Learning Objectives
Upon completion of this Learning Unit, trainees will know and understand:
- Intelligent algorithms
- Knowledge acquisition and representation
- Conscientiousness
- Computational creativity
- Machine learning
Upon completion of this course, learners will be able to better understand the impact of digital technologies and master them.
Introduction
In this learning unit, the theme of machine creativity is examined. The main questions underlying this topic are illustrated, reporting and discussing the views of authors involved in early Artificial Intelligence (AI) research. These were the scientists engaged in experiments and theoretical studies in expert systems, logical reasoning, logical programming, machine learning, and philosophy of mind.
In addition, the issue of machine intelligence is raised in relation to Alan Turing’s question: Can machines think?
Knowledge acquisition and representation as well as machine learning have also briefly been introduced, so as to prepare the ground for discussing the question: Can machines be creative?
Finally, a problem that worries many journalists, socio-philosophers, and people, in general, is briefly explored, namely: Will technology grow out of human control? Will there be a moment when this transformation becomes irreversible?
JOIN OUR COURSES