Digital Identity in the Age of AI: From Datafied Selves to Digital Twins
This presentation explores the rise of AI-driven constructs, particularly digital twins or AI agents—virtual replicas of individuals that continuously mirror, simulate, and predict human behavior—further transforming the relationship between individuals and their digital identities. Unlike the dataself—largely opaque and unknowable to the user—human digital twins offer a more tangible and comprehensive simulation of physical, cognitive, and behavioral characteristics, by collecting and integrating vast amounts of data through artificial intelligence, machine learning, and simulation technologies.
By integrating the concept of digital twins into existing frameworks of digital identity, this presentation examines the social, theoretical, and alienating implications of AI-mediated identity construction. Through media analysis, it investigates how discourses surrounding digital twins resonate with current notions of digital identity, potentially reshaping concepts of personal autonomy, privacy, and the broader socio-technical fabric of digital societies. In doing so, it highlights the profound shifts in how individuals perceive and engage with their digital selves, and the emerging forms of alienation that accompany these shifts.