- 1:30 PM (Eastern)
- 12:30 PM (Central)
- 11:30 AM (Mountain)
- 10:30 AM (Pacific)
As the information universe becomes increasingly dominated by algorithms, computer scientists and engineers have ethical obligations to create systems that do no harm. To increase search literacy, libraries can partner with information scientists, educate computer science and engineering students, and raise awareness about how databases are designed by humans with preexisting biases.
In Part I of this 2-hour webinar, librarians Sheree Fu and Shalini Ramachandran present the results of a survey they conducted of computer science students at Boise State University, California State University, Los Angeles, and USC, on their perceptions about search engine and big-data algorithms. They will introduce the topic with a short summary of the book Algorithms of Oppression (2018) by Safiya Noble, present their preliminary findings and lessons learned, and conclude with proposed pathways for librarian involvement in discussions of algorithm bias in libraries.
In Part II, based on analysis of survey data, librarian Karen Howell and computer science professor Steven Cutchin consider whether an information literacy component focused on algorithmic bias would be beneficial to offer to students in the computational sciences and if so, how best to design the instruction. To create an effective, data-driven instruction module, they will share a sample lesson plan, presentation materials, and exercises to address gaps or differences between student perceptions of algorithm bias and the existing documentation of algorithm bias.
Attendees will be able to define and recognize examples of bias in machine learning and computer algorithms.
Attendees will give examples of computer science student perceptions of algorithm bias.
Attendees will summarize themes or ideas that may influence the future of library instruction.
Who Should Attend
Dr. Shalini Ramachandran
Dr. Shalini Ramachandran was a Science & Engineering librarian at the University of Southern California (USC) where she taught information literacy to science and engineering students, including computer science students. She is currently a Research Affiliate at Boise State University's College of Engineering. She has conducted research on computer science students' perceptions of algorithm bias and presented on the topic at the 2019 ALA Midwinter Meeting.
Sheree Fu is the Engineering, Computer Science, and Technology Librarian at California State University, Los Angeles. She teaches engineering and first year students information literacy skills. She has presented on user research, space planning, accessibility, and computer algorithm bias. Her research explores emerging student needs and technology in academic libraries.
Dr. Steven Cutchin
Dr. Steven Cutchin is an Associate Professor of Computer Science and Director of Research Computing at Boise State University. He does research into Virtual Reality and Human Computer Interaction, and is currently studying the impact of students' perception of algorithmic bias on computer science education.
Karen Howell is the Head of Leavey Library at the University of Southern California. In partnership with USC faculty and librarians, she has piloted course assignments for students to create digital exhibits in Scalar using primary resources from Special Collections. She also serves as Faculty Diversity Recruitment Liaison for the University Park Campus libraries at USC, and is the co-author of an online library research guide for resources on Diversity, Equity, and Inclusion.
- LITA Member: $45
- Non-Member: $105
- Group: $196
Zoom login information will be sent to registrants just prior to the start date.
How to Register
Mail or fax form to ALA Registration
OR call 1-800-545-2433 and press 5
OR email firstname.lastname@example.org
Live, synchronous lectures require attendee participation via internet audio. Attendees will need a high-speed internet connection (preferably wired) and a headset or speakers. We recommend attendees use headsets connected to their computers during webinars.All attendees are muted but can use the built-in chat function to communicate with presenters. The use of computer speakers with a microphone is not recommended, as this can cause echoes.The recommended browser is Mozilla Firefox, although other current browsers should also work.
Please contact us at email@example.com at least 10 days in advance if you require an accommodation.