On the Google AI Blog, Jeff Dean wrote about Google’s research in 2019, and looking forward into 2020.
Me: Alexa, play 70s folk music.
*Alexa starts playing a James Taylor song*
Me: Alexa, never play songs by James Taylor.
Alexa: Shuffling James Taylor playlist, on Amazon Music.
Two days ago Google announced their “Principles/Objectives for using AI”:
1. Be socially beneficial
2. Avoid creating or reinforcing unfair bias
3. Be built and tested for safety
4. Be accountable to people
5. Incorporate privacy design principles
6. Uphold high standards of scientific excellence
7. Be made available for uses that accord with these principles
“Human beings don’t want to be controlled by machines. And we are increasingly being controlled by machines ... This is likely to be the narrative of the next thirty years.”
This quote from Fred Wilson’s What happened in 2017 article makes me think of Apple’s recent dumb software design decisions as much as it makes me think of algorithms that control my news feeds. As just one example, Apple’s decision to make the “turn off bluetooth” button mean “turn off bluetooth ... well, just until tomorrow” makes me want to switch to Samsung. So, yeah, if I don’t want to be controlled by Apple’s poor design decisions, I sure don’t want to be controlled by robots.
According to ARK Invest, the cost of industrial robots will drop 65% by 2025. As they write, “Combined with advances in machine learning and computer vision, this drop in costs should cause an inflection point in the demand for robots as they infiltrate new industries with more provocative use cases.” (Image from the ARK Invest website.)
Following a few other articles I’ve read recently about the “AI chip market,” techcrunch has an article, The AI chip startup explosion is already here.
From this Cornell University page, Google’s AlphaZero algorithm has been generalized to learn new games given only the game rules: “In this paper, we generalise this approach into a single AlphaZero algorithm that can achieve, tabula rasa, superhuman performance in many challenging domains.
Amazon AWS is bringing AI and deep learning to the masses with their SageMaker and DeepLens projects. itworld.com has a story about it here.