Model Card
A standardized documentation template for AI models that describes their capabilities, limitations, intended use cases, training data characteristics, and performance across demographic groups.
Model cards were introduced by Google researchers in 2019 and have become standard practice for responsible AI release. They typically include model description, intended use, out-of-scope use cases, training data demographics, evaluation metrics disaggregated by group, ethical considerations, and limitations. Hugging Face requires model cards for models hosted on its platform. The EU AI Act mandates similar documentation for high-risk AI systems. Model cards promote transparency and help downstream users make informed decisions about whether a model is appropriate for their use case.
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Related Terms
Artificial General Intelligence (AGI)
A hypothetical form of AI that can understand, learn, and apply knowledge across any intellectual task at or above human level, rather than being specialized for specific tasks.
AI Alignment
The research field focused on ensuring AI systems behave in accordance with human values and intentions, particularly as systems become more capable.
AI Safety
The interdisciplinary field focused on preventing AI systems from causing harm, encompassing alignment, robustness, interpretability, and governance of AI technologies.
Deepfake
AI-generated synthetic media — images, video, or audio — that realistically depict events or statements that never occurred, created using deep learning techniques.
EU AI Act
The European Union's comprehensive AI regulation, which entered into force on August 1, 2024, classifying AI systems by risk level and imposing requirements from transparency disclosures to outright bans.
Hallucination
When an AI model generates plausible-sounding but factually incorrect or fabricated information, presenting it with the same confidence as accurate responses.
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