Algorithmic Reckonings: Artificial Intelligence, Ethical Imperatives, and the Contested Future of Historical Memory

Artificial Intelligence (AI) is rapidly transforming research paradigms across all of historical inquiry, presenting both unprecedented opportunities and profound challenges. This paper investigates these complex implications through the specific and revealing lens of the History of Memory. As a subfield focused on how societies construct, contest, and make meaning of their pasts, it provides an ideal framework for analyzing AI's role not just as a research tool, but as an active agent in memory production. By examining this dynamic, the paper addresses fundamental questions of evidence, authority, and ethics that, while explored through memory studies, are vital to the broader historical profession. The paper dissects these core ethical issues, examining specific AI use cases-such as natural language processing of testimonies and generative AI for synthetic memory objects-to illustrate their dual-edged nature. This analysis is further nuanced by considering the performative turn in AI studies, recognizing AI not merely as a representational tool but as an active agent in shaping how the past is remembered and understood, thereby shifting mnemotechnic values. It further explores how AI reconfigures the politics of remembrance and the evolving role of the historian, acknowledging that machine learning technologies are already impacting how we craft and interpret the past. Ultimately, this paper contends that responsible engagement with AI in Historical Memory necessitates a proactive approach. By fostering critical wisdom and ethical stewardship, historians can harness AI's capabilities to enrich understanding and promote inclusivity. The future of memory in the algorithmic age hinges on the conscious choices made to navigate this new terrain with the scholarly integrity and ethical responsibility required of all historical practice.