Rethinking AI in Future Biophilic Cross-Reality Environments
Future smart technologies are anticipated to fold into our surrounding environments with embedded AI capabilities, providing human-centric services that appear when needed and disappear when not needed. In doing so, they help us get our noses off the smartphone screens and back into our environments, making us more (rather than less) present in the world around us. In this seminar, we explore the unifying design of virtual, embodied, intelligent cross-reality environments that help tie the real and virtual worlds tighter together. It is anticipated that physical use-places rather than use-cases will initially drive the development of highly complex Metasystems such as the emerging 3D Metaverse following a hybrid physical-digital (phygital) approach. In this seminar, we explore the benefits of abandoning the path dependence and “lock-in” of today’s Turing-derived anthropomorphic (i.e., human-like) AI vision and its focus on automation and optimization. Some argue that the human brain’s externalization of its underlying log-normal dynamics might be the actual reason behind all sorts of highly skewed distributions we witness in our lives, e.g., income inequality. To reorient Turing’s AI vision, we will provide new directions for a biophilic AI design, which aims at creating future cross-reality environments as similar as possible to natural ones by internalizing nature’s more-than-human intelligence free from human bias.
Presented by: Prof Martin Maier
