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.

翻译：本文概述了对AI未来的展望,讨论了人类类似智力的机器模型的方向。我们解释了人类认知的发展和进化理论如何应该进一步为人工智能提供信息。我们强调生态优势在雕塑智能行为中的作用,特别是人类智慧的形成从根本上是为了适应不断变化的社会文化环境。我们争辩说,AI目前工作的一个主要局限是它缺乏这种观点,无论是理论上还是实验上。最后,我们讨论了发展人工智能的有希望的方法,通过内在动机的学习、化学和快速变化的社会文化环境之间的多尺度互动来模拟婴儿发展。本文采取的形式是Mandred Eppe对Mandred Eppe的Pier-Yves Oudeyer的访谈,这是在开发机器人的KI-K{unsliche Intelligenz特殊问题背景下组织的。