Tehisintelligendis

Tehisintelligendis is a neologism used in discussions of artificial intelligence to refer to the study and analysis of AI systems from within their own architectures and decision-making processes. The term is not part of formal AI taxonomy; it appears mainly in philosophical, linguistic, or speculative discourse as a way to think about AI from an internal perspective rather than as external tools.

Conceptually, tehisintelligendis encompasses topics such as interpretability of internal representations, the transparency of learned strategies, the alignment of internal objectives with human values, and governance of autonomous systems. Proponents argue that examining an AI's internal reasoning can help assess reliability, safety, and controllability, while critics warn that the notion can be vague and risk conflating engineering concerns with philosophy.

In practice, discussions around tehisintelligendis often intersect with broader debates on AI ethics, safety-by-design, and model auditing. It is used more as a frame or lens in interdisciplinary work than as a standardized methodology.

See also: artificial intelligence, AI alignment, AI safety, AI governance, interpretability, machine ethics.