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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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

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