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Archives and the Implications of Machine Learning and Artificial Intelligence

Innovation Join Archive Specialist Elizabeth Klinck, Scott Limmer (NFSA) and Arran Birchenough (Getty Images) for a timely discussion, moderated by Rita Arrigo (National AI Centre), about the perils and possibilities of machine learning and artificial intelligence on our collective archives, and how we protect authenticity and transparency whilst also harnessing the opportunities this new technology can offer.

Archival materials are crucial to our documentary ecosystem and a critical means of documenting historical, social and political moments in time. As AI enters the frame, what are the implications of machine learning and artificial intelligence on our collective archives, and what are the guardrails that are, or need to be put, in place?

Elizabeth Klinck, Archive Specialist and consultant to the Archives Producers Alliance (APA), Scott Limmer, Software Engineering Manager, at the National Film and Sound Archive (NFSA) and Arran Birchenough, Director of Sales APAC, Getty Images – in conversation with Rita Arrigo (National AI Centre) – discuss the current issues surrounding AI and its application to both commercial and public access archives. They address the potential for AI in areas such as discoverability, preservation, and accessibility, while also examining the ethical and legal frameworks required to safeguard authenticity and uphold trust, transparency, and factual accuracy.

 

Image credit: National Film & Sound Archive

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