Transparency Report (AI)
A periodic public disclosure by AI companies detailing their models' capabilities, safety measures, usage statistics, and incident reports — increasingly required by regulation.
The EU AI Act requires foundation model providers to publish transparency reports covering training data, energy consumption, and model capabilities. Meta, Google, and OpenAI publish periodic transparency reports on content moderation and AI system performance. The Stanford Foundation Model Transparency Index evaluates how transparent major AI labs are across 100 indicators — no company scored above 75% in 2024. Transparency reporting helps build public trust, enables independent evaluation, and provides regulators with the information needed for effective oversight of AI systems.
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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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