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Episode 87  |  26:29 min

Episode 87: Trust and the Data Scientist's Dilemma

Episode 87  |  26:29 min  |  11.25.2019

Episode 87: Trust and the Data Scientist's Dilemma

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This is a podcast episode titled, Episode 87: Trust and the Data Scientist's Dilemma. The summary for this episode is: <p>Is it unethical if your company doesn’t do it’s due diligence on avoiding bias? In this episode, Jon Prial talks with Kathryn Hume, the Vice President of Product and Strategy at integrate.ai. Kathryn and her team recently published a paper entitled “Responsible AI in Consumer Enterprise” which offers a framework to help organizations operationalize ethics, privacy and security as they apply machine learning and artificial intelligence. Jon and Kathryn discuss the paper and highlight some of its key takeaways for today’s businesses. You’ll Learn About - How ethics can make or break a company - How machine learning systems can negatively impact people - Using a framework to examine ethical issues as you build ML systems - Practical advice for being more ethical with AI Learn more by accessing the show notes: http://bit.ly/2ycJALW</p>

Is it unethical if your company doesn’t do it’s due diligence on avoiding bias? In this episode, Jon Prial talks with Kathryn Hume, the Vice President of Product and Strategy at integrate.ai. Kathryn and her team recently published a paper entitled “Responsible AI in Consumer Enterprise” which offers a framework to help organizations operationalize ethics, privacy and security as they apply machine learning and artificial intelligence. Jon and Kathryn discuss the paper and highlight some of its key takeaways for today’s businesses. You’ll Learn About - How ethics can make or break a company - How machine learning systems can negatively impact people - Using a framework to examine ethical issues as you build ML systems - Practical advice for being more ethical with AI Learn more by accessing the show notes: http://bit.ly/2ycJALW

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