How to get culture right when embedding it into AI
As AI continues to advance, how do we decide which cultures machines should absorb?
Michael Carter is Assistant Professor at Ryerson University’s School of Creative Industries and Director of Strategic Development for the Global Campus Network. He helped in the design and implementation of Ryerson's award-winning Master in Digital Media (MDM) program and Ryerson’s experiential, innovative and entrepreneurial Zone Learning ecosystem, as well as providing support and mentorship to the students, start-ups, and staff of the award-winning DMZ. He has spent his professional career immersed in the creative, technical, and business roles of software development and computer animation, maintaining a 22-year career in film and TV as an animator, studio owner, and executive producer. Michael’s research focuses on the use of anthropology and archaeology to explore the enculturation of data in Artificial Intelligence, the use of animation, VFX, AR/VR to better inform heritage and community engagement research, knowledge translation and mobilization, as well as the exploration of bootstrapping and entrepreneurial ecosystems.