Can AI Make Hitler Cry? Exploring the Use of AI in Holocaust Education across Four Generations

Rosenthal, Aharona. “‘Can AI Make Hitler Cry?’ Exploring the Use of AI in Holocaust Education across Four Generations.” AI and Ethics 5 (2025): 6105–6126. https://doi.org/10.1007/s43681-025-00816-3

Concepts:  Generational Trust Gap | cultural memory transition | Holocaust-gamified memory | Inter-generational knowledge validation) | Hybrid educational model 

Keywords:  Holocaust education | Generational memory | AI ethics | Survivor testimony | Intergenerational transmission

Rosenthal presents the first empirical, multi-generational analysis (191 participants, four generations) of how Holocaust descendants perceive AI in Holocaust education. Her key finding — that concerns about AI are not age-based or tied to digital fluency but rooted in distinct ethical and moral perspectives — is the empirical complement to Burzlaff’s scholarly argument. Her Generational Trust Gap framework maps the progressive displacement of dimensionality as lived connection to testimony fades: from 1G’s absolute rejection of AI on grounds of authenticity, through 2G’s cautious ethical openness, 3G’s algorithmic bias concerns, to 4G’s gamification anxiety. She advocates for hybrid models integrating AI’s reach with human storytelling and scholarly oversight.

“A computer cannot replicate the survivor’s tears or a descendant’s passion.” (Participant 1-04(Q), in Rosenthal, 2025, p. 6118)

“AI must never be our only source of truth.” (Participant 2-48(Q), in Rosenthal, 2025, p. 6122)

“The Holocaust isn’t just data. Real pain can never be coded.” (Participant 4G, in Rosenthal, 2025, p. 6116)