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.
- 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.
The human history involves different growth modes in which the economical development has followed a really different pace.
Prehistory - Agriculture - Industrial
The Finnish government is launching development program in order to make Finland the leader in the application of artificial intelligence.
Here is a listing on what's happening on the AI field in Finland already.
Benefits and Risks of Artificial Intelligence - Thomas G. Dietterich
Long-Term and Short-Term Challenges to Ensuring the Safety of AI Systems - J. Steinhardt