AI Safety
The interdisciplinary field focused on preventing AI systems from causing harm, encompassing alignment, robustness, interpretability, and governance of AI technologies.
The AIAAIC Repository has documented over 4,200 AI-related incidents, growing 56% year-over-year. Among AI researchers, 52% believe there is a 10%+ probability of an extremely bad outcome from AI. AI-generated fraud cost businesses an estimated $25.5 billion in 2024. Only 32% of organizations using AI have formal governance frameworks.
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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.
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.
Reinforcement Learning from Human Feedback (RLHF)
A technique for aligning AI models with human preferences by having human evaluators rank model outputs, then using those rankings as a reward signal to improve the model's behavior.
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