  The memorialization of mass atrocities such as war crimes and genocides
facilitates the remembrance of past suffering, honors those who resisted the
perpetrators, and helps prevent the distortion of historical facts. Digital
technologies have transformed memorialization practices by enabling less
top-down and more creative approaches to remember mass atrocities. At the same
time, they may also facilitate the spread of denialism and distortion, attempt
to justify past crimes and attack the dignity of victims. The emergence of
generative forms of artificial intelligence (AI), which produce textual and
visual content, has the potential to revolutionize the field of memorialization
even further. AI can identify patterns in training data to create new
narratives for representing and interpreting mass atrocities - and do so in a
fraction of the time it takes for humans. The use of generative AI in this
context raises numerous questions: For example, can the paucity of training
data on mass atrocities distort how AI interprets some atrocity-related
inquiries? How important is the ability to differentiate between human- and
AI-made content concerning mass atrocities? Can AI-made content be used to
promote false information concerning atrocities? This article addresses these
and other questions by examining the opportunities and risks associated with
using generative AIs for memorializing mass atrocities. It also discusses
recommendations for AIs integration in memorialization practices to steer the
use of these technologies toward a more ethical and sustainable direction.
