Santhilata Kuppili Venkata and Alex Green have self-archived "Computational Intelligence to Aid Text File Format Identification."
Here's an excerpt:
One of the challenges faced in digital preservation is to identify the file types when the files can be opened with simple text editors and their extensions are unknown. The problem gets complicated when the file passes through the test of human readability, but would not make sense how to put to use! The Text File Format Identification (TFFI) project was initiated at The National Archives to identify file types from plain text file contents with the help of computing intelligence models. A methodology that takes help of AI and machine learning to automate the process was successfully tested and implemented on the test data. The prototype developed as a proof of concept has achieved up to 98.58% of accuracy in detecting five file formats.
ARL has released a special issue of Research Library Issues on the "ethics of artificial intelligence."
Here's an excerpt from the announcement:
To frame this discussion, we invited three individuals to share their expertise and recommendations in this issue of RLI. In the first article, Sylvester Johnson, the founding director of the Center for Humanities and the assistant vice provost for the humanities at Virginia Tech, focuses on the role of ethics in innovation. AI, like other influential technologies, can be a force for innovation, and is known to have harmful as well as helpful implications, which Johnson examines.