Stanford, CA-- Information, Intelligent Machines, and New Knowledge, a new series sponsored by Stanford Libraries, will kick-off the first track of Discovery Sessions on Monday, October 29 with a talk on library-inspired artificial intelligence (AI) by Nicole Coleman, digital research architect for Stanford Libraries. The Discovery Sessions will focus on the exploration of artificial intelligence, digital infrastructure, and digital interfaces to improve information access and discovery in libraries and archives.
Although the underlying AI technologies have existed since the 1970s and 80s, the implementation of AI has accelerated in the last decade, according to Coleman the implications for search within images, sound, and text will revolutionize how we interact with information in libraries. Coleman’s talk on October 29 will take place in the Bender Room (5th Floor) of Cecil H. Green Library at 1:00pm. She will discuss how the digitization of everything in the library introduced new challenges for discovery. Incomplete metadata and lack of context are just a few of the current challenges facing libraries. Coleman also notes how the explosion of data science practices in recent years has made discovery exponentially more challenging while, at the same time, providing the tools to improve discovery. “A library’s ability to curate information in a highly dynamic world is critical,” said Coleman, who also oversees Stanford Libraries’ AI Studio. “To support research, we need to provide librarians with the power tools of artificial intelligence,” said Coleman.
Ruggero Gramatica, CEO of Yewno will lead the second Discovery Session on November 26 with a talk titled “How AI will change libraries,” and on January 23, 2019 Stanford Libraries staff will present experiments tested in the Libraries’ AI Studio for the final event for the discovery track. All events are free and library staff from peer institutions are welcome to join the conversation. A Zoom conference line has been established for each session to encourage wide participation from individuals living beyond the Bay Area.
The second track of Information, Intelligent Machines, and New Knowledge will commence in late winter focusing on conversations across campus about how the way we manage information is changing knowledge production. The series, “Dialogues: Navigating Human-Machine Relationships in Knowledge Creation” will bring faculty in the humanities and social sciences into conversation with faculty in engineering and computer science for conversations about the impact of machine intelligence and data science on teaching and research across the university.
“One of our roles as an academic library is to be a hub for interdisciplinary discussions and research,” said Mimi Calter, deputy university librarian. “Artificial intelligence is a very relevant topic with active investigation occurring with varying approaches across campus; our hope is that we offer a platform for conversation, debate and collaboration.”
Speakers and a schedule for the Dialogues are being finalized, details for Information, Intelligent Machines, and New Knowledge can be found on the Stanford Libraries website.