Recommendations for using Artificial Intelligence and Machine Learning for Holocaust Memory and Education
The recommendation reports, published as part of the Digital Holocaust Memory Project, underpin the objectives of the Landecker Digital Memory Lab. Their findings feed into all of the work that we now do. Forward The majority of academic research that offers commentary on digital Holocaust projects tends to focus on what is seen by users at the interface. For example, the simulation of human-to-human dialogue in interactive biography projects or avatars in Second Life. Far less attention has been given to the invisible processes that inform what data is retrieved by the user. Artificial intelligence and machine learning already impact Holocaust education and memory, although their influence is more predominant in public online spaces - such as search engines - than within the work of professional institutions dedicated to teaching about and commemorating this past. How might Holocaust organisations harness the possibilities of these technologies for 'good'? What challenges do they need to navigate to achieve this? What support do they need, and from whom, to manage this substantial task? Holocaust education and memory developed within and alongside the so-called broadcast era of seemingly fixed, closed texts. Once a novel is published or a film released, the production process is [...]