New York Technical Services Librarians, est. 1923
Join us for NYTSL's first online program!
We are living in an “age of algorithms.” Vast quantities of information are collected, sorted, shared, combined, and acted on by proprietary black boxes. These systems use machine learning to build models and make predictions from data sets that may be out of date, incomplete, and biased. We will explore the ways bias creeps into information systems, take a look at how “big data,” artificial intelligence and machine learning often amplify bias unwittingly, and consider how these systems can be deliberately exploited by actors for whom bias is a feature, not a bug. Finally, we’ll discuss ways we can work with our communities to create a more fair and just information environment.
IMPORTANT NOTICE: due to higher-than-anticipated interest in the program, we have exceeded the number of contacts allowed by our website plan. If you cannot register via the link to the left, please register by providing your email address via this form. NYTSL apologizes for this inconvenience and is working to resolve the issue promptly.
NYTSL is offering this program free of charge. If you'd like to support NYTSL's work, consider becoming a member, renewing your membership, or sending NYTSL a donation.
About the speaker
Barbara Fister is a writer and Professor Emerita at Gustavus Adolphus College where she coordinated the library’s instruction program, implemented a digital scholarship program, and participated in collection development, reference services, and shared management of the library. She was the 2019 Scholar-in-Residence with Project Information Literacy and is currently working on a book about the salience of library values in the age of algorithms.
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