The NFAIS Foresight Webinar - Artificial Intelligence: Weighing the Value for the Information Community, given by Bohyun Kim.
AI & US: Are We Intelligent Machines?
Bohyun Kim (Twitter: @bohyunkim)
CTO & Associate Professor, University Libraries, University of Rhode Island
NFAIS/NISO Foresight Webinar, Sep. 25, 2019
Image source: “What If an Artiﬁcial Intelligence Chooses Suicide?,” Hasty Reader (blog), February 16, 2018,
Are machines going to be better than humans?
Will AI/intelligent machines eliminate my job?
Will we be forced to interact with machines and have
less and less opportunities for human interactions?
How should I or my organization adjust in order to
survive and succeed in the new era of AI?
What will it be like to live, learn, and work with
We do NOT have an appropriate model for this, yet.
Let’s Get to Know a Bit about AI
Things I Will Cover Today
I. What Can AI Do?
II. How Does AI Work?
III. Learning & Research in the Era of AI & Dataism
–David Brooks, “The Philosophy of Data,” The New York
Times, February 4, 2013, https://www.nytimes.com/
Data-ism is a belief that “everything that can be
measured should be measured; that data is a
transparent and reliable lens that allows us to ﬁlter
out emotionalism and ideology; that data will help us
do remarkable things - like foretell the future.”
In my opinion, the most signiﬁcant issue
that AI brings to our information profession is
how to utilize AI techniques to our ﬁeld
what kind of learning and research we
should support and how in the new era of AI.
New Temple University’s Charles Library Building
More Important Questions
How are we different from intelligent machines?
How should our learning be different from that of a
data-processing AI algorithm?