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The growing application of artificial intelligence (AI) in the field ofinformation retrieval (IR) affects different domains, including culturalheritage. By facilitating organisation and retrieval of large volumes ofheritage-related content, AI-driven IR systems inform users about a broad rangeof historical phenomena, including genocides (e.g. the Holocaust). However, itis currently unclear to what degree IR systems are capable of dealing withmultiple ethical challenges associated with the curation of genocide-relatedinformation. To address this question, this chapter provides an overview ofethical challenges associated with the human curation of genocide-relatedinformation using a three-part framework inspired by Belmont criteria (i.e.curation challenges associated with respect for individuals, beneficence andjustice/fairness). Then, the chapter discusses to what degree theabove-mentioned challenges are applicable to the ways in which AI-driven IRsystems deal with genocide-related information and what can be the potentialways of bridging AI and memory ethics in this context.

No AI After Auschwitz? Bridging AI and Memory Ethics in the Context of Information Retrieval of Genocide-Related Information