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Artificial Intelligence?Machine Learning?
JinYeong Bakjy.bak@kaist.ac.krSchool of Computing, KAIST
About Me• JinYeong Bak (jy.bak@kaist.ac.kr)
• Ph.D. student at KAIST, U&I Lab– MS degree at KAIST– BS degree at SKKU
• Research interests– Machine Learning– Computational Social Science
• Research interns– Microsoft Research Asia, 2013– United Nations Pulse Lab Jakarta, 2016
2016-03-202
INTRODUCTION
2016-03-203
AlphaGo
2016-03-204
AlphaGo• Computer program
– Developed by Google DeepMind– Play the board game Go
• Algorithm: a combination of– Artificial neural networks– Machine learning (reinforcement learning)– Monte Carlo tree search
2016-03-205
AlphaGo
2016-03-206
AlphaGo
2016-03-207
So…
2016-03-208
Contents• Artificial Intelligence• My research
2016-03-209
ARTIFICIAL INTELLIGENCE
2016-03-2010
Frequently Asked QuestionsAlphaGo wins Lee Sedol
2016-03-2011
Frequently Asked QuestionsAlphaGo wins Lee Sedol• Can AlphaGo win all people?
2016-03-2011
Frequently Asked QuestionsAlphaGo wins Lee Sedol• Can AlphaGo win all people?• Can AI control human being?
2016-03-2011
Frequently Asked QuestionsAlphaGo wins Lee Sedol• Can AlphaGo win all people?• Can AI control human being?• Can AI make the Terminator?
2016-03-2011
Frequently Asked QuestionsAlphaGo wins Lee Sedol• Can AlphaGo win all people?• Can AI control human being?• Can AI make the Terminator?• Do we all die?
2016-03-2011
Frequently Asked QuestionsAlphaGo wins Lee Sedol• Can AlphaGo win all people?• Can AI control human being?• Can AI make the Terminator?• Do we all die?
2016-03-2011
AlphaGo• Computer program
– Developed by Google DeepMind– Play the board game Go
• Algorithm: a combination of– Artificial neural networks– Machine learning (reinforcement learning)– Monte Carlo tree search
2016-03-2012
Artificial intelligenceThe intelligence exhibited by machines
2016-03-2013
Artificial intelligenceHow to create computers and computer software that are capable of intelligent behavior
2016-03-2014
Artificial intelligence - Types• Artificial Narrow Intelligence (ANI)• Artificial General Intelligence (AGI)• Artificial Super Intelligence (ASI)
2016-03-2015
Artificial intelligence• Artificial Narrow Intelligence (ANI)
– Weak AI– Specializes in one area– Ex) AlphaGo, Siri, Spam mail filter, Translator, etc…
• Artificial General Intelligence (AGI)• Artificial Super Intelligence (ASI)
2016-03-2016
Artificial intelligence• Artificial Narrow Intelligence (ANI)• Artificial General Intelligence (AGI)
– Strong AI (Human level AI)– Be as smart as a human across the board– “a very general mental capability that, among other things,
involves the ability to reason, plan, solve problems, think abstractly, comprehend complex ideas, learn quickly, and learn from experience.”
• Artificial Super Intelligence (ASI)
2016-03-2017
Artificial intelligence• Artificial Narrow Intelligence (ANI)• Artificial General Intelligence (AGI)• Artificial Super Intelligence (ASI)
– Be smarter than the best human brains in every field
2016-03-2018
Artificial intelligence• Artificial Narrow Intelligence (ANI)• Artificial General Intelligence (AGI)• Artificial Super Intelligence (ASI)
– Be smarter than the best human brains in every field
2016-03-2018
Intelligence• The ability to learn or understand things or to deal with new
or difficult situations
2016-03-2019
Intelligence• The ability to learn or understand things or to deal with new or difficult
situations• Capacity for
– Logic– Abstract thought– Understanding– Self-awareness– Communication– Learning– Emotional knowledge– Memory– Planning– Creativity– Problem solving
2016-03-2019
Human Intelligence Growth
2016-03-2020
Human Intelligence Growth
2016-03-2021
Human Intelligence Growth
2016-03-2022
Human Intelligence Growth
2016-03-2023
Human Intelligence Growth
2016-03-2024
AI is coming
2016-03-2025
Opinions on ASI Arrival
2016-03-2026
Opinions on ASI Arrival
2016-03-2027
Opinions on ASI Arrival• Optimism• Pessimism
2016-03-2028
Opinions on ASI Arrival• Optimism
– AIs can solve any problems– Humans can have eternal life
2016-03-2029
Opinions on ASI Arrival• Pessimism
– AIs work hard to achieve the goal
2016-03-2030
Opinions on ASI Arrival• Pessimism
– AIs work hard to achieve the goal– AIs are amoral
• Not moral• Not immoral• Not involving questions of right or wrong
2016-03-2030
Opinions on ASI Arrival• Pessimism
– AIs work hard to achieve the goal– AIs are amoral
• Not moral• Not immoral• Not involving questions of right or wrong
2016-03-2030
Opinions on ASI Arrival• Pessimism
– AIs work hard to achieve the goal– AIs are amoral
• Not moral• Not immoral• Not involving questions of right or wrong
2016-03-2030
Opinions on ASI Arrival• Pessimism
– AIs work hard to achieve the goal– AIs are amoral
• Not moral• Not immoral• Not involving questions of right or wrong
– Can Humans control ASI?• ASI is smarter than humans
2016-03-2030
In the future…
2016-03-2031
My opinionMore like optimismReasons
– The goal is given by human– Moral/Immoral is coming from human
2016-03-2032
My opinion
2016-03-2033
My opinion
2016-03-2033
My opinion
2016-03-2033
My opinion
2016-03-2033
My opinionMore like optimismReasons
– The goal is given by human– Moral/Immoral is coming from human– I am machine learning researcher
2016-03-2034
OK…
2016-03-2035
MY RESEARCH – BACKGROUND
2016-03-2036
Artificial intelligenceHow to create computers and computer software that are capable of intelligent behavior
2016-03-2037
Machine learning• Subfield of artificial intelligence • Study of pattern recognition and computational
learning theory
2016-03-2038
Topic modeling• Subfield of machine learning• Discovering the abstract "topics" that occur in a
collection of documents
2016-03-2039
Topic modeling - Introduction
2016-03-2040
Topic modeling - Introduction
2016-03-2041
Topic modeling - Introduction
2016-03-2042
Topic modeling - Introduction
2016-03-2043
Topic modeling - Introduction
2016-03-2044
Topic modeling - Introduction
• What are the topics discussed in the article?• How can we describe the topics?
2016-03-2045
Topic modeling - Assumption
2016-03-2046
Topic modeling - Assumption
2016-03-2047
Topic modeling - Assumption
2016-03-2048
Topic modeling - Assumption
2016-03-2049
Topic modeling
2016-03-2050
Korea
Music
Olympic
Topic proportion of each document
Topic modeling
2016-03-2050
Korea
Music
Olympic
Topic proportion of each document
Topic modeling
2016-03-2050
Korea
Music
Olympic
Topic proportion of each document
Topic modeling
2016-03-2050
korea south korean kim lee
music album song single live
olympic summer medal gold winter
Word distribution of each topic
Korea
Music
Olympic
Topic proportion of each document
Topic modeling
2016-03-2050
korea south korean kim lee
music album song single live
olympic summer medal gold winter
Word distribution of each topic
LDA
Korea
Music
Olympic
Topic proportion of each document
Topic modeling• Inputs
– Document corpus– Parameters
2016-03-2051
Topic modeling• Inputs
– Document corpus– Parameters
• Models– LDA– HDP
2016-03-2051
LDA
Topic modeling• Inputs
– Document corpus– Parameters
• Models– LDA– HDP
• Inferences– Gibbs sampling– Variational Inference
2016-03-2051
LDA
Topic modeling• Inputs
– Document corpus– Parameters
• Models– LDA– HDP
• Inferences– Gibbs sampling– Variational Inference
• Outputs– Topics– Topic proportions
2016-03-2051
LDA
MY RESEARCH – ONLINE LEARNING
2016-03-2052
Topic modeling• Inputs
– Document corpus– Parameters
• Models– LDA– HDP
• Inferences– Gibbs sampling– Variational Inference
• Outputs– Topics– Topic proportions
2016-03-2053
Topic modeling• Inputs
– Document corpus– Parameters
• Models– LDA– HDP
• Inferences– Gibbs sampling– Variational Inference
• Outputs– Topics– Topic proportions
2016-03-2053
LDA
Topic modeling• Inputs
– Document corpus– Parameters
• Models– LDA– HDP
• Inferences– Gibbs sampling– Variational Inference
• Outputs– Topics– Topic proportions
2016-03-2053
LDA
Documents size
2016-03-2054
New documents
2016-03-2055
Previous approach problem
2016-03-2056
Previous approach problem
2016-03-2056
LDA
Previous approach problem
2016-03-2056
LDA
Previous approach problem
2016-03-2056
Previous approach problem
2016-03-2056
Previous approach problem
2016-03-2056
LDA
Previous approach problem
2016-03-2056
LDA
Previous approach problem
2016-03-2056
LDA
Previous approach problem
2016-03-2056
LDA
Previous approach problem
2016-03-2056
LDA
My suggestion
2016-03-2057
My suggestion
2016-03-2057
LDA
My suggestion
2016-03-2057
LDA
My suggestion
2016-03-2057
My suggestion
2016-03-2057
My suggestion
2016-03-2057
LDA
My suggestion
2016-03-2057
LDA
My suggestion
2016-03-2058
My suggestion
2016-03-2058
Results
2016-03-2059
MY RESEARCH – COMPUTATIONAL SOCIAL SCIENCE
2016-03-2060
Computational Social Science• Computational approaches to the social sciences• Computers are used to model, simulate, and analyze
social phenomena• Fields
– Computational economics– Computational sociology– Computational psychology
2016-03-2061
My research• Self-disclosure in Twitter conversation• Leadership in the AJD
2016-03-2062
Leadership• A process of social influence in which a person can
enlist the aid and support of others in the accomplishment of a common task [Chemers. 2014]
2016-03-2063
Leadership• A process of social influence in which a person can
enlist the aid and support of others in the accomplishment of a common task [Chemers. 2014]
• The ability to – Influence other people– Get them to do something significant
• Energizing people toward a goal [Mills. 2005]
2016-03-2063
Leadership Styles [Lewin, et al. 1939]
2016-03-2064
Leadership Styles [Lewin, et al. 1939]
• Autocratic– Get little input from group members– Control over all decisions
2016-03-2065
Leadership Styles [Lewin, et al. 1939]
• Autocratic– Get little input from group members– Control over all decisions
• Laissez-Faire– Give little guidance to group members– Leave them to decision-making
2016-03-2065
Leadership Styles [Lewin, et al. 1939]
• Autocratic– Get little input from group members– Control over all decisions
• Laissez-Faire– Give little guidance to group members– Leave them to decision-making
• Democratic– Encourage group members to participate– Retain the final say in the decision-making
2016-03-2065
Leadership Styles• Target people
– School children [Lewin, et al. 1939]
– Work employee [Hoel. 2010]
– USA president [Bligh, et al. 2004] & Prime minister [Kaarbo. 1997]
2016-03-2066
Leadership Styles• Target people
– School children [Lewin, et al. 1939]
– Work employee [Hoel. 2010]
– USA president [Bligh, et al. 2004] & Prime minister [Kaarbo. 1997]
• Relationships [Van. 2006]
– Age– Health– Context
2016-03-2066
Leadership Styles• Target people
– School children [Lewin, et al. 1939]
– Work employee [Hoel. 2010]
– USA president [Bligh, et al. 2004] & Prime minister [Kaarbo. 1997]
• Relationships [Van. 2006]
– Age– Health– Context
• How about the kings in the old times?
2016-03-2066
Research Questions1. Do kings show different kinds of leadership styles?
2016-03-2067
Research Questions1. Do kings show different kinds of leadership styles?2. What factors are related with kings’ leadership?
– Context/Topics?– Members?– Time?
2016-03-2067
Dataset• What kinds of data are needed?
2016-03-2068
Dataset• What kinds of data are needed?• Requirements: records of king’s official duty activities
– Discussions with government officials– King’s decisions– Long and large dataset
2016-03-2068
Dataset• What kinds of data are needed?• Requirements: records of king’s official duty activities
– Discussions with government officials– King’s decisions– Long and large dataset
• My answer: The Annals of the Joseon Dynasty
2016-03-2068
The Annals of the Joseon Dynasty• Series of books which describe about historical facts
in Joseon dynasty• 1,893 books, 380,271 articles• 472 years (1392 – 1863)
2016-03-2069
The Joseon Dynasty• Ancient kingdom in Korean peninsula
2016-03-2070
Civilization V - Civilization and Scenario Pack: Korea
The Joseon Dynasty• Ancient kingdom in Korean peninsula
2016-03-2070
Civilization V - Civilization and Scenario Pack: Korea
The Joseon Dynasty• Ancient kingdom in Korean peninsula
2016-03-2070
Civilization V - Civilization and Scenario Pack: Korea
Sejongthe Great
The Joseon Dynasty• Ancient kingdom in Korean peninsula
– From 1392 to 1897– 27 kings– Capital city: Seoul– Religion: Neo-Confucianism
2016-03-2071
The Joseon Dynasty• Monarchial system
– King governs the nation– King decides on official issues– King discusses it with government officials
2016-03-2072
The Joseon Dynasty• Monarchial system
– King governs the nation– King decides on official issues– King discusses it with government officials
2016-03-2072A screenshot of a historical drama - Yi san
The Joseon Dynasty• Monarchial system
– King governs the nation– King decides on official issues– King discusses it with government officials
2016-03-2072
King
A screenshot of a historical drama - Yi san
The Joseon Dynasty• Monarchial system
– King governs the nation– King decides on official issues– King discusses it with government officials
2016-03-2072
King
Government officials
A screenshot of a historical drama - Yi san
The Joseon Dynasty• Monarchial system
– King governs the nation– King decides on official issues– King discusses it with government officials
2016-03-2072
King
Government officials
historiographers
A screenshot of a historical drama - Yi san
The Annals of the Joseon Dynasty• Contents
2016-03-2073
The Annals of the Joseon Dynasty• Contents
– Human resources• Employment & Dismissal• Person information
2016-03-2073
The Annals of the Joseon Dynasty• Contents
– Human resources• Employment & Dismissal• Person information
– Government issues• Military• Tax & Population
2016-03-2073
The Annals of the Joseon Dynasty• Contents
– Human resources• Employment & Dismissal• Person information
– Government issues• Military• Tax & Population
– Diplomatic relations• China• Japan
2016-03-2073
The Annals of the Joseon Dynasty• Contents
– Human resources• Employment & Dismissal• Person information
– Government issues• Military• Tax & Population
– Diplomatic relations• China• Japan
– Judgements• Punishment• Remission
2016-03-2073
The Annals of the Joseon Dynasty• Contents
– Human resources• Employment & Dismissal• Person information
– Government issues• Military• Tax & Population
– Diplomatic relations• China• Japan
– Judgements• Punishment• Remission
– Observations• Astronomical phenomena• Weather
2016-03-2073
The Annals of the Joseon Dynasty• National Institute of Korean History (http://www.history.go.kr)
– Translated it to modern Korean
2016-03-2074
The Annals of the Joseon Dynasty• National Institute of Korean History (http://www.history.go.kr)
– Translated it to modern Korean– Tagged meta information
• Title• Category (political, economic, social and cultural)• Entity (person, location, nation)
2016-03-2074
The Annals of the Joseon Dynasty• National Institute of Korean History (http://www.history.go.kr)
– Translated it to modern Korean– Tagged meta information
• Title• Category (political, economic, social and cultural)• Entity (person, location, nation)
– Published on the web• http://sillok.history.go.kr
2016-03-2074
The Annals of the Joseon Dynasty
2016-03-2075
The Annals of the Joseon Dynasty
2016-03-2075
The Annals of the Joseon Dynasty
2016-03-2075
The Annals of the Joseon Dynasty
2016-03-2075
The Annals of the Joseon Dynasty
2016-03-2076
The Annals of the Joseon Dynasty
2016-03-2076
Time
The Annals of the Joseon Dynasty
2016-03-2076
TitleTime
The Annals of the Joseon Dynasty
2016-03-2076
TitleTime
Body
The Annals of the Joseon Dynasty
2016-03-2076
Title
Metainformation
Time
Body
The Annals of the Joseon Dynasty
2016-03-2077
Combining two local districts
The Annals of the Joseon Dynasty
2016-03-2077
Facts
Combining two local districts
The Annals of the Joseon Dynasty
2016-03-2077
Facts
Combining two local districts
The Annals of the Joseon Dynasty
2016-03-2077
Facts
Official A
Combining two local districts
The Annals of the Joseon Dynasty
2016-03-2077
Facts
Official A
“It’s reasonable to combine two local districts.”
Combining two local districts
The Annals of the Joseon Dynasty
2016-03-2077
Facts
Official A
King
“It’s reasonable to combine two local districts.”
Combining two local districts
The Annals of the Joseon Dynasty
2016-03-2077
Facts
Official A
King
“It’s reasonable to combine two local districts.”
Combining two local districts
“How should we handle this?”
The Annals of the Joseon Dynasty
2016-03-2077
Facts
Official A
King
Official B
Official C
“It’s reasonable to combine two local districts.”
Combining two local districts
“How should we handle this?”
The Annals of the Joseon Dynasty
2016-03-2077
Facts
Official A
King
Official B
Official CThe king follows
Official C’s suggestion.
“It’s reasonable to combine two local districts.”
Combining two local districts
“How should we handle this?”
Methodology• Identify relevant articles
– To avoid non-governmental affairs (e.g. observations)– Look at the kings words and decisions– 126K, 36% over all articles
2016-03-2078
Methodology• Identify relevant articles
– To avoid non-governmental affairs (e.g. observations)– Look at the kings words and decisions– 126K, 36% over all articles
• Identify king’s final decisions in the article– Build sixty candidate verbs
• Order: 명하다, 命• Approve: 윤허하다, 允• Disapprove: 불허하다, 不允• Reject: 따르지않았다, 不從• Follow: 따르다, 從之
– Look at the verbs in king’s last sentence and title
2016-03-2078
Ruling styles• Arbitrary Decision (AD)
• Discussion and Order (DO)
• Discussion and Follow (DF)
2016-03-2079
Ruling styles• Arbitrary Decision (AD)
– Like autocratic style– No discussion with officials– Orders directly
• Discussion and Order (DO)
• Discussion and Follow (DF)
2016-03-2079
Ruling styles• Arbitrary Decision (AD)
– Like autocratic style– No discussion with officials– Orders directly
• Discussion and Order (DO)– Like democratic style– Discussion with officials– Orders, approves, or rejects at the end
• Discussion and Follow (DF)
2016-03-2079
Ruling styles• Arbitrary Decision (AD)
– Like autocratic style– No discussion with officials– Orders directly
• Discussion and Order (DO)– Like democratic style– Discussion with officials– Orders, approves, or rejects at the end
• Discussion and Follow (DF)– Like laissez-faire style– Discussion with officials– Follows officials suggestion
2016-03-2079
Ruling styles
2016-03-2080
• Arbitrary Decision (AD) example
King
Facts
Ruling styles
2016-03-2080
• Arbitrary Decision (AD) example
King
Facts
“Remove all fences at the gates”
Ruling styles
2016-03-2081
• Discussion and Order (DO) example
Agency A
Official B
Official C
King
King
King
Ruling styles
2016-03-2081
• Discussion and Order (DO) example
Agency A
Official B
Official C
King
King
King
“Please interrogate a suspect”
Ruling styles
2016-03-2081
• Discussion and Order (DO) example
Agency A
Official B
Official C
King
King
King
“I don’t want to do that. Don’t ask me about that again”
“Please interrogate a suspect”
Ruling styles
2016-03-2082
• Discussion and Follow (DF) example
Facts
Official A
King
Official B
Official CThe king follows
Official C’s suggestion.
Research Question 11. Do kings show different kinds of leadership styles?
2016-03-2083
Results – Among kings
2016-03-2084
• Each king shows different ruling style– Multinomial test between king’s ruling style distribution ( < 0.001)
Results – Among kings
2016-03-2084
• Each king shows different ruling style– Multinomial test between king’s ruling style distribution ( < 0.001)
• Tyrants (Yeonsangun, Gwanghaegun) show high value of AD
Research Question 22. What factors are related with kings’ leadership?
– Context/Topics?– Members?– Time?
2016-03-2085
Methodology• Discover topics in each article
– LDA [Blei et al. 2003] with 300 topics– LDA outputs a topic proportion for each article– LDA outputs a multinomial word distribution for each topic
2016-03-2086
Methodology• Discover topics in each article
– LDA [Blei et al. 2003] with 300 topics– LDA outputs a topic proportion for each article– LDA outputs a multinomial word distribution for each topic
• Identify who said what– To analyze the participants in the discussion– Look at subjects and person tags in front of the sentence
of each quote– 20K people/agencies
2016-03-2086
Results - TopicsRetirement Agriculture Remission Grants신하 곡물 죄 한필
은퇴 마을 법 한구획
지위 한구획 전하 하사
사람 창고 관여 안장
유능 사람 용서 한지역
일 쌀 찬성 한구역
의무 저장 반란 호필
직 흉년 사람 외피
2016-03-2087
Investigate the effects o
Results - Topics
2016-03-2088
Sejong the Great
Yeonsangun
Injo
Investigate the effects o
Results - Topics
2016-03-2088
Sejong the Great
Yeonsangun
Injo
Investigate the effects o
Results - Topics
2016-03-2088
Sejong the Great
Yeonsangun
Injo
Investigate the effects o )
• ResultsDifferent from overall( )
Results - Topics
2016-03-2088
Sejong the Great
Yeonsangun
Injo
• Remission of sins topic– Kings act DO than overall– Injo tends to DF
Results - Topics
2016-03-2089
Sejong the Great
Yeonsangun
Injo
• Remission of sins topic– Kings act DO than overall– Injo tends to DF
• Granting rewards topic– Sejong the Great acts DF– Yeonsangun acts arbitrarily– Injo tends to give grants to
servants than overall
Results - Topics
2016-03-2089
Sejong the Great
Yeonsangun
Injo
Results - Members• Investigate the effects of the participants in a discussion
– Compute the mutual information among ruling styles
2016-03-2090
Results - Members• Investigate the effects of the participants in a discussion
– Compute the mutual information among ruling styles• Results
– Discussion and Order• Chief secretary• Local government officials
2016-03-2090
Results - Members• Investigate the effects of the participants in a discussion
– Compute the mutual information among ruling styles• Results
– Discussion and Order• Chief secretary• Local government officials
– Discussion and Follow• Central government officials• Crown prince• Agency officials who remonstrate to the king
2016-03-2090
Results – Time
• Investigate the changes over time– Look at the temporal difference of a king
2016-03-2091
Yeonsangun Injo
Results – Time
• Investigate the changes over time– Look at the temporal difference of a king
• Results– Yeonsangun becomes more arbitrary over time– Injo stays consistent in his ruling style
2016-03-2091
Yeonsangun Injo
Conclusion• AIs are getting strong
– The singularity is near– Optimistic? Pessimistic?
2016-03-2092
Conclusion• AIs are getting strong
– The singularity is near– Optimistic? Pessimistic?
• I am machine learning researcher– Making algorithms and models for specific problems– Analyzing (text) dataset– Helping to make ASI
2016-03-2092
Conclusion• AIs are getting strong
– The singularity is near– Optimistic? Pessimistic?
• I am machine learning researcher– Making algorithms and models for specific problems– Analyzing (text) dataset– Helping to make ASI
2016-03-2092
Reference• Chemers, M. (2014). An integrative theory of leadership. Psychology Press.• Mills, D. Q. (2005). Leadership: How to lead, how to live. MindEdge Press.• Lewin, K., Lippitt, R., & White, R. K. (1939). Patterns of aggressive behavior in
experimentally created “social climates”. The Journal of Social Psychology, 10(2), 269-299.
• Bligh, M. C., Kohles, J. C., & Meindl, J. R. (2004). Charting the language of leadership: a methodological investigation of President Bush and the crisis of 9/11. Journal of Applied Psychology, 89(3), 562.
• Hoel, H., Glasø, L., Hetland, J., Cooper, C. L., & Einarsen, S. (2010). Leadership styles as predictors of self-reported and observed workplace bullying. British Journal of Management, 21(2), 453-468.
• Kaarbo, J. (1997). Prime minister leadership styles in foreign policy decision-making: A framework for research. Political Psychology, 553-581.
• Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent dirichlet allocation. the Journal of machine Learning research, 3, 993-1022.
• Van Vugt, M. (2006). Evolutionary origins of leadership and followership. Personality and Social Psychology Review, 10(4), 354-371.
2016-03-2093
Reference• http://waitbutwhy.com/2015/01/artificial-
intelligence-revolution-1.html• http://waitbutwhy.com/2015/01/artificial-
intelligence-revolution-2.html• http://www.singularity.com
2016-03-2094
Image sources• http://www.popsci.com/microsoft-makes-ai-easier• http://kevinbinz.com/tag/machine-learning/• http://onhech.blogspot.com/2013/10/laissez-faire-
leadership-is-less-more.html• http://www.imbc.com/broad/tv/drama/isan/preview/16
73111_23417.html• https://en.wikipedia.org/wiki/Joseon• https://en.wikipedia.org/wiki/Korean_Peninsula• http://store.steampowered.com/app/99612• http://sillok.history.go.kr• http://sillok.history.go.kr/viewer/viewtype1.jsp?id=kda_
10103027_005
2016-03-2095
2016-03-2096
Thank you!Any questions or comments?
JinYeong Bakjy.bak@kaist.ac.kr
U&I Lab, KAIST
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