Abstract
Knowledge can be seen as the collection of skills
and information an individual (or group) has acquired through experience, while intelligence as the
ability to apply such knowledge. In many areas of
Artificial Intelligence, we have been focusing for
the last 40 years on the formalization and development of automated ways of finding and collecting
data, as well as on the construction of models to
represent that data adequately in a way that an automated system can make sense of it. However, in order to achieve real artificial intelligence we need to
go beyond data and knowledge representation, and
deeper into how such a system could, and would,
use available knowledge in order to empower and
enhance the capabilities of humans in making decisions in real-world applications. From my point
of view, an AI should be able to combine automatically acquired data and knowledge together with
specific domain expertise from the users that the
tool is expected to help