ABSTRACT
This chapter examines the opportunities, challenges, and repercussions of increasingly creative machines. Computational creativity, by contrast, is a more comprehensive term that covers a much wider spectrum of activities, devices, and outcomes. Consequently, as Colton and colleagues explicitly recognize, if the project of computational creativity is to succeed, the software will need to do more than produce artifacts and behaviors that the people take and respond to as creative product. The issue, in fact, is not simply whether computer applications, robots, or algorithms can or cannot be responsible for what they do or do not do; the issue also has to do with how the people have determined, described, and defined responsibility in the first place. Efforts at what would be the "strong" variety involve the development of "computationally controlled art-systems, producing works judged to have artistic merit". Consequently, creating machines that are creative provides the reader with a way to investigate and experiment with what is called creativity.
