• A (Not So) Secret Identity
    2024/07/31

    Could a faulty data system be the difference between food and starvation? David Loshin explores real-world examples of data matching errors, including a case in India where algorithmic errors led to the denial of food benefits. He and Doug get into data identity resolution, anonymization (and de-anonymization), and the risks associated with misidentification in large datasets. Learn more about the challenges of maintaining data privacy while achieving accurate record linkage and the potential role of AI in improving these processes. References: • How an algorithm denied food to thousands of poor in India’s Telangana • How We Investigated Welfare Algorithms in India (Part I) • Health Data in an Open World • How small details can create a big problem • Re-Identification of “Anonymized” Data • Revisiting the Uniqueness of Simple Demographics in the US Population • Simple Demographics Often Identify People Uniquely


    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

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    59 分
  • Yes, We're Arguing Semantics
    2024/07/19

    What's in a name? If you're an AI pulling from a massive data set, everything. This week on Information Risk podcast, Doug and David discuss semantic interoperability, its challenges, and implications across various industries. If 'PE' means 'physical examination' in one record set and 'pulmonary embolism' in another, it could spell serious trouble for a patient, especially if an AI system doesn't know the difference. David Loshin breaks down the complexities of data sharing, standardization, and the need for universal terminology in fields like healthcare and retail. References: • When health records don’t capture patient deaths - Lown Institute • Electronic Health Record Errors Are a Serious Problem - Information Week • Achieving Logistics Interoperability: The Best Way to Breakthrough The Tangle Of Dumb Data Integrations - Supply Chain Tech Insights


    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

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    1 時間 3 分
  • Wait, Who Has My Data Now?
    2024/06/12

    Join Doug Atkinson and David Loshin as they break down recent forfeiture order by the FCC involving location data violations by major telecom companies. They discuss the complexities of data sharing, the importance of governance, and the implications of information misuse. David describes how data practices need to evolve to better protect consumer information, and what companies need to do to avoid this type of information risk in the future. References: • FCC Fines Largest Wireless Carriers for Sharing Location Data • FCC Fines AT&T $57M for Location Data Violations • Service Meant to Monitor Inmates’ Calls Could Track You, Too • Senator Wyden Calls for FCC Investigation into Company Sharing Location Data


    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

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    1 時間
  • FinCENtivizing Customer Due Dilligence
    2024/05/30

    Plausible deniability won't cut it when it comes to financial regulation. On this episode of Information Risk, David Loshin enlightens us on the intricacies of customer due diligence and the risks related with poor practices. He and Doug discuss real-world enforcement actions by the Office of the Comptroller of the Currency against banks in Ohio and Connecticut and explore the broader implications of these issues within the financial system. They also talk cryptocurrency and highlight how digital currencies pose compliance challenges and are used by bad actors for illicit activities. On the other side of the coin, they talk enforcement actions, including recent Financial Crimes Enforcement Network (FinCEN) investigations, and the $4.4 billion fine levied on Binance for illicit activities on its platform.

    References: • Historic fine on Binance over alleged Hamas financing signals new era in crypto crackdown - Politico • Binance and CEO Plead Guilty to Federal Charges in $4B Resolution - U.S. Dept of Justice • Crypto Under the Gavel: Binance and Beyond - Amini & Conant

    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

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    1 時間 5 分
  • Bad Data → Bad AI
    2024/05/16

    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

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    1 時間 2 分
  • Everything is Fine(s): The Legal Landscape of Data Privacy
    2024/05/01

    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

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    1 時間 4 分
  • Did AI Deny My Insurance Claim?
    2024/04/17

    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

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    1 時間 4 分
  • Who Knew that Congress were Data Modelers?
    2024/03/27

    Navigating the intricacies of federal regulation can be difficult for small businesses, but even the largest of financial organizations can struggle with compliance. This week, David and Doug look into an example of compliance risk that does not involve data privacy: Bank of America's violation of the Home Mortgage Disclosure Act (HDMA). Failure to implement proper protocols led to BofA loan agents improperly reporting demographic information, which led to a hefty civil penalty and a mandate to overhaul their compliance procedures. Don’t miss out on this compelling narrative that might just change the way you view the role of data in legislative compliance. Contact David Loshin: LinkedIn Twitter knowledge-integrity.com Powered by Insight Jam


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    1 時間 2 分