Schmid, Stefka ; Pham, Bao-Chau ; Ferl, Anna-Katharina (2024)
Trust in Artificial Intelligence: Producing Ontological Security through Governmental Visions.
In: Cooperation and Conflict, 2024
doi: 10.1177/00108367241288073
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
With developments in Artificial Intelligence widely framed as security concern in both military and civilian realms, governments have turned their attention to regulating and governing AI. In a study of US, Chinese, and EU AI documents, we go beyond instrumental understandings of AI as a technological capability, which serves states' self-interests and the maintenance of their (supra)national security. Our specific interest lies in how AI policies tap into both problem-solving approaches and affective registers to achieve both physical as well as ontological security. We find that in governmental visions, AI is perceived as a capability that enhances societal, and geopolitical interests while its risks are framed as manageable. This echoes strands within Human-Computer Interaction that draw on human-centered perceptions of technology and assumptions about human-AI relationships of trust. Despite different cultural and institutional settings, the visions of future AI development are shaped by this (shared) understanding of human-AI interaction, offering common ground in the navigation of innovation policies.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2024 |
| Autor(en): | Schmid, Stefka ; Pham, Bao-Chau ; Ferl, Anna-Katharina |
| Art des Eintrags: | Bibliographie |
| Titel: | Trust in Artificial Intelligence: Producing Ontological Security through Governmental Visions |
| Sprache: | Englisch |
| Publikationsjahr: | 19 Oktober 2024 |
| Verlag: | Sage Publishing |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Cooperation and Conflict |
| Jahrgang/Volume einer Zeitschrift: | 2024 |
| DOI: | 10.1177/00108367241288073 |
| Kurzbeschreibung (Abstract): | With developments in Artificial Intelligence widely framed as security concern in both military and civilian realms, governments have turned their attention to regulating and governing AI. In a study of US, Chinese, and EU AI documents, we go beyond instrumental understandings of AI as a technological capability, which serves states' self-interests and the maintenance of their (supra)national security. Our specific interest lies in how AI policies tap into both problem-solving approaches and affective registers to achieve both physical as well as ontological security. We find that in governmental visions, AI is perceived as a capability that enhances societal, and geopolitical interests while its risks are framed as manageable. This echoes strands within Human-Computer Interaction that draw on human-centered perceptions of technology and assumptions about human-AI relationships of trust. Despite different cultural and institutional settings, the visions of future AI development are shaped by this (shared) understanding of human-AI interaction, offering common ground in the navigation of innovation policies. |
| Freie Schlagworte: | Peace, Projekt-TraCe, A-Paper, Ranking-ImpactFactor, AuswahlPeace |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Wissenschaft und Technik für Frieden und Sicherheit (PEASEC) Forschungsfelder Forschungsfelder > Information and Intelligence Forschungsfelder > Information and Intelligence > Cybersecurity & Privacy |
| Hinterlegungsdatum: | 23 Jan 2025 09:29 |
| Letzte Änderung: | 23 Jan 2025 09:29 |
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