AI As Artificial Memory: A Global Reconfiguration of Our Collective Memory Practices?

Abstract ai ’s evolution has drastically reshaped our relationship with collective memory. Large ai models, like gpt and dall ·E, have emerged as memory agents, assimilating vast cultural and historical data across centuries. Unlike traditional digital repositories, these tools employ an analogical approach, capturing the complexity of human memory. Their potential to weave together fragmented pieces of the past offers new ways to delve into historical and cultural data. Tech giants are ambitiously positioning these ai models as primary mediators for information access, integrating them into popular platforms. While they present new forms of collective memory, their widespread use raises profound ethical concerns. Challenges arise regarding historical truth, representativeness, and data reuse, leading to debates on data ownership and the governance of digital collective memory.