Let‘s Code Pattern 02: Diversity and Inclusion – ensure loan fairness

The good combination of IBM coder program  and code patterns motivated me to dig in into the data science area a little bit, relating to the real-world topic diversity and inclusion . Also it was interesting to see: How the AI Fairness 360 toolkit, which is an open-source library to help detect and remove bias in machine learning models, can be used for data science in this context.

The diversity and inclusion topic started with a good statement:

Diversity and inclusion is more than a checkbox, it’s fuel for growth and success in any business or community.” IBM Coder Program.

This was one reason why I completed the challenges of the Diversity and Inclusion topic in the IBM coder program .

The IBM coder program

If you don’t know the IBM coder program, just visit this  link .
The program is about:

  • Growing skillset and reputation
  • Discovering and transparently discuss content 
  • Being rewarded with various tangible and intangible rewards

The code pattern Ensure loan fairness  was one of the challenges for Diversity and Inclusion topic.

Code pattern “Ensure loan fairness”

This code pattern is about machine learning with artificial intelligence, data science and python. It gives an introduction in how to use the AIF360 tool kit .

  • “The AI Fairness 360 toolkit is an open-source library to help detect and remove bias in machine learning models. The AI Fairness 360 Python package includes a comprehensive set of metrics for datasets and models to test for biases, explanations for these metrics, and algorithms to mitigate bias in datasets and models.“

In the related demo on IBM research-trusted UI, you can verify given ai models with different datasets and the bias mitigation algorithms .

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big open source players were “cap by hat” @w-jax

I was at winter-jax 2018 in Munich last week. This was my first time I attended this big developer conference.

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As you can see in the headline picture, two big players in open source area with cap by hat and  IBM, RedHat booths and with Viada  😉

One major topic this week was the potential deal, IBM is planning to buy RedHat for 34 billion US dollars. This potential deal played a big part in Sebastian Meyen´s opening speech on the first day of the winter jax conference in Munich.

He highlighted the history and  Red Hat´s contribution to open source.

If you want to listen his speech in German, you can watch the sessionon youtube here  . His speech is before the keynoteTrust and confidence through chaos” from Russ Miles

By the way, I like Russ Miles´s approach to “chaos engineering” .

My very high-level free interpretation of “chaos engineering” is:

  • “Break the system, before it breaks your business!”

From my point of view “chaos engineering” is more or less comparable with testing. So, I defined more detailed, free interpretations:

  • “Don’t be afraid and learn from testing/failure”
  • Bad news … yes, testers want to break your system, but the good news is: they will do it, before you run it in production 😉 “

Open source contribution

A very good match to the open source topic was the keynote from Christopher Ferris.

He asked the good question: Who pays for open source?  You can watch his session on youtube here

Christopher Ferris reminded us in his speech that IBM is a major player and contributer in open source, with a high involvement in Apache , Eclipse and Linux  during the creation and in development. These three projects are fundamental pillars for the open source business.

There are many other open source projects IBM contributes to, which you can find here  on the  IBM Developer site.

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Christopher Ferris during his keynote.

Open Source in AI

Also, Niklas Heidloff gave a session “Development of AI Applications without Machine Learning Skills”. In this session, Niklas also highlighted the topic open source with the Model Asset eXchange . The Model Asset eXchange contains free, deployable, and trainable code.

It is also very important to understand that these models on Model Asset eXchange are reusable for production, because they have licenses developers can verify.

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Image of the session from Niklas Heidloff. Here you can see some impressions from Niklas.

Open Source in Java

Steve Poole highlighted in his session “What’s new for Java in clouds?” that IBM open sourced OpenJ9 (Low memory footprint). Steve also reminded us in his session, that the Java community should be more active and should define the needs for cloud, machine learning and upcoming technologies like Quantum.

By the way Fernando Cejas did a session about Quantum Computing, you can check a sample here  “Quantum computing in action: IBM’s Q experience and the quantum shell game”.

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Moments

If you want to see our favourite moments of this conference, just visit the twitter moments from Miriam Oglesby.

Let’s see what’s next?

Greetings,

Thomas

PS: By the way, you can use the IBM Cloud for free, if you simply create an IBM Lite account. Here you only need an e-mail address.