// MODEL OPTIMIZATION AND PROMPT SYNTAX TERM
AI Safety
Making sure AI systems don't cause harm or behave unexpectedly, especially as they become more powerful.
TECHNICAL DEFINITION
AI Safety is the field dedicated to developing and implementing methods to ensure artificial intelligence systems operate robustly, reliably, and without unintended harmful consequences, particularly concerning advanced AI capabilities and potential existential risks.
BACKGROUND
AI safety is an interdisciplinary field focused on preventing accidents, misuse, or other harmful consequences arising from artificial intelligence systems. It encompasses AI alignment, monitoring AI systems for risks, and enhancing their robustness. The field is particularly concerned with existential risks posed by advanced AI models.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- AI alignment
- safe AI
- robust AI
- trustworthy AI
USAGE NOTE
AI safety research focuses on preventing catastrophic outcomes from highly capable AI.
DEVELOPERS
Organizations developing technology related to AI Safety.
An AI safety and research company that develops general AI systems and foundation models, such as Claude, with a focus on safety, interpretability, and steerability, using methods like Constitutional AI.
A leading AI research and deployment company that integrates significant AI safety research and alignment efforts into the development of their advanced models like GPT series and DALL-E.
A Google AI subsidiary that conducts cutting-edge research across various AI fields, including dedicated efforts in AI safety, ethics, and responsible AI development.
Conducts extensive research into responsible AI, fairness, transparency, and safety, developing principles and tools to ensure the ethical and safe deployment of AI technologies.
A UK government-backed organization focused on evaluating the safety of advanced AI models and conducting research to understand and mitigate frontier AI risks.
A non-profit research organization dedicated to the technical problem of AI alignment, aiming to ensure that advanced AI systems are aligned with human values and intentions.
A non-profit organization dedicated to reducing AI-related risk, especially catastrophic and existential risk, through research, advocacy, and promoting AI safety as a global priority.
A multidisciplinary research institute at the University of Oxford that studies global catastrophic and existential risks, including risks posed by advanced artificial intelligence, contributing foundational research to AI safety.