Deepfake
AI-generated synthetic media — images, video, or audio — that realistically depict events or statements that never occurred, created using deep learning techniques.
Over 500,000 deepfake videos are created monthly, with 96% being non-consensual intimate imagery. Human evaluators fail to identify AI-generated text 73% of the time. AI-generated fraud, including deepfake-assisted scams, cost businesses an estimated $25.5 billion in 2024, up 70% from the prior year. At least 45 US states have introduced legislation addressing deepfakes.
Live Data
Explore the Data
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.
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.
AI Economy Pulse
Every Friday: 3 data points shaping the AI economy this week. Cited sources. No fluff.
Latest: “AI Investment Hits $42B in Q1 2026 — Here's Where It Went”
Weekly. Unsubscribe in one click.