Overview
CPRA Law + Tech Series: Understanding Data, Decisionmaking, and Design
Session 2: Sensitive Data: Health Conditions, Demographics, and Inferences
Co-Hosted by: California Lawyers Association Privacy Law Section and the Future of Privacy Forum
About the Series: What do privacy lawyers need to know about the technologies and data practices at the heart of emerging legislation? New state privacy laws, including the California Privacy Rights Act (CPRA), will introduce a host of new obligations for businesses. Privacy lawyers charged with operationalizing these requirements will need to understand the technologies that these laws address.
In this Winter 2022 series, the California Lawyers Association Privacy Law Section and FPF will host informational sessions on technological basics for privacy lawyers. Each session will provide a brief summary of new requirements under the CPRA, the Virginia Consumer Data Protection Act (VCDPA), and the Colorado Privacy Act (CPA), accompanied by an exploration of the key technologies that are addressed in these laws, including digital advertising, global opt outs, automated decisionmaking, and dark patterns.
About Session 2: Join us on Friday, February 25th, from 12:00-1:15 PM Pacific Time, for an exploration of what makes certain kinds of consumer data “sensitive” – and how to identify such data and think about new regulations that limit its collection and use.
This session will begin with a brief presentation on the definitions of “sensitive data” under existing legal regimes (CPRA, VCDPA, and CPA), with a specific discussion of the legal parameters of non-HIPAA and non-CMIA consumer health data.
As an example of sensitive data, we will explore real-world examples of how consumer health information is collected and used in different commercial settings, from a technical and business perspective, including:
- Consumer services that directly collect and use high-risk or clearly sensitive data that is not covered by HIPAA or other sectoral privacy laws (for example, direct-to-consumer blood sample analysis);
- Mobile app data involving fitness, wellness, or wearable device information (such as steps and heart rate) that may be considered sensitive or not, depending on the context and uses;
- Information that may appear sensitive on its face, but may not be used for the purposes of inferring sensitive information (such as the URL of a website, name of an app, or search engine query in the context of providing basic functionality or services); as well as the opposite: information that may appear non-sensitive on its face (such as a person’s shopping habits) that may nonetheless, over time or in combination with other information, lead to sensitive inferences.
In this session, we’ll be joined by guest experts:
- Robert D. Tookoian, Of Counsel, Fennemore Craig, PC
- Kate Black, Partner, Hintze Law
- Charlyn L. Ho, Partner, Perkins Coie
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