Data is the fuel that powers AI, but what happens when there is sugar in the proverbial gas tank? On this episode of Information Risk, David Loshin gets into the perils of using AI and large language models (LLMs). when the data is faulty. Socioeconomic pillars like healthcare, real estate, and law are affected. A lawyer blindly trusting AI-generated fictitious legal cases, the mishandling of COVID-19 diagnostic tools due to biased ML algorithms, and Zillow's failed attempt to predict real estate prices, leading to a massive financial fallout. In all of these examples, data quality is essential. David urges professionals and businesses to exercise due diligence in scrutinizing the data that feeds their AI models to ensure reliability and mitigate information risks. References: • "The ChatGPT Lawyer Explains Himself" • "Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans" • "The $500mm+ Debacle at Zillow Offers – What Went Wrong with the AI Models?" • "Zillow to shutter home buying business and lay off 2,000 employees as its big real estate bet falters" Information Risk is a podcast hosted by Doug Atkinson featuring David Loshin, a renowned data strategy consultant and director at the University of Maryland. David explores theoretical and real-world examples of 'information risk', the different types of risk that misuse and misinterpretation of data can pose to organizations. Contact David Loshin: LinkedIn Twitter knowledge-integrity.com Powered by Insight Jam

Doug and David discuss the complexities surrounding data privacy laws like the newly proposed American Privacy Rights Act. David goes into the proliferation of online data collection and how it's necessitated the drafting of comprehensive data privacy legislation akin to the EU's GDPR. Challenges and responsibilities of managing consumer data, data breaches, and navigating data privacy laws like CCPA, CPRA, and GDPR are all things businesses face in the current landscape. David and Doug examine the practical difficulties in complying with these laws, the impact of data sharing agreements, and a potential data future. Will individuals be compensated for their personal data? References: • Global Data Privacy Laws 2023: 162 National Laws and 20 Bills • The California Privacy Rights Act of 2020

Information Risk is a podcast hosted by Doug Atkinson featuring David Loshin, a renowned data strategy consultant and director at the University of Maryland. David explores theoretical and real-world examples of 'information risk', the different types of risk that misuse and misinterpretation of data can pose to organizations.

Contact David Loshin: ⁠LinkedIn⁠ | ⁠Twitter⁠ | ⁠knowledge-integrity.com⁠ Powered by ⁠Insight Jam

What happens when insurance companies start using AI models and tools to deny medical claims? Well, it's already happening.

David Loshin takes us on a journey through the risks that insurers open themselves up to by using patient data and AI tools to make healthcare decisions. The quality of data is never more important than when people's well being is on the line. If you've had a claim denied or have ever just used health insurance, you'll want to check out this deep dive into the inner workings of the insurance system.

Articles referenced:

• "Congressional Committee, Regulators Question Cigna System That Lets Its Doctors Deny Claims Without Reading Patient Files" (ProPublica):

• "How Cigna Saves Millions by Having Its Doctors Reject Claims Without Reading Them" (ProPublica)

• "Yet another health insurance company is using AI to deny medical claims." (un-covered)

• "UnitedHealth uses faulty AI to deny elderly patients medically necessary coverage, lawsuit claims" (CBS News)

• "AI May Not Be So Smart When Payors Use It To Deny Medical Claims" (Specialty Pharmacy Continuum)

• "AI gone astray: How subtle shifts in patient data send popular algorithms reeling, undermining patient safety" (STAT)

Information Risk is a podcast hosted by Doug Atkinson featuring David Loshin, a renowned data strategy consultant and director at the University of Maryland. David explores theoretical and real-world examples of 'information risk', the different types of risk that misuse and misinterpretation of data can pose to organizations.

Contact David Loshin: LinkedIn | Twitter | knowledge-integrity.com Powered by Insight Jam