Risk on English AI Terms Dictionary

Superintelligence ban

Sat, 18 Jul 2026 10:17:11 +0000

Definition

This concept refers to the debate and potential policy regarding the restriction or complete halt of research into Artificial Superintelligence (ASI). Proponents argue that ASI poses existential risks due to uncontrollable power and misalignment with human values. Opponents contend it stifles innovation and beneficial technological progress. The term encompasses legal frameworks, international treaties, or voluntary moratoriums aimed at preventing the creation of entities smarter than humans without robust safety guarantees.

Generative artificial intelligence dependency

Sat, 18 Jul 2026 09:59:34 +0000

Definition

This concept refers to the strategic and operational reliance businesses place on generative AI models to perform essential tasks such as content creation, customer service, and data analysis. As adoption grows, dependencies increase, exposing organizations to risks like model hallucinations, data privacy breaches, vendor lock-in, and service outages. Managing this dependency involves implementing robust governance, fallback mechanisms, and continuous monitoring to ensure resilience against AI-specific failures while maintaining operational continuity.

AI Safety

Sat, 18 Jul 2026 07:38:16 +0000

Definition

AI safety encompasses research and practices aimed at ensuring that autonomous systems behave in ways that are beneficial and non-harmful to humans. It addresses risks such as bias, misinformation, security vulnerabilities, and loss of control over powerful models. Key areas include robustness testing, value alignment, and fail-safe mechanisms. The goal is to build reliable systems that can operate safely in complex, real-world environments without causing physical, digital, or social damage, particularly as AI capabilities increase.