What is AI Safety?
AI Safety
AI Safety is a field of research focused on ensuring that artificial intelligence systems behave predictably, avoid causing harm, and remain aligned with human interests. It spans technical alignment, risk mitigation, and the study of existential risk from advanced systems.
Why It Matters for AI Builders
Defines the safety alignment and security constraints of user-facing systems during policy creation, alignment training, and jailbreak defense; implementing AI Safety helps builders isolate instructions from injection exploits.
Detailed Deep Dive
AI safety is a technical research field focused on preventing artificial intelligence systems from behaving in ways that harm humans or act counter to designer intent. It spans short-term risks, such as model hallucinations, toxic outputs, and jailbreaks, as well as long-term risks like loss of control over highly capable autonomous agents. AI safety research encompasses alignment techniques (like RLHF and Constitutional AI), rigorous evaluation benchmarking, and the development of robust guardrails.
Frequently Asked Questions
Q:What is the alignment problem in AI safety?
The difficulty of ensuring that an AI system's goals match human values, especially when the model is smarter than its creators.
Q:What are capability guardrails?
Restrictions placed on AI access to critical infrastructure, networks, or dangerous information to prevent misuse.
Quick Facts
- CategoryAlignment & Safety
- Key ApplicationPolicy creation, alignment training, and jailbreak defense
Coverage Trend12 Weeks
Related AI Terms
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AI Safety Media Coverage & Intelligence
OpenAI's new reasoning technique alarms AI safety experts
OpenAI's new Astra model will use "recurrent depth," a technique that allows the model to operate outside of the sequential thinking that characterizes most...
Trump may be forced to reveal secret rules feds use for AI safety testing
Trump's secret reviews of frontier AI model may hide corruption, lawsuit says.
OpenAI says California should strengthen its AI safety bill
OpenAI is calling for California to strengthen SB 53, an AI safety bill that the company previously opposed.
Offering Zero Data Retention for frontier models
OpenAI reaffirms Zero Data Retention for eligible API customers and previews Private Safety Processing for advanced AI safety without compromising data privacy.
Offering Zero Data Retention for frontier models
OpenAI reaffirms Zero Data Retention for eligible API customers and previews Private Safety Processing for advanced AI safety without compromising data privacy.
As AI safety concerns mount, three pioneers make the case for staying open
At Ai4, three of the world's most respected AI experts - Geoffrey Hinton, Fei-Fei Li, and Andrew Ng - debated regulation, open source access, and how America...
Thinking Machines Co-founder Lilian Weng Left the Company Citing Health Reasons, Then Joined OpenAI
Weng previously served as the VP of AI Safety Research at OpenAI.
Industry Leaders Unite in Open Secure AI Alliance for AI Safety and Security
Open source software is a critical pillar of the global economy. It underpins cloud computing, financial services, manufacturing, telecommunications...
Our views on AI policy and political advocacy
Our approach to AI policy and political advocacy, transparency, support for thoughtful regulation and AI safety, and that no outside political group speaks on...