Arthur I. Miller is fascinated by the nature of creative thinking – the mind’s ability to transform information from everyday experiences into the most sublime works of art, literature, music and science. Professor Emeritus at University College London, he is currently completing a book on AI and creativity in art, literature and music, ‘Mozart’s Flute: Genius and Creativity in the Age of Machines’.
Mike Tyka studied Biochemistry and Biotechnology at the University of Bristol. He obtained his PhD in Biophysics in 2007 and went on to work as a research fellow at the University of Washington and has been studying the structure and dynamics of protein molecules. Since 2015 he has also begun working with artificial neural networks as an artistic medium and tool. His latest generative portraits series “Portraits of Imaginary People” has been shown at ARS Electronica in Linz, OutOfSight 2017 and at the New Musueum in Karuizawa, Japan. Mike currently works on machine learning at Google in Seattle.
Ryota Kanai PhD is a neuroscientist working on the computational principles underlying consciousness and the brain, and the founder and CEO of an AI startup, Araya, Inc. in Tokyo. His goal is to create artificial consciousness using intrinsic motivation, deep neural networks, and integrated information while taking inspirations from neuroscience. He formerly led a cognitive neuroscience lab at Sackler Centre for Consciousness Science at the University of Sussex. In this exclusive interview he discusses his ideas and work in trying to understand consciousness by creating it.
Thomas Dietterich is one of the pioneers of the field of Machine Learning. His research is motivated by challenging real world problems with a special focus on ecological science, ecosystem management, and sustainable development. He is Past President of the Association for the Advancement of Artificial Intelligence, and he previously served as the founding president of the International Machine Learning Society. In this exclusive interview he discusses his ideas and work.
AI challenges fundamental concepts such as the human and the machine. Myth, metaphor, and generally the languages of art and literature as well as philosophy can be helpful in thinking through the challenges of AI when the languages of science, technology and commerce fail. The paper examines the enduring value of Mary Shelley’s Frankenstein in considering the questions of AI. The impact of AI upon human agency is also discussed. Without ways of thinking about, and grappling with a phenomenon as far reaching and transformative as AI, humans risk unintended, unforseen and perhaps unwelcome consequences of their technologies.
Shimon Whiteson is associate professor in the Department of Computer Science at the University of Oxford, and a tutorial fellow at St. Catherine’s College. His research focuses on artificial intelligence. In this exclusive interview he discusses the TERESA project, which aims to develop a telepresence robot of unprecedented social intelligence, helping to pave the way for the deployment of robots in settings such as homes, schools, and hospitals that require substantial human interaction.