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A (Not So) Secret Identity
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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.
Don't forget to like, subscribe, and share your thoughts in the comments below!
References:
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:
Chapters:
00:00 Introduction and topic overview
05:44 Example of identity resolution gone wrong in India
15:06 Discussion on data anonymization and re-identification risks
29:05 Challenges in record linkage and identity resolution
41:29 Exploring solutions and guardrails for data matching systems
54:51 The role of AI in improving data matching accuracy
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.
Don't forget to like, subscribe, and share your thoughts in the comments below!
References:
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:
Chapters:
00:00 Introduction and topic overview
05:44 Example of identity resolution gone wrong in India
15:06 Discussion on data anonymization and re-identification risks
29:05 Challenges in record linkage and identity resolution
41:29 Exploring solutions and guardrails for data matching systems
54:51 The role of AI in improving data matching accuracy
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