  Developers of AI-Intensive Systems--i.e., systems that involve both
"traditional" software and Artificial Intelligence"are recognizing the need to
organize development systematically and use engineered methods and tools. Since
an AI-Intensive System (AIIS) relies heavily on software, it is expected that
Software Engineering (SE) methods and tools can help. However, AIIS development
differs from the development of "traditional" software systems in a few
substantial aspects. Hence, traditional SE methods and tools are not suitable
or sufficient by themselves and need to be adapted and extended. A quest for
"SE for AI" methods and tools has started. We believe that, in this effort, we
should learn from experience and avoid repeating some of the mistakes made in
the quest for SE in past years. To this end, a fundamental instrument is a set
of concepts and a notation to deal with AIIS and the problems that characterize
their development processes. In this paper, we propose to describe AIIS via a
notation that was proposed for SE and embeds a set of concepts that are
suitable to represent AIIS as well. We demonstrate the usage of the notation by
modeling some characteristics that are particularly relevant for AIIS.
