Self-learning Systems with Artificial Intelligent Applications
Tjasa Zapusek
Journal of Information Organization, Vol. 8, No. 4, 2018.
DOI: 
Link: http://www.dline.info/jio/fulltext/v8n4/jiov8n4_3.pdf
Abstract:
Modern technology often gives us an impression of a better life, yet simultaneously raises new risks that have not been present ever before. This paper will present differences between three different â€˜decision-making processesâ€™ that occur as
a consequence of three different types of systems, namely, AI can be equipped with a deterministic algorithm, a supervised, or
an unsupervised learning algorithm. Through this systematization, concerns regarding foresee ability and certainty of the
systemâ€™s actions will be examined. The scope of the thesis is limited to foresee ability regarding harm caused by physical
machines or products, equipped with advanced algorithms. This paradox raises questions regarding the role of scientists in
situations when they are facing uncertain risks, and legal scholars when regulating advanced technology.