AI@SLIS
AI Ethics Workshop - 3 Part Web Series (COMPLETED)
Beyond the Hype and Fear: Conversations on AI Ethics and LIS
FIRST SESSION APRIL 9TH FROM 7PM – 8PM
Join us on April 9th for our first session of the series, facilitated by our SLIS Dean Sanda Erdelez and Assistant Professor Don Simmons! For our first workshop, we’ll focus on Bias, Emotional Connection, and Truth.
Please prepare for the seminar by reviewing pages 9-33 of the open-source book, Teaching AI Ethics by Leon Furze.
We will be focusing on the following:
What AI Gets Wrong:
- How bias enters AI (data, labeling, design choices)
- AI can’t produce truth – it predicts text
- Deepfakes and misinformation
- Hallucinations and fake citations
LIS Connections:
- AI bias in library catalogs and search systems
- Reference services when patrons bring AI-generated info
- Teaching information literacy in AI-saturated environment
- Collection development with AI-generated content
All Sessions will be recorded for asynchronous learning! All Sessions were recorded for asynchronous learning! Please see the videos below for the recordings to the past sessions!
SECOND SESSION APRIL 16TH FROM 7PM – 8PM
Join us on April 16th for our second session of the series, facilitated by our SLIS Dean Sanda Erdelez and Professor Naresh Agarwal! For our second workshop, we’ll focus on Copyright, Privacy & Data.
Please prepare for the seminar by reviewing pages 34 – 51 of the open-source book, Teaching AI Ethics by Leon Furze.
We will be focusing on the following:
What AI Takes:
- Taking Without Permission:
- Training data and consent
- Copyright landscape and creator’s dilemma
- Privacy illusions and data sharing
LIS Connections:
- Collection development and AI-generated content
- Authors’ rights and library advocacy
- Patron privacy and library values
- Information literacy about AI companions
All Sessions will be recorded for asynchronous learning! Please see the videos below for the recordings to the past sessions!
THIRD SESSION APRIL 23RD FROM 7:30PM – 8:30PM
Join us on April 23rd for our third and last session of the series, facilitated by our SLIS Dean Sanda Erdelez and Professor Mei Zhang! For our third workshop we’ll focus on Human Labor, Power, & Environment.
Please prepare for the seminar by reviewing pages 20-26, 61-67, and 70-75 of the open-source book, Teaching AI Ethics by Leon Furze.
We will be focusing on the following:
What AI Takes:
- Energy consumption and carbon footprint
- Water usage and environmental impact
- Scale of data collection
- From learning to surveillance
Who Benefits, Who Pays:
- Hidden workforce (content moderators, data labelers)
- Exploitation in AI supply chains
- Corporate consolidation and power
- Who writes the policies?
LIS Connections:
- Institutional decisions about AI adoption
- Privacy policies and patron data in AI systems
- Digital preservation and storage footprint
- Teaching digital sustainability
- Library workers and AI displacement
- Vendor accountability
- Power dynamics in institutional AI adoption
- Libraries as sites of resistance
All Sessions will be recorded for asynchronous learning! Please see the videos below for the recordings to the past sessions!
Training resources
- Elsevier Research Data Management Librarian Academy (RDMLA) AI course
- Free LinkedIn Learning Courses
- Coursera's Popular AI Courses and Certifications
- University of Maryland's Free Online Certificate in Artificial Intelligence and Career Empowerment
- MIT Open Learning Foundational AI Courses and Resources
AI in Library Sciences
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SLIS Classes Featuring AI
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