This document summarizes an AI lab presentation given at the American Libraries Association Annual Conference in June 2018. The presentation covered artificial intelligence topics including what AI is, how it is used today, and its applications in libraries. It also discussed the AI Lab at the University of Rhode Island, including its vision, funding, planning, and implementation. The presentation concluded with discussions of the challenges of AI including algorithmic biases and the importance of considering ethics for data science and AI.
AI Lab at a Library? Why Artificial Intelligence Matters & What Libraries Can Do
1. AI Lab at a Library?
Why Artificial Intelligence Matters
& What Libraries Can Do
Monday, June 25
10:30 - 11:30 AM
MCC Rm 393
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2. AI Lab at a Library? Why
Artificial Intelligence Matters
& What Libraries Can Do
#AI_libs
Bohyun Kim
Chief Technology Officer & Associate Professor,
University of Rhode Island Libraries
American Libraries Association Annual Conference, June 25, 2018
3. What We Will Discuss Today
I. Artificial intelligence (AI)
• Purpose; Main drivers of the recent developments; AI in use today
II. AI & Libraries
III. The AI Lab at the University of Rhode Island
IV. The Dark Side of AI & Algorithmic Biases
V. The Future of AI
39. Jessamyn West, “TILT #55 - ‘Hey Google ARE Women Smarter than Men...?,’” TinyLetter (blog), accessed June 11, 2018,
http://tinyletter.com/jessamyn/letters/tilt-55-hey-google-are-women-smarter-than-men.
48. What Inspired the URI AI Lab
• A response to the freshmen survey results about topics they wished
to see in the college curriculum.
• Dovetails with already existing initiatives at URI
• Big Data cluster
• A new BS/BA major in data science
• DataSpark , a non-profit data analytics firm, acquired by URI in
2017, is placed under the URI Libraries.
• Started as a grant proposal for the Champlin Foundation in the
summer of 2017.
49. Participants
• A team led by the Dean of the URI Libraries, Karim Boughida
• PIs collaborating across multiple disciplines:
• University Libraries
• Department of Computer Science & Statistics
/Big Data Initiative and Data Science Programs
• Department of Electrical, Computer, and Biomedical Engineering
• Department of Philosophy
Source: Kunal Mankodiya, Aras Dargazany, Cheryl Foster, Joan Peckham, Harrison Dekker, Angel Ferria, and
Karim Boughida, "ai.uri: The Artificial Intelligence Lab (a grant proposal)," September, 2017.
51. The AI Lab at URI - Vision
• To provide an easy-to-access facility at a centralized location (the
main library), which not only serves all disciplines, but also thousands
of information-seeking students per day.
• The URI AI Lab as the first in the nation to be located in a library and
to function as an information-rich source for all those wishing to
learn about artificial intelligence, both theoretically and practically.
Source: Kunal Mankodiya, Aras Dargazany, Cheryl Foster, Joan Peckham, Harrison Dekker, Angel Ferria, and
Karim Boughida, "ai.uri: The Artificial Intelligence Lab (a grant proposal)," September, 2017.
52. Funding
• The grant was awarded in the fall of 2017.
• Approximately $143,000 from the Champlin grant award
• Additional commitment from participating colleges, the URI
Libraries, and the URI Provost’s office
54. Focus
• Facilitate student learning on AI
• Multi-disciplinary approach to foster thinking and collaboration
across different subject areas
• Three different zones to provide “learning-by-doing” experiences for
students through course projects or personal interest.
55. Learning Zones
• Zone 1: AI Workstations for Individualized Learning
• Zone 2: Hands-on Project Bench
• Deep Learning Robots: programmobilerobots instrumentedwithcameras,
radars, sensors, andactuators; buildAI algorithms tonavigatebothknown
andunknownenvironments.
• Internet-of-things forSmartCities: aphysical model of RhodeIsland
containingdistributedsensors andactuators todesignintelligent algorithmic
projects tocontrol cityenvironments suchas lighting, traffic, transit and
parking.
• Big DataAnalytics: access andanalyzevarious kinds of bigdataavailablein
publicdomain.
• Zone 3: AI Hub for Collaborative Thinking
Source: Kunal Mankodiya, Aras Dargazany, Cheryl Foster, Joan Peckham, Harrison Dekker, Angel Ferria, and
Karim Boughida, "ai.uri: The Artificial Intelligence Lab (a grant proposal)," September, 2017.
56. Designed to Be Integrated with URI Courses
• Wearable Internet of Things (ELE 491/591)
• apply machine/deep learning algorithms to enhance designed
wearables that collect data on health.
• Neural Engineering (BME 468/ELE 568)
• utilize the AI Lab’s processing power to gain a deeper
understanding of using brain electrical activity to control robots
and other technology.
• Philosophy (PHL 103)
• undertake foundational programming exercises, allowing
students to engage in discussions related to relationships
between man and machine.
Source: Kunal Mankodiya, Aras Dargazany, Cheryl Foster, Joan Peckham, Harrison Dekker, Angel Ferria, and
Karim Boughida, "ai.uri: The Artificial Intelligence Lab (a grant proposal)," September, 2017.
57.
58.
59. Beyond Course Projects
• Expected to serve as a generator of new courses exploring AI from
fields outside computing, engineering, and mathematics.
• Examining the implications of AI for neuroscientific applications
to health and cognition (psychology/health studies)
• Clarifying what constitutes “thinking” and whether self-aware
machines have rights (philosophy)
Source: Kunal Mankodiya, Aras Dargazany, Cheryl Foster, Joan Peckham, Harrison Dekker, Angel Ferria, and
Karim Boughida, "ai.uri: The Artificial Intelligence Lab (a grant proposal)," September, 2017.
60. Beyond Course Projects [continued]
• Hosts events to identify and bring together faculty, staff and the
greater community with an active interest in AI from diverse vantage
points.
• Lectures and talks
• Hackathons open to students from URI and beyond
• Opportunities to integrate AI-focused learning experiences into
existing K-12 initiatives, such as SMILE (Science and Math
Investigative Learning Experience) and the RI STE(A)M Center
(which promotes K-12 scientific literacy)
Source: Kunal Mankodiya, Aras Dargazany, Cheryl Foster, Joan Peckham, Harrison Dekker, Angel Ferria, and
Karim Boughida, "ai.uri: The Artificial Intelligence Lab (a grant proposal)," September, 2017.
65. Source: Kunal Mankodiya, Aras Dargazany, Cheryl Foster, Joan Peckham, Harrison Dekker, Angel Ferria, and
Karim Boughida, "ai.uri: The Artificial Intelligence Lab (a grant proposal)," September, 2017.
[ii] Space & Furniture
67. “People of
Color in AI: A
Discussion on
Ethical
Implications
and Impacts,”
a recent event
held at the URI
Libraries.
https://web.uri.edu/li
brary/2018/03/29/peo
ple-of-color-in-ai-a-
discussion-on-
ethical-implications-
and-impacts/
86. Image from Max Tegmark, Life 3.0: Being Human in the Age of Artificial Intelligence (New York: Knopf, 2017), p.53.
Figure 2.2: Illustration of Hans Moravec’s “Landscape of Human Competence”
90. Ethics for Data Science & AI
• It’s popular for people nowadays to suddenly bring up ethics as if it
will solve all the problems.
• Ethics isn’t there to give us answers.
• Ethics is there to show how complicated the Qs are in the first place.