Biased data teaches algorithms how to discriminate

#ai Biased data teaches algorithms how to discriminate  via @thenextweb

  • Algorithms depend on math, but they’re data driven — sometimes the information being fed into one is incorrect or doesn’t represent the actual goals of the algorithm.
  • Cathy O’Neil, the author of Weapons of Math Destruction, cautions us against trusting the data being fed into our judicial systems:

    In the video she explains how mistakes made by algorithms cause existing problems to become even worse:

    And what ProPublica found was the compass model, which is one version of a recidivism model, made mistakes by sending people to prison longer, that kind of mistake, twice as often for African-American defendants as for white defendants, at least in Broward County Florida.

  • The problem with using algorithms in police work is: there’s no such thing as crime data.
  • Statistically a Black person is four times more likely to be arrested for the same crime as a white person.
  • The data used to power these algorithms — the ones that are supposed to predict who will commit a crime next, and which suspects are going to become repeat offenders — is flawed to begin with.

A Harvard mathematician explains why algorithms used for sentencing and policing are biased in the same way as traditional methods.
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Google made a site that shows how millions of people draw the same object

Google made a site that shows how millions of people draw the same object

  • Back in November, Google released artificial intelligence experiment that asks you to draw a random object and see if the neural network can identify your doodle.
  • was eventually turned into a tool that transformed drawings into clip art based on the best results it got, helping people add a visual icon to their work without requiring any particular artistic talent.
  • I wasn’t very confident in my frog (croak) so I felt that adding “Ribbit” to the drawing might provide context, even if the AI might not be able to read.
  • Face is a neat one too — I’d guess that depending on the artist, most of these drawings were interpreted as a self portrait.
  • While you can argue that most people see frog in mostly the same way, dragon produced a variety of results — from fire-breathing to horned.

Back in November, Google released artificial intelligence experiment that asks you to draw a random object and see if the neural network can identify your doodle. Quick, Draw! was eventually turned…
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Scikit-Learn Tutorial Series

9-part Scikit-Learn Tutorial Series:  #abdsc #Python #MachineLearning #BigData #DataScience

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  • Added by Tim Matteson 0 Comments 0 Likes
  • Kaggle released a series with tutorials in their blog.
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  • I recommend to anyone who is starting or want to learn more about the tool.

Kaggle released a series with tutorials in their blog. I recommend to anyone who is starting or want to learn more about the tool.

Intro to machine learning…
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World’s largest hedge fund to replace managers with artificial intelligence

World’s largest hedge fund to replace managers with artificial intelligence

  • The machine will make the decisions, according to a set of principles laid out by Dalio about the company vision.
  • Another app, dubbed The Contract, gets staff to set goals they want to achieve and then tracks how effectively they follow through.
  • The company is already highly data-driven, with meetings recorded and staff asked to grade each other throughout the day using a ratings system called “dots”.
  • Posted by Zoltan Istvan in categories: finance , robotics/AI , transhumanism
  • A lot of management is basically information work, the sort of thing that software can get very good at.”

World’s largest hedge fund to replace managers with artificial intelligence
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IBM and NVIDIA Team Up on World’s Fastest Deep Learning Enterprise Solution

IBM and NVIDIA Team Up on World’s Fastest Deep Learning Enterprise Solution

  • Deep learning is a fast growing machine learning method that extracts information by crunching through millions of pieces of data to detect and rank the most important aspects from the data.
  • Publicly supported among leading consumer web and mobile application companies, deep learning is quickly being adopted by more traditional business enterprises.
  • Posted by Karen Hurst in categories: business , finance , robotics/AI , transportation
  • Deep learning and other artificial intelligence capabilities are being used across a wide range of industry sectors; in banking to advance fraud detection through facial recognition; in automotive for self-driving automobiles and in retail for fully automated call centers with computers that can better understand speech and answer questions.
  • SALT LAKE CITY, Nov. 14, 2016 /PRNewswire/ IBM (NYSE: IBM ) and NVIDIA (NVDA)today announced collaboration on a new deep learning tool optimized for the latest IBM and NVIDIA technologies to help train computers to think and learn in more human-like ways at a faster pace.

IBM and NVIDIA Team Up on World’s Fastest Deep Learning Enterprise Solution
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Scikit-Learn Tutorial Series – Data Science Central

9-part Scikit-Learn Tutorial Series:  #abdsc #BigData #Python #MachineLearning #DataScience

  • Kaggle released a series with tutorials in their blog.
  • I recommend to anyone who is starting or want to learn more about the tool.
  • by Diego Marinho de Oliveira
  • Data Science Central
  • Scikit-Learn Tutorial Series

Kaggle released a series with tutorials in their blog. I recommend to anyone who is starting or want to learn more about the tool.
Continue reading “Scikit-Learn Tutorial Series – Data Science Central”

This Week in Machine Learning, 30 September 2016 – Udacity Inc – Medium

This Week in #MachineLearning, 30 September 2016. #BigData #DataScience #AI

  • Machine Learning is one of the most exciting fields in the world.
  • That’s why we created This Week in Machine Learning!
  • Each week we publish a curated list of Machine Learning stories as a resource to help you keep pace with all these exciting developments.
  • Google opens up its Cloud Machine Learning platform to an open public beta , along with their Machine Learning Advanced Solutions Lab to give access to Google engineers.
  • Mountain View-based cybersecurity company Shape Security secures $40 million in Series D funding to use machine learning to address real-time threats.

This week’s top Machine Learning stories, featuring a 40% increase in US productivity by 2035 thanks to artificial intelligence!
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