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

翻译：人工智能（AI）在信息检索（IR）领域的日益应用影响着包括文化遗产在内的不同领域。通过促进大量遗产相关内容的组织和检索，AI驱动的IR系统使广大用户能够了解广泛的历史现象，其中包括种族灭绝（如大屠杀）。然而，目前尚不清楚IR系统能在多大程度上应对与种族灭绝信息策展相关的多重伦理挑战。为探讨这一问题，本章首先基于贝尔蒙原则（即尊重个人、行善、公正/公平相关的策展挑战）的三部分框架，概述了人类策展种族灭绝相关信息所涉及的伦理挑战。随后，本章讨论了上述挑战在多大程度上适用于AI驱动的IR系统处理种族灭绝信息的方式，并探讨在此背景下可能连接人工智能与记忆伦理的潜在途径。