EFF to Grindr: This Pride Month, Put Safety and Privacy Over Profits

2026-06-26 · Source: Deeplinks · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy · Depth: Fundamental Awareness, medium

Summary

The Electronic Frontier Foundation (EFF) urges Grindr to prioritize LGBTQ+ user safety and privacy by making privacy the default across its platform, specifically during Pride month. Grindr, the world's most popular gay dating app, has a history of mishandling sensitive user data, including sharing HIV status and precise location, leading to reprimands and fines. The EFF demands two immediate changes: defaulting users out of behavioral advertising and requiring opt-in consent for AI training on personal data. Behavioral advertising, which Grindr currently defaults to opt-out, exposes user data like Mobile Advertising Identifiers (MAIDs) to numerous third-party trackers and data brokers, as evidenced by 20 tracking domains contacted in 15 minutes. Grindr's new AI features, such as a "wingman chatbot" and profile insights, currently train on user data like profile photos and display names by default, creating new privacy risks.

Key takeaway

For policy makers and legal professionals drafting data privacy regulations, you should mandate opt-in consent as the default for sensitive personal data use, particularly when involving behavioral advertising or AI model training. Relying on opt-out mechanisms places an undue burden on users and demonstrably fails to protect vulnerable communities from significant risks like discrimination or harassment. Your policies must ensure platforms prioritize user safety by design, not as an afterthought.

Key insights

Default privacy settings are critical for protecting sensitive user data, particularly for LGBTQ+ individuals, against risks from behavioral advertising and AI training.

Principles

• Privacy by default is crucial for sensitive user data.
• Opt-in consent is required for personal data use.
• Behavioral advertising inherently risks data exposure.

In practice

• Disable mobile advertising identifiers (MAIDs) on devices.
• Use tools like TrackerControl to monitor app data sharing.
• Advocate for opt-in consent for AI model training.

Topics

• LGBTQ+ Data Privacy
• Behavioral Advertising
• AI Model Training
• Opt-in Consent
• Mobile Advertising Identifiers
• Data Brokerage

Best for: CTO, VP of Engineering/Data, Director of AI/ML, AI Ethicist, Policy Maker, Legal Professional

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Editorial summary, takeaway, and curation by AIssential. Original article published by Deeplinks.