Almost daily news reports describe how AI has revolutionized yet another industrial domain. Some AI researchers believe that within a few decades it will surpass human capabilities in all domains, while others maintain that we are still far from understanding how humans reach fast, intuitive and correct decisions based on seemingly insufficient data. Thus, a huge challenge is developing ways to explore and model how humans use intuition and creativity to find or design solutions. In the www.scienceathome.org project, we have developed games allowing so far 250,000 players to contribute to research in quantum and classical physics, mathematics, chemistry, behavioral economics, corporate management, psychology and cognitive science. We believe that this wealth of data from individual and collective problem solving can be used to generate novel insights about human intuition and innovation that could potentially form the basis of novel forms of AI. Finally, I will describe our work within the new global educational movement, Think Like a Scientist, in which we introduce citizen science games to the formal school setting at all levels as a means to make the world of research and knowledge generation available to students from an early age.
Janet is an incoming doctoral researcher in hybrid intelligence at ScienceAtHome, Aarhus University. She was formerly a U.S. Fulbright Fellow, with degrees in physics and studio art. Her current research includes theoretical and phenomenological turbulence, Human Computer Interfaces, Research through Design, and Research-Enabling Game-Based Education. She is also the international coordinator for the ScienceAtHome activities associated with the global educational initiative, Think Like a Scientist.