Youth advocacy group Encode Justice unveils 22 policy recommendations to ensure AI protects the “lives, rights, and livelihoods” of young people by 2030
from AI advancement. Thrilled to see the leadership from Encode Justice for a policy platform authored by 19-22-year-olds! That's why I signed AI 2030, the world's first youth-authored AI platform. https://ai2030.encodejustice.org/ @encodejustice : Global leaders who have signed AI 2030 today: 🇮🇪 Former President Mary Robinson 🇨🇦 Yoshua Bengio, “ the Godfather of AI” 🇺🇸 @mmitchell_ai, Chief AI Ethics Scientist at @huggingface 🇺🇸 @DAcemogluMIT, Professor of Economics @MIT 🇹🇼 @audreyt, First Digital Minister of Taiwan (1/7) @humanetech_ : A major milestone for AI governance! @EncodeJustice has released AI 2030 - an intergenerational call for global #AI policies spanning trust, rights, economic impact, and international cooperation. Go to https://ai2030.encodejustice.org/ to add your name to their platform! Sneha Revanur / @sneharevanur : We just made this happen — and now we need you to help us leave an impact. Add your name today at https://ai2030.encodejustice.org/.
Context & Ripple Effects
Encode Justice’s AI 2030 platform turns youth concerns into a defined set of 22 policy recommendations, authored by people aged 19–22 and backed by signatories including Mary Robinson, Yoshua Bengio, Margaret Mitchell, Daron Acemoglu, and Audrey Tang.
It arrives after major AI companies and child-safety organizations joined a separate child-safety initiative, extending the governance discussion from protective measures for children toward a youth-authored policy agenda spanning rights and livelihoods.
First-order effects
- Encode Justice gains a concrete advocacy instrument for organizing public support and presenting youth-centered AI priorities to policymakers and AI developers.
- The prominent signatories give the youth-authored platform added visibility and legitimacy, but the recommendations themselves do not create binding obligations.
Second-order effects
- Companies and policymakers already addressing child safety face pressure to explain whether their safeguards also account for young people’s rights and economic prospects, not only immediate safety risks.
- The platform gives youth advocates a shared reference point for evaluating voluntary AI-governance commitments, alongside the White House’s earlier government AI-safeguard planning.
Third-order effects
- If youth-authored frameworks gain institutional uptake, AI governance could increasingly treat young people as a distinct affected constituency rather than folding them into general-purpose safety policy.
- The broader contest will be whether platforms such as AI 2030 translate advocacy into operational requirements; prior debate around calls to halt AI training showed that high-profile AI-policy appeals can face contested support and implementation paths.
The trend: AI governance is broadening from abstract model-risk debates toward stakeholder-specific frameworks that seek to shape how AI affects particular populations.