Disable autoplay and infinite scroll or risk massive fines, EU tells Meta

· Source: AI - Ars Technica · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy, Software Development & Engineering · Depth: Novice, short

Summary

The European Union is intensifying pressure on Meta, with the European Commission preliminarily finding that Facebook and Instagram's "addictive design" features like autoplay, infinite scroll, and personalized recommendations pose risks to users, including minors. Despite Meta's defense citing teen protection measures, the EC deemed these insufficient, recommending disabling key features by default and adapting recommender systems. Failure to comply with the Digital Services Act could result in fines up to 6 percent of global annual turnover. Concurrently, Meta faces a US lawsuit from 29 states seeking up to \$1.4 trillion in penalties for addicting children, threatening its \$1.5 trillion market capitalization and significant AI investments, including \$125 billion to \$145 billion for AI data centers this year. The recent Muse AI model, which mines public Instagram feeds for content and can create deepfakes, also raises privacy concerns due to its default opt-in for most users.

Key takeaway

For executives and product managers developing digital platforms, the escalating regulatory pressure from the EU and US on "addictive design" features, coupled with massive potential fines, necessitates a proactive re-evaluation of default user experience. You should prioritize user safety and privacy by design, especially concerning minors and data practices for AI models like Muse, to mitigate significant financial and reputational risks under acts like the Digital Services Act.

Key insights

Regulatory bodies are pressuring Meta over "addictive design" and data practices, risking massive fines and impacting AI ambitions.

Principles

Method

The EC recommends disabling "autoplay" and "infinite scroll" by default, implementing "screen time breaks," and adapting recommender systems to be less engagement-oriented.

In practice

Topics

Best for: Product Manager, Investor, CTO, Executive, Legal Professional, Policy Maker

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI - Ars Technica.