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The chronological progression of UX, beginning with experience design and ending with intelligence design, and the direction in which this process is headed is also discussed. An introduction to the subject of User Experience(UX) design is followed by the rules that have to be considered during the designing process. With 135 slides, this presentation provides an exhaustive insight into the creation of an ethically sound AI. Another point it highlights is the combination of supervised and unsupervised being the key in ML application.ġ3) Design Ethics for Artificial Intelligence It stresses on the need the to focus on feature engineering and being thoughtful about the ML infrastructure. The second presentation on Quora, talks about teaching machines only what is necessary. Pointers for business leaders in Asia to capitalize on AI is offered in the end along presentation with an info-graphic timeline of the history of AI.ġ2) 10 Lessons Learned from Building Machine Learning Systems- Netflix and 10 more lessons learned from building Machine Learning systems-Quoraġ0 more lessons learned from building Machine Learning systems – MLConf from Xavier Amatriain

The review also suggests that while there is awareness about AI in Asia, only a small percentage of companies are investing in it. They are a numerical reflection of the mood surrounding the adoption of AI across different industries and how it could possibly impact human capital. The data collected for the review has been summarized in the form of simple info-graphics. It suggests that Asia will not only benefit greatly from the rise in AI technology, but will also define it.

This presentation is a briefing paper by the MIT Technological Review and talks about how the global adoption of AI is being sped up by Asian countries. MIT Technology Review from Alexander Jarvis

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