Timo Honkela of the University of Helsinki gave a presentation in Tokyo, Japan on June 20, 2018 about his concept of a "Peace Machine" that uses artificial intelligence to promote a more peaceful world. He discussed how machine learning could be guided by intentions to build understanding between people and reduce anger, fear and disrespect. Honkela proposed that the Peace Machine could start with meetings connecting large groups of people across borders using translation and help guide emotions in a healthy direction. He suggested launching the Peace Machine internationally in Tokyo on that date.
Exploration Method’s in Archaeological Studies & Research
Timo Honkela: Peace Machine: Using Artificial Intelligence to Promote Peaceful World
1. Timo Honkela, University of Helsinki, visiting Tokyo, Japan, 20 June 2018
Peace Machine:
Using Artificial Intelligence to
Promote More Peaceful World
Timo Honkela
University of Helsinki
Finland
Toyo University, Tokyo, Japan
20 Jun 2018
2. Timo Honkela, University of Helsinki, visiting Tokyo, Japan, 20 June 2018
Words in Japanese
https://youtu.be/VooS_rogERk
(Translation from English to Japanese by Calkin Suero Montero)
3. Timo Honkela, University of Helsinki, visiting Tokyo, Japan, 20 June 2018
Some selected
events in
the personal
life story
7. Timo Honkela, University of Helsinki, visiting Tokyo, Japan, 20 June 2018October 2017 and onwards
8. Timo Honkela, University of Helsinki, visiting Tokyo, Japan, 20 June 2018
Backgroun and
the basic
elements of
Peace Machine
9. Timo Honkela, University of Helsinki, visiting Tokyo, Japan, 20 June 2018
https://www.pinterest.com/pin/509680882801748515/
https://www.csc.fi/
10. Timo Honkela, University of Helsinki, visiting Tokyo, Japan, 20 June 2018
Rationality
(linguistic mind)
Intuition
(experienced mind)
Emotions,
sentiments
Action
Perception
Embodiment
Human
mind
Memory
systems
11. Timo Honkela, University of Helsinki, visiting Tokyo, Japan, 20 June 2018
https://clipartfest.com/categories/view/97c2b05418492d1354162eeca5780343bebd1002/free-clip-art-professions.html
12. Timo Honkela, University of Helsinki, visiting Tokyo, Japan, 20 June 2018
Three areas
● Languages, conceptual systems,
communication and mutual
understanding
● Emotions, identities and happiness
● Society, democracy and economy
13. Timo Honkela, University of Helsinki, visiting Tokyo, Japan, 20 June 2018
Specific themes
related to
Peace Machine
14. Timo Honkela, University of Helsinki, visiting Tokyo, Japan, 20 June 2018
Machine
Learning
and
Intentions
15. Timo Honkela, University of Helsinki, visiting Tokyo, Japan, 20 June 2018
http://arxiv.org/pdf/1507.02672v1.pdf
Example: Rasmus, Valpola,
Honkala. Berglund, Raiko
https://en.wikipedia.org/wiki/Biological_neural_network
Artificial and biological neural networks
16. Timo Honkela, University of Helsinki, visiting Tokyo, Japan, 20 June 2018
Machine Learning
serving Intentions?
● A commonly recognized problem is that
machine learning results are based on data that
is given to the algorithm
● This often leads into
– Poor quality model if the data is not representative
– Model that does not match the intentions or goals
● Building future that is different from present
● Taking into account principles, not only what has
happened
17. Timo Honkela, University of Helsinki, visiting Tokyo, Japan, 20 June 2018
Machine Learning
serving Intentions
● Supervised learning → Old concepts kept
Unsupervised learning → Finding novel views & systems
Reinforcement learning → Building systems with goal
● Computational creativity: Finding novel solutions
● Deep learning of data that indicates what is nature and
characteristics of good intentions and successful means to
reach positive results
– Analogical reasoning at suitable level of abstraction
● Like a system can learn a different game,
it can learn to build means to reach positive goals
in new domains and different levels of abstraction
18. Timo Honkela, University of Helsinki, visiting Tokyo, Japan, 20 June 2018
Large
and
vast
meetings
19. Timo Honkela, University of Helsinki, visiting Tokyo, Japan, 20 June 2018
https://en.wikipedia.org/wiki/Japanese_people
20. Timo Honkela, University of Helsinki, visiting Tokyo, Japan, 20 June 2018
Meeting between
one million people… and more
● AI gives us new opportunities to build
communication among large number of people
● Local small meetings can be connected to build
large scale conversations
● These meeting can take place language
borders using machine translation
● … and over cultural borders thanks to meaning
negotiation systems
22. Timo Honkela, University of Helsinki, visiting Tokyo, Japan, 20 June 2018
Reducing anger and feat
● Building healthy identities
● Developing mutual respect
● Reducing categorical thinking
● Opening horizons by adding dimensions
● Through building and using wise personal
assistants
24. Timo Honkela, University of Helsinki, visiting Tokyo, Japan, 20 June 2018
Japan has been a forerunner
in many relevant areas
● Early developer of Artificial Intelligence
and Neural Networks
– Prof. Amari
● Internalized and externalized thoughts (SECI)
– Prof. Nonaka
● Emphasis on politeness and mutual respect
● Etc. etc.
25. Timo Honkela, University of Helsinki, visiting Tokyo, Japan, 20 June 2018
International launch of the
Peace Machine here and now!
https://japancheapo.com/events/miyajima-water-fireworks-festival/
https://yle.fi/uutiset/osasto/news/new_years_eve_celebrations_to_block_some_helsinki_streets/7713031
Tokyo, Japan, 20th
of June, 2018
26. Timo Honkela, University of Helsinki, visiting Tokyo, Japan, 20 June 2018
Steps towards future
● Book into several languages
● Society / societies, internationalization
● Implementation of different parts
● Seminars, workshops & conferences
● Research
– Humanities and social sciences &
mathematics and computer science
● Collaboration and networking
27. Timo Honkela, University of Helsinki, visiting Tokyo, Japan, 20 June 2018
Thank you for your attention!
Rikugien, Tokyo, Japan, 18 June 1018
28. Timo Honkela, University of Helsinki, visiting Tokyo, Japan, 20 June 2018
Some publications
● Harri Jäppinen, Timo Honkela, Heikki Hyötyniemi, and Aarno Lehtola. A
multilevel natural language processing model. Nordic Journal of Linguistics,
11:69–82, 1988
● Timo Honkela, Ville Pulkki, and Teuvo Kohonen. Contextual relations of words in
Grimm tales, analyzed by self-organizing map. In F. Fogelman-Soulié and P.
Gallinari, eds, Proc. of ICANN'95, International Conference on Artificial Neural
Networks, volume II, pages 3–7, Nanterre, France, 1995.
● Timo Honkela. Koneen äly, oppiminen ja viisaus (machine intelligence, learning
and wisdom). In Inhimillinen kone - konemainen ihminen, pages 18–32. Helsinki
University Press, Helsinki, 2001.
● Timo Honkela, Juha Raitio, Krista Lagus, Ilari T. Nieminen, Nina Honkela, and
Mika Pantzar. Subjects on objects in contexts: Using GICA method to quantify
epistemological subjectivity. In Proceedings of IJCNN 2012, International Joint
Conference on Neural Networks, pages 2875–2883, 2012.