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関連する概念動画

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When we hold a stereotype about a person, we have expectations that he or she will fulfill that stereotype. A self-fulfilling prophecy is an expectation held by a person that alters his or her behavior in a way that tends to make it true. When we hold stereotypes about a person, we tend to treat the person according to our expectations. This treatment can influence the person to act according to our stereotypic expectations, thus confirming our stereotypic beliefs. Research by Rosenthal and...
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There have been five major extinction events throughout geological history, resulting in the elimination of biodiversity, followed by a rebound of species that adapted to the new conditions. In the current geological epoch, the Holocene, there is a sixth extinction event in progress. This mass extinction has been attributed to human activities and is thus provisionally called the Anthropocene. In 2019 the human population reached 7.7 billion people and is projected to comprise 10 billion by...
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Subliminal perception refers to the processing of sensory information that occurs below the level of conscious awareness. Researchers study subliminal perception by presenting a stimulus, such as a word or image, very quickly, typically around 50 milliseconds. This rapid presentation is often followed by another stimulus, such as a pattern of dots or lines, which blocks further mental processing of the initial stimulus. As a result, if participants cannot identify the initial stimulus better...
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Perception is influenced by perceptual set, context, motivation, and emotion. Perceptual set, or perceptual expectancy, refers to the tendency to perceive things in a particular way, influenced by previous experiences and expectations. This phenomenon affects the interpretation of stimuli, creating a set of mental tendencies and assumptions that impact sensory perceptions of sound, taste, touch, and sight.
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Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
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脆弱性リスク評価における脅威インテリジェンス使用時のアルゴリズム認識

Sarah van Gerwen1, Aurora Papotti1, Katja Tuma2

  • 1Informatica, Vrije Universiteit, Amsterdam, The Netherlands.

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まとめ
この要約は機械生成です。

参加者はAI主導のサイバー脅威インテリジェンスの推奨事項を信頼しなかった。セキュリティの専門知識は信頼を高めたが、人間と人工知能（AI）の両方の情報源で知覚されるバイアスは同様であった。

キーワード:
アルゴリズム回避実験脅威インテリジェンス脆弱性リスク評価

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科学分野:

  • サイバーセキュリティ
  • 人工知能
  • ヒューマンコンピュータインタラクション

背景:

  • 政府および商業部門は、サイバー脅威インテリジェンス分析にAIを採用 increasinglyしています。
  • 自動化されたソリューションの本稼働展開の前に、人間対AIの情報源からの潜在的なバイアスを理解することが重要です。

研究 の 目的:

  • サイバー脅威インテリジェンスの情報源（人間対AI）によって導入されるバイアスを測定すること。
  • バイアスに対する参加者の専門知識（セキュリティおよび機械学習）の影響を評価すること。

主な方法:

  • 57人の修士課程学生を対象に、管理された実験を実施しました。
  • 参加者は、操作された情報源（人間の専門家またはAIアルゴリズム）を持つサイバー脅威インテリジェンスレポートを分析しました。
  • 知覚されるバイアスと推奨事項への同意を測定しました。

主要な成果:

  • 参加者はAI生成の推奨事項に同意しない傾向がありました。
  • セキュリティの専門知識が高いほど、推奨事項への同意度が高まりました。
  • 推奨事項が人間またはAIの情報源から提供されたかに関わらず、知覚されるバイアスは統計的に同等でした。
  • 情報源に関わらず、推奨事項への不同意が知覚されるバイアスの主な要因でした。

結論:

  • サイバー脅威インテリジェンスにおけるAIの導入は、Tier 1 SOCアナリストに影響を与える可能性があります。
  • 専門的な実践に結果を一般化するには、経験豊富なセキュリティ専門家によるさらなる研究が必要です。