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  • 1.  Credit Risk - Why Model Fairness Is Needed: Chat with The Lab Webinar Series

    Posted Wed April 29, 2020 07:37 PM
    Edited by Jess Leitsch Fri May 01, 2020 06:30 PM

    In this webcast, Rakshith will discuss the applications of Machine Learning and AI Fairness techniques in credit risk models for banking institutions. We will cover the typical use cases and the approaches the Data Science Elite (DSE) team used to address the challenges and necessity

    in mitigating model bias. Also, we will cover how to increase trust and transparency between the bank and their customers regarding the customer's risk score from the model. This session will also introduce the Credit Risk accelerator that was developed based on the experience of the DSE team.

    Credit Risk - Why Model Fairness Is Needed: Chat with The Lab Webinar Series
    WATCH NOW 
    On Demand Recording: here 
    Download the slides: here 

    Check out the Chat with The Lab Webinar Series here 
    Watch Open Standards for Machine Learning Model Deployment Chat with The Lab Webinar here 



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    JORGE CASTANON
    Chat with labs webinar series: https://ibm.co/Chat-With-The-Lab-Webinar
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  • 2.  RE: Credit Risk - Why Model Fairness Is Needed: Chat with The Lab Webinar Series

    Posted Fri May 01, 2020 02:32 PM
    Edited by Rakshith Dasenahalli Lingaraju Fri May 01, 2020 02:32 PM
    Hello everyone, 
    Below you'll find some additional resources I mentioned during the presentation. Please reply with any of your questions below. 



    Additional Resources: 
    LIME (Local Interpretable Model-Agnostic Explanations) : https://arxiv.org/abs/1602.04938
    Contrastive explanation : https://arxiv.org/abs/1802.07623
    IBM Watson OpenScale : https://www.ibm.com/cloud/watson-openscale
    IBM AI Fairness 360 Open Source Toolkit : http://aif360.mybluemix.net
    IBM AI Explainability 360 Open Source Toolkit: http://aix360.mybluemix.net

    Thanks, 



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    Rakshith Dasenahalli Lingaraju
    IBM Data Science and AI Elite
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  • 3.  RE: Credit Risk - Why Model Fairness Is Needed: Chat with The Lab Webinar Series

    Posted Mon May 04, 2020 02:33 PM
    Edited by Kalyan Prasad Mon May 04, 2020 02:43 PM
    @Rakshith Dasenahalli Lingaraju : Thank you so much for this wonderful session. It was really very nice!
    I missed to ask one question during Q&A . So my question is what is the connection between credit and liquidity risk? How do we handle them in real time?

    Thank you!

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    Kalyan Prasad
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  • 4.  RE: Credit Risk - Why Model Fairness Is Needed: Chat with The Lab Webinar Series

    Posted Mon May 04, 2020 02:36 PM
    Hi @Kalyan Prasat what do you mean about connection? Could you explain more what do you want to know? I am no expert, just learning like you but don't understand the question? You want to know a precise process?

    All the best

    Ricardo Andres Fernandez Garcia






  • 5.  RE: Credit Risk - Why Model Fairness Is Needed: Chat with The Lab Webinar Series

    Posted Mon May 04, 2020 02:52 PM
    Hi @Ricardo Fernandez : In general liquidity risk is the current and future risk arising from a bank's inability to meet its financial obligations when they come due. My question is I just want to understand the relationship between these two risks(like precise process)​. How do we handle them in industry ?

    Thank you

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    Kalyan Prasad
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