AI and the Transformation of Metadata Research and Practices

This comprehensive volume surveys the evolving landscape of AI applications for metadata creation and management by examining the potential benefits of AI, addressing challenges and concerns, and postulating future trends. Evidence-based insights bridge knowledge gaps in the field. The international team of contributors showcases a diverse range of worldwide applications, focusing on the transformation of unstructured, intangible cultural heritage content into structured, machine-actionable knowledge while ensuring semantic and cultural nuances are preserved. The book addresses socio-technical issues of AI in metadata, ranging from multilingual extraction to morpho-translation, and demonstrates the need of human-in-the-loop workflows and robust governance frameworks to mitigate risks such as deepfakes, bias, hallucination and epistemic injustice. This volume is ideal for graduate students, researchers and information professionals interested in ensuring AI implementation in metadata practices is responsibly managed and beneficial to society.