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Yet another way of using Alexa to steal from you
Bias in AI:
Governments use satellite imagery of cities, and algorithmic analysis of these images, for planning and policies.
This article shows how differences in the algorithms can lead to bias against certain sections of the city/groups of people:
theatlantic.com/technology/arc…
Governments use satellite imagery of cities, and algorithmic analysis of these images, for planning and policies.
This article shows how differences in the algorithms can lead to bias against certain sections of the city/groups of people:
theatlantic.com/technology/arc…
AI has serious problems. Purely data driven recommendations don't have a sense of right and wrong.
Machine learning isn't there yet
We need to worry about dangers of medical AI. Now. Because some AI systems are actually starting to replace human judgment; and we're still in the era when most software is written by folks who believe in “move fast and break things.” Details:
lukeoakdenrayner.wordpress.com/2018/07/11/med…
lukeoakdenrayner.wordpress.com/2018/07/11/med…
2/2 “Several companies (i.e., Google, Enlitic, among others) have been practising “off-shoring” – they are taking their AI products to jurisdictions with more lax regulatory environments”
AIFail: Nest doorbell locked the door because it did not recognize the face ... on the T-Shirt!!
Machine learning still has some problems to solve
SMBC Comics points out that the machines will lose the human-machine war
smbc-comics.com/comic/rise-of-…
smbc-comics.com/comic/rise-of-…
"Near future application of drone technology" (I bet you did not think of this potential application)
reddit.com/r/funny/commen…
reddit.com/r/funny/commen…
Amazon's job applicant filtering AI had to be turned off because it was inadvertently rejecting women.
Adding this to my "AI has problems" thread
Adding this to my "AI has problems" thread
Amazon hopes Alexa will listen to your voice and "detect" if you're sick/depressed, and suggest medicines:
arstechnica.com/gadgets/2018/1…
Tencent is working on AI that can detect Parkinson's in 3 minutes: forbes.com/sites/samshead…
via @exponentialview newsletter (highly recommended)
arstechnica.com/gadgets/2018/1…
Tencent is working on AI that can detect Parkinson's in 3 minutes: forbes.com/sites/samshead…
via @exponentialview newsletter (highly recommended)
Alright, the new name for Machine Learning is bias automation
Machine Learning can be racist, sexist, or otherwise discriminatory in an “emergent” way (i.e. without race or gender being explicitly involved anywhere in the data or the algorithm).
If you don't understand this, you need to educate yourself
If you don't understand this, you need to educate yourself
Seen on HackerNews: Instead of calling it ML (Machine Learning), we should be calling it MG (Machine Guessing)
We're in a bit of trouble. A new paper indicates that creating AI algorithms that are simple+interpretable and those that are fair might be conflicting goals
Always keep this in mind when you encounter a machine learning algorithm being used for investing
“People worry that computers will get too smart and take over the world, but the real problem is that they’re too stupid and they’ve already taken over the world.” —Pedro Domingos
AI still has some bugs to iron out before taking over the world
Heartbreaking AI fail
Great thread showing how companies are no longer in control of their algorithms. This is just a taste of things to come.
AI still has some work to do.
(For non-Hindi speakers, the translation is: for quick enquiry, water the farms)
(For non-Hindi speakers, the translation is: for quick enquiry, water the farms)
Another example of bias in AI. A new study, published last month, shows that emotional analysis technology assigns more negative emotions to black men’s faces than white men’s faces.
singularityhub.com/2019/01/11/und…
singularityhub.com/2019/01/11/und…
AI in surveillance cameras recognizes face in the snow and spams owner all day
When algorithms rule the world, you need to keep your phone charged, and your English grammar good to get a loan
