Fig. 2: The interdisciplinarity of machine behaviour.

Machine behaviour lies at the intersection of the fields that design and engineer AI systems and the fields that traditionally use scientific methods to study the behaviour of biological agents. The insights from machine behavioural studies provide quantitative evidence that can help to inform those fields that study the potential effects of technology on social and technological systems. In turn, those fields can provide useful engineering practices and scientific questions to fields that examine machine behaviours. Finally, the scientific study of behaviour helps AI scholars to make more precise statements about what AI systems can and cannot do.