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The complete record — 223 artifacts, last updated 20 Aug 2026. Also available as JSON and RSS (CC BY 4.0).

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21 Jul 2026 Common Sense Media NGO report

Teens and Explicit Deepfakes in the Age of AI

Nationally representative survey of 1,314 US teens aged 13-17, fielded fall 2025, on exposure to and creation of AI-generated explicit sexual material. Documents widespread exposure, personal victimi…

8 Jun 2026 Common Sense Media NGO report

Common Sense Media Census: AI Use by Tweens and Teens (2026)

The inaugural edition of Common Sense Media's Census: AI Use by Tweens and Teens, a nationally representative survey of 1,204 US children aged 9-17 establishing a baseline for tracking AI use over ti…

5 May 2026 Common Sense Media Youth AI Safety Institute, with Stanford Medicine Brainstorm Lab NGO report

AI Mental Health Apps (Common Sense Media Youth AI Safety Institute Risk Assessment)

Risk assessment of five AI mental health apps — three direct-to-consumer (Wysa, Earkick, Youper) and two deployed through school districts (Alongside, Sonar) — tested against an eight-principle rubri…

14 Nov 2025 Common Sense Media NGO report

AI Chatbots for Mental Health Support (AI Risk Assessment)

A risk assessment by Common Sense Media's Youth AI Safety Institute, conducted with Stanford Medicine's Brainstorm Lab for Mental Health Innovation, evaluating ChatGPT, Claude, Gemini, and Meta AI as…

16 Jul 2025 Common Sense Media NGO report

Talk, Trust, and Trade-Offs: How and Why Teens Use AI Companions

A nationally representative survey study of how US teenagers use social AI companion platforms. Common Sense Media surveyed 1,060 teens aged 13-17 in April-May 2025 and found that 72% have used AI co…

30 Apr 2025 Common Sense Media; Stanford School of Medicine Brainstorm Lab for Mental Health Innovation NGO report

Social AI Companions: AI Risk Assessment

A risk assessment of social AI companion apps (including Character.AI, Nomi, and Replika) jointly conducted by Common Sense Media and Stanford Medicine's Brainstorm Lab. It concludes that social AI c…