Data about your body is up for sale. Who's buying it?

Science Friday11mMay 7, 2026

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AI-Generated Summary

This episode of Science Friday explores the growing commercialization and surveillance of biometric data, highlighting how personal information like heart rate, gait, facial features, and smartphone usage patterns are being collected at an unprecedented scale. Anne Toomey McKenna, an attorney specializing in privacy and biometric surveillance, explains that biometrics extend far beyond facial recognition to include subtle, identifiable traits from everyday devices—from smart cars to grocery store cameras. She reveals that this data is not only used for targeted advertising but also sold to insurance companies, financial institutions, and law enforcement agencies through unregulated data markets. The rise of AI enables hyper-specific micro-targeting, making individuals highly identifiable even in large datasets, undermining the myth of anonymity. McKenna emphasizes that the idea of having 'nothing to hide' is dangerously misleading, especially in light of shifting laws and the potential for discrimination in employment, insurance, and healthcare based on collected data. The episode calls for urgent federal data privacy regulation, noting the U.S. lags behind other nations in protecting citizens from surveillance capitalism.

Key Takeaways
1

Biometric data includes far more than faces and fingerprints—it encompasses gait, heart rate, phone usage patterns, and more.

2

AI-powered data analytics enable real-time, hyper-specific targeting of individuals, making anonymity nearly impossible.

3

Data brokers sell biometric information to insurers, employers, and law enforcement, often without consent.

4

The U.S. lacks comprehensive federal data privacy laws, leaving citizens vulnerable to surveillance capitalism.

5

Even if you have 'nothing to hide,' your data can be used to deny you insurance, jobs, or loans based on inferred traits.

…and 3 more takeaways available in PodZeus

Chapters
0:00
2 min

The Pervasive Presence of Biometric Surveillance

Your car is loaded with sensors. It's collecting your weight. You sit on the seat. You put your hands on the steering wheel. Modern cars can collect your heart rate from the steering wheel.

Highlight
2:00
3 min

Beyond Facial Recognition: The Expanding Scope of Biometrics

Anne Toomey McKenna defines biometrics broadly, emphasizing that it includes health metrics, walking patterns, and device interactions—not just facial or fingerprint data.

5:00
4 min

The Rise of Surveillance Capitalism and Data Markets

Your data is money and it's worth a lot of money because it tells us so much.

Highlight
9:00
3 min

The Threat to Privacy and Civil Rights

The criminal piece of it is a real significant issue. But what it's not appreciating is... did you have two donuts and you're having two donuts every morning? Does that mean your insurance premiums should be higher?

Highlight
High-Impact Quotes
The criminal piece of it is a real significant issue. But what it's not appreciating is... did you have two donuts and you're having two donuts every morning? Does that mean your insurance premiums should be higher?
Anne Toomey McKenna9:38
Viral: 90.0
Your car is loaded with sensors. It's collecting your weight. You sit on the seat. You put your hands on the steering wheel. Modern cars can collect your heart rate from the steering wheel.
Anne Toomey McKenna2:34
Viral: 85.0
Your data is money and it's worth a lot of money because it tells us so much.
Anne Toomey McKenna5:21
Viral: 80.0
Speakers

Host

Flora Lichtman

Guest

Anne Toomey McKenna
Topics Discussed
biometric surveillance95%surveillance capitalism90%law enforcement access to private data85%data privacy regulation85%commercial use of personal data80%ai-powered data analytics80%insurance and employment discrimination75%smart devices and embedded sensors70%
People & Brands

Anne Toomey McKenna

person

15xPositive

Flora Lichtman

person

8xNeutral

face bank

other

3xNeutral

Fourth Amendment

other

2xPositive

Penn State Institute for Computational and Data Sciences

organization

1xNeutral

Annette Heist

person

1xNeutral

Shoshana Zuboff

person

1xPositive

Dobbs

other

1xNegative

ring camera

product

1xNeutral

plate reader

product

1xNeutral

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