
1Digital Life Initiative, Cornell University, New York City, NY, USA. david.g.widder@gmail.com.
Nature
|November 28, 2024
まとめ
オープンな人工知能 (AI) に関する主張は,しばしば産業集中を遮る. AIにおける真のオープン性は 透明性と拡張性を提供しますが 集中した力を減らすのではなく 悪化させるのです
科学分野:
- コンピュータ科学
- AI エシック
- 科学・技術研究
背景:
- "オープン"人工知能 (AI) の定義と意味について議論されています.
- 現在の議論では オープンソースのソフトウェアの概念を AI に誤って適用しています
- 業界関係者は"オープン"なAIを活用し,イノベーション,民主主義,安全に関する政策に影響を与えます.
研究 の 目的:
- "オープン"AIの主張の根拠と意味を批判的に検討する.
- 人工知能システムにおけるオープン性とは何かについての分析を提供すること.
- 人工知能の開放性とパワー集中性の関係を明らかにする
主な方法:
- 人工知能の開発と導入の分析
- AIモデル,データ,労働力,フレームワーク,コンピューティングリソースの検討
- オープンソースのソフトウェアモデルとの比較分析
主要な成果:
- "オープン"AIは 透明性,再利用性,拡張性などの利点を提供します.
- 最大のオープン性は 監視と実験を可能にします
- AIセクターにおける権力の集中は オープン性だけでは 妨げられません
結論:
- "オープン"なAIに関する言辞は 力の集中を減らすのではなく 統合するために使えます
- 大手企業がオープンソースのソフトウェアを 採用していることは 現在のAIのトレンドと並行しています
- 人工知能における"オープンさ"に関する政策の定義は極めて重要であり,慎重に検討する必要がある.
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