Natural Language Generation bedeutet: KI-Faehigkeit zur automatischen Generierung von natuerlichsprachlichem Text. Das ist wichtig, weil KI-Systeme heute überall eingesetzt werden und Regeln brauchen, damit sie sicher und fair funktionieren.
KI-Faehigkeit zur automatischen Generierung von natuerlichsprachlichem Text. [NIST GenAI RMF] (2023) Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence. https://www.whitehouse.gov/briefing-room/presidential- actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of- artificial-intelligence/ The White House (2022 [NIST GenAI RMF] Standards and Technology (2022) Towards a Standard for Identifying and Managing Bias in Artificial Intelligence https://www.nist.gov/publications/towards-standard-identifying-and- managing-bias-artificial-intelligence Northcutt, C. et al. (2021) Pervasive Label Errors in Test Sets Destabilize Machine [NIST GenAI RMF] and metadata can also empower AI Actors responding to and managing AI incidents. 53 Appendix B. References Acemoglu, D. (2024) The Simple Macroeconomics of AI https://www.nber.org/papers/w32487 AI Incident Database. https://incidentdatabase.ai/ Atherton, D. (2024) Deepfakes and Child Safety: A Surve
KI-Faehigkeit zur automatischen Generierung von natuerlichsprachlichem Text.
Im Kontext von AI Governance ist Natural Language Generation eng verknüpft mit: Natural Language Processing, Foundation Model, Prompt Engineering, Ai Hallucination. Diese Konzepte bilden zusammen das Fundament einer verantwortungsvollen KI-Entwicklung und -Nutzung.
Citation
"자연어 생성 (NLG)." Open Cognition Commons Foundation. https://opencognitioncommons.org/ko/glossary/natural-language-generation. CC-BY 4.0. Machine-readable metadata
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