AI Act (EU)
The European Union's landmark comprehensive AI regulation that establishes a risk-based framework for governing AI systems, with requirements ranging from transparency to outright bans on certain uses.
The AI Act entered into force on August 1, 2024, with full enforcement beginning in August 2026. It classifies AI systems into four risk tiers: unacceptable (banned practices like social scoring), high-risk (subject to strict requirements), limited risk (transparency obligations), and minimal risk (no regulation). Fines range up to 35 million euros or 7% of global revenue. The Act has influenced AI regulation worldwide, with countries studying its approach. Foundation model providers must comply with transparency requirements including energy consumption disclosure and copyright-related training data documentation.
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Related Terms
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.
Responsible AI
The practice of developing and deploying AI systems in ways that are ethical, fair, transparent, and accountable — encompassing bias mitigation, explainability, and governance frameworks.
Federated Learning
A privacy-preserving machine learning approach where models are trained across multiple decentralized devices or servers without sharing the raw data, keeping sensitive information local.
DeepSeek
A Chinese AI lab that developed highly efficient open-source large language models, demonstrating that competitive performance is achievable at a fraction of the training cost of Western frontier models.
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