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

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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

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

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

Where does predictive analysis go from helpful to creepy? How can a company leverage data science without risking their reputation? Back in 2012, the New York Times put out the article "How Companies Learn Your Secrets" by Charles Duhigg, which examined Target's use of predictive analysis and customers' reactions to it. In the article, the author claims that Target, by analyzing customers' habits at their stores, was able to predict a woman's pregnancy before she was. In this episode, David examines the reputation and potential regulatory risks businesses face when using predictive analysis and gets into the ethics of using customers' data to improve marketing techniques. What is the value proposition for predictive analysis? How can companies better articulate their goals in a mutually beneficial way?

Contact David Loshin: ⁠LinkedIn⁠

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⁠knowledge-integrity.com⁠

Join industry experts, implementers, end-users and solution builders at the world's only enterprise tech focused online community at the ⁠Insight Jam⁠.

Can collecting user data put your business at risk? In this episode David uses the example of Samsung smart TVs to dive deep into the potential compliance risks that companies face by collecting and storing user data. Companies that are using their products to monitor customer actions and behaviors are increasingly going to be subject to increased customer demands for privacy law requests. Current scale may be addressable using manual approaches or simple application there is going to be a lot of complexity in being able to appropriately respond to these types of requests.

Contact David Loshin: ⁠LinkedIn⁠

⁠Twitter⁠

⁠knowledge-integrity.com⁠

Join industry experts, implementers, end-users and solution builders at the world's only enterprise tech focused online community at the ⁠Insight Jam⁠.