Tech Intersect™ with Tonya M. Evans

Tech Intersect #10: Chris Odinet-Alternative Data & Bias in AI-based Consumer Lending

February 21, 2020 Tonya M. Evans Season 1 Episode 11
Tech Intersect™ with Tonya M. Evans
Tech Intersect #10: Chris Odinet-Alternative Data & Bias in AI-based Consumer Lending
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Tech Intersect™ with Tonya M. Evans
Tech Intersect #10: Chris Odinet-Alternative Data & Bias in AI-based Consumer Lending
Feb 21, 2020 Season 1 Episode 11
Tonya M. Evans
In this episode of Tech Intersect, I welcome Professor Christopher K. Odinet to discuss his recent work in crypto lending and consumer data that explores the potentially discriminatory impact of artificial intelligence and machine learning on fintech lending. We talk about consumer lending, inclusion and social impact as Web 3.0 technologies like AI and machine learning usher in tech companies that act more like banks engaging in more banking-like things than pure tech companies do, especially for small unsecured consumer loans. The reason? Household debt is higher today than it has ever been in history (mortgage, car, student loans). 

The borrowed amounts tend to be lower even though household incomes are up. FinTech lenders are providing small dollar, short term loans to make middle American ends meet. And while some define “middle class” by income and others by lifestyle, perhaps another definition involves access to credit that often leads to a lifetime of debt. A stranglehold for most people trying to live the American dream. And huge, evergreen profits for tech companies getting into the lending business for unsecured, personal consumer loans. Questions persist, about how the law should deal with the problems these newcomers experience that might be similar to the issues that banks deal with and, because it isn’t all doom and gloom, how these tech companies might be different. Tune in and tweet me @AtTechIntersect so we can listen, learn and leverage together. 

Chris Odinet is an associate professor of law at the University of Oklahoma College of Law and is an affiliate faculty member with the Tom E. Love Division of Entrepreneurship and Economic Development in the University of Oklahoma Price College of Business. 
 

Guest Social Assets:

Twitter: @ChrisOdinet Web: https://www.law.ou.edu/directory/christopher-odinet

Professor Odinet’s book: Foreclosed: Mortgage Servicing and the Hidden Architecture of Homeownership in America (Cambridge University Press 2019)
 
 

Full Show Notes: https://techintersectpodcast.com/listen/episodes-shownotes/

**Watch the mental health and wealth expert Anthony Ware Ask Me Anything (AMA) Replay** 

Contact:

Questions and requests: hello@techintersectpodcast.com 

Follow: Twitter @AtTechIntersect Instagram @TechIntersect 

Web: http://www.TechIntersectPodcast.com 

Subscribe to the Triple L Weekly: http://eepurl.com/gKqDyP (early episode access + info)

Want early access to episodes, exclusive content including full show notes, live video chats and replays, a copy of my e-book, The Gen Xers Guide to Upskilling for a Web 3.0 Wor

Support the show (https://techintersectpodcast.com/join/)

Show Notes
In this episode of Tech Intersect, I welcome Professor Christopher K. Odinet to discuss his recent work in crypto lending and consumer data that explores the potentially discriminatory impact of artificial intelligence and machine learning on fintech lending. We talk about consumer lending, inclusion and social impact as Web 3.0 technologies like AI and machine learning usher in tech companies that act more like banks engaging in more banking-like things than pure tech companies do, especially for small unsecured consumer loans. The reason? Household debt is higher today than it has ever been in history (mortgage, car, student loans). 

The borrowed amounts tend to be lower even though household incomes are up. FinTech lenders are providing small dollar, short term loans to make middle American ends meet. And while some define “middle class” by income and others by lifestyle, perhaps another definition involves access to credit that often leads to a lifetime of debt. A stranglehold for most people trying to live the American dream. And huge, evergreen profits for tech companies getting into the lending business for unsecured, personal consumer loans. Questions persist, about how the law should deal with the problems these newcomers experience that might be similar to the issues that banks deal with and, because it isn’t all doom and gloom, how these tech companies might be different. Tune in and tweet me @AtTechIntersect so we can listen, learn and leverage together. 

Chris Odinet is an associate professor of law at the University of Oklahoma College of Law and is an affiliate faculty member with the Tom E. Love Division of Entrepreneurship and Economic Development in the University of Oklahoma Price College of Business. 
 
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Guest Social Assets:

Twitter: @ChrisOdinet Web: https://www.law.ou.edu/directory/christopher-odinet

Professor Odinet’s book: Foreclosed: Mortgage Servicing and the Hidden Architecture of Homeownership in America (Cambridge University Press 2019)
 
About FICO: https://www.fico.com/en/about-us
 
About Vantage: https://www.vantagescore.com/

Full Show Notes: https://techintersectpodcast.com/listen/episodes-shownotes/

**Watch the mental health and wealth expert Anthony Ware Ask Me Anything (AMA) Replay** 

Contact:

Questions and requests: hello@techintersectpodcast.com 

Follow: Twitter @AtTechIntersect Instagram @TechIntersect 

Web: http://www.TechIntersectPodcast.com 

Subscribe to the Triple L Weekly: http://eepurl.com/gKqDyP (early episode access + info)

Want early access to episodes, exclusive content including full show notes, live video chats and replays, a copy of my e-book, The Gen Xers Guide to Upskilling for a Web 3.0 Wor

Support the show (https://techintersectpodcast.com/join/)