Seminar: The rise of Creative AI and its ethics

  • Date: Jan 11, 2022
  • Time: 15:00
  • Speaker: Philippe Pasquier, Simon Fraser University, Vancouver, Canada
  • Location: online
  • Host: Center for Humans and Machines

Philippe Pasquier, Simon Fraser University, Vancouver, Canada

The rise of Creative AI and its ethics
Creative AI is the subfield of artificial intelligence concerned with the partial or complete automation of creative tasks. In turn, creative tasks are those for which the notion of optimality is ill-defined. Unlike car driving, chess moves, jeopardy answers or literal translations, creative tasks are more subjective in nature. Creative AI approaches have been proposed and evaluated in virtually every creative domain: design, visual art, music, poetry, cooking, ... These algorithms most often perform at human-competitive or superhuman levels for their precise task. Two main use of these algorithms have emerged that have implications on workflows reminiscent of the industrial revolution:

  • Augmentation (a.k.a, computer-assisted creativity or co-creativity): a human operator interacts with the algorithm, often in the context of already existing creative software.
  • Automation (computational creativity): the creative task is performed entirely by the algorithms without human intervention in the generation process.

Both usages will have deep implications for education and work in creative fields. Away from the fear of strong - sentient - AI, taking over the world: What are the implications of these ongoing developments for students, educators and professionals? How will Creative AI transform the way we create, as well as what we create?

Philippe Pasquier is a professor at Simon Fraser University's School for Interactive Arts and Technology, where he directs the Metacreation Lab for Creative AI since 2008. Philippe leads a research-creation program centred around generative systems for creative tasks. As such, he is a scientist specialized in artificial intelligence, a multidisciplinary media artist, an educator, and a community builder. His contributions range from theoretical research on generative systems, computational creativity, multi-agent systems, machine learning, affective computing, and evaluation methodologies. This work is applied in the creative software industry as well as through artistic practice in computer music, interactive and generative art.
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