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[…] educational settings. It’s critical for school leaders to understand how existing federal and state student privacy laws, such as the Family Educational Rights and Privacy Act (FERPA) apply to the complexities of machine learning systems to protect student privacy. With these resources, FPF aims to provide much-needed clarity and guidance to educational institutions grappling […]

incorporating generative ai into your schools app vetting checklist

[…] to know about MODPA that set Maryland apart in the state privacy law landscape.  1. Novel Data Minimization Rules Create Potential Tension with Purpose Limitation Rule MODPA’s approach to data minimization—default limitations on the ability to collect personal data—sets Maryland apart in the state privacy landscape. Prior to MODPA, state privacy laws typically restricted […]

[…] WWDC 2023, Apple announced privacy manifests, signatures for SDKs, and required reason APIs. In early 2024, Apple began requiring a privacy manifest for every new or updated app and every third-party Software Development Kit (SDK) in the Apple App Store. The privacy manifest must include four pieces of information: The type of data collected […]

[…] 26, 2010 FPF launches the power of “i” to help advertisers be more transparent with consumers about how their data is used. MAY 26, 2011 FPF launches App Privacy Site and publishes ground-breaking reports on mobile privacy, highlighting the unique challenges and risks associated with location tracking and mobile apps. SEPTEMBER 10, 2013 FPF […]

[…] large platforms such as Apple, Google, and Microsoft have taken significant steps in recent years to limit access to advertising-related data about their users through efforts like App Tracking Transparency (ATT), Intelligent Tracking Prevention (ITP), and an ongoing process to deprecate third party cookies in Google Chrome. Each change has ripple effects throughout the […]

[…] and organizations, respondents were least concerned when interacting with automotive manufacturers (38%), and more concerned when interacting with social media companies (69%), websites (63%), mobile phone and app makers (58%), government and law enforcement (56%), and online and in-person retail stores (53%). 73 Categories of data that most respondents think is collected and shared […]

[…] TH PRIVACY IN IM M ERSIV E TEC H N O LO G IES 8 inform ation ofyoung people is shared w ith otherusers,18third-party gam e and app developers, and advertisers,19instead giving parents and teens the ability to affi rm atively optin to m ore data collection orsharing. Itis particularly im portantto ensure thatdefaultsettings […]

[…] ………. 4 Less Discriminatory Algorithms ……………………………………………………………… ………………………………………………… 6 Future-Proong Transparency: Re-Thinking Public Record Governance for the Age of Big Data ……………………………………………………………… …………………………………………………………………………… 8 Do No Harm Guide: Applying Equity Awareness in Data Privacy Methods ……………………………………….. 10 Experiments with Facial Recognition Technologies in Public Spaces: In Search of an EU Governance Framework ……………………………………………………………… …………………………………………………………….. 12 […]

[…] and organizations, respondents were least concerned when interacting with automotive manufacturers (38%), and more concerned when interacting with social media companies (69%), websites (63%), mobile phone and app makers (58%), government and law enforcement (56%), and online and in-person retail stores (53%). 73 Categories of data that most respondents think is collected and shared […]