  This paper outlines a perspective on the future of AI, discussing directions
for machines models of human-like intelligence. We explain how developmental
and evolutionary theories of human cognition should further inform artificial
intelligence. We emphasize the role of ecological niches in sculpting
intelligent behavior, and in particular that human intelligence was
fundamentally shaped to adapt to a constantly changing socio-cultural
environment. We argue that a major limit of current work in AI is that it is
missing this perspective, both theoretically and experimentally. Finally, we
discuss the promising approach of developmental artificial intelligence,
modeling infant development through multi-scale interaction between
intrinsically motivated learning, embodiment and a fastly changing
socio-cultural environment. This paper takes the form of an interview of
Pierre-Yves Oudeyer by Mandred Eppe, organized within the context of a KI -
K{\"{u}}nstliche Intelligenz special issue in developmental robotics.
