ailike

Ailike is a neologism used in contemporary AI discourse to describe the extent to which an artificial system exhibits behaviors and capabilities that resemble human intelligence. The term blends AI with the suffix -like to signal likeness rather than claiming equivalence.

Definition and scope: Ailike concerns observable attributes such as learning, reasoning, problem solving, perception, planning, and natural-language interaction. It is a spectrum and not a synonym for general artificial intelligence; a system can be highly ailike in specific tasks while remaining narrow in scope. The notion emphasizes human-centric perceptions of intelligence rather than objective capabilities alone.

Evaluation methods: There is no standardized measurement. Assessing ailike typically relies on behavioral benchmarks, user studies, conversational quality, and apparent autonomy in adapting to new tasks. The Turing test and related conversational evaluations are often cited as historical touchstones. Because ailike is about appearance and interaction quality, it should be distinguished from true AGI or robust safety guarantees.

Applications and implications: Designers may use ailike as a shorthand for how human-like a system seems, informing user interface choices, trust calibration, and risk assessment. High ailike can improve engagement but may induce overtrust, anthropomorphism, or deception, especially when system limitations are not transparent.

Limitations and critique: The concept is subjective and culturally dependent; it risks conflating appearance with intelligence. Different domains may define ailike differently, and its lack of formal standardization limits cross-study comparability.

See also: Artificial intelligence, Turing test, anthropomorphism, explainability, human-computer interaction.