Suomeksi - In English
- Developing Turku AI Society and establishing the theoretical and societal discussion sphere of AI in Finland
- Organizing Turku AI Week and the first National Seminar of Theoretical AI
- Establishing Finnish AI Lab project with a goal "Building Artificial Moral Agents"
How to define and more importantly how to perceive the different approaches of AI remains as quite a ragbag.
Here's the definition of the different approaches of three relatively well-known sources. Yes, I have included Wikipedia here, Wikipedia articles on AI are relatively good and clear at least in giving the overview on the subject.
Updated and separated list based on Artificial Intelligence in Finland post. The listing isn't systematic, but updated by AI events, publications etc. I am more than happy include new people (PhD student and above) to the list, ping @Twitter.
TAST - Against the technology as a tool discourse. This blog series presents my views against common claims to be made in order to undersate AIs, robots and machine learning agents moral dimensions and highlighting AI technology as a tool. 1) All AI agents are designed 2) The view against computationalism 3) Anthropomorphized view of intelligence. Themes overlap each others and I might add some themes more to the list.
A common claim is that all AI systems, robots and machine learning solutions are designed. All they do is originated to human designer and implementer.
I got a change to give my first presentation on philosophy of AI from the wide perspective, not focusing on ethics only. I am just starting with the understanding mind-body problem in a deeper meaning and still have a long way to go with reading the earlier works on the topic. However, it remains the basic and fundamental topic related to AI and the possible effects on philosophy are massive.
Bostrom presents five different paths to achieving superintelligence level. Having different paths to superintelligence is important, because if one path is blocked, we can still progress in another.
Artificial intelligence
- programming-based approach
- capacity to learn is an integral feature (a child machine, "seed AI")
- "evolutionary process", but enhanced and guided by human engineering (far more efficient than the natural evolution)
The first chapter of the book takes a look on the economical growth of the human history, presents a brief history of AI research and development and offers AI researchers' estimations of the timeline for developing human-level and superlevel artificial intelligence.
Growth modes
The human history involves different growth modes in which the economical development has followed a really different pace.
Prehistory - Agriculture - Industrial
AI Now 2017 Report
https://assets.contentful.com/8wprhhvnpfc0/1A9c3ZTCZa2KEYM64Wsc2a/8636557c5fb14f2b74b2be64c3ce0c78/_AI_Now_Institute_2017_Report_.pdf