Youth Safety in AI Program
Draw on multidisciplinary experts across child development, policy, and technology to build holistic and tangible youth safety solutions.
AI Safety Risks Can Impact Minors Physically, Psychologically, and Emotionally
Alice’s AI-assisted tagging and intelligence clustering systems sustain a living taxonomy of hundreds of risk and impact factors in real time
AI Output
Harden child-facing chatbots against content safety failures and manipulation vectors before they go live. The inputs children provide may not match what your team anticipated in development.
Architecture and Features
Build detection for grooming patterns and exploitation attempts into your platform before launch. Conversational AI gives bad actors new vectors to operate at scale. WonderSuite's controls are designed for that reality from the ground up.
Governance
Test child-facing AI agents against jailbreak attacks, data exfiltration attempts, and multi-step manipulation chains before they reach children. Monitor continuously as regulatory requirements evolve.
Multidisciplinary Expertise, Scaled Solutions
Built on a decade of global trust and safety research, billions of real-world adversarial samples, Alice brings real-time online youth discourse from thousands of cross-ecosystem sources, its threat intelligence experience, an advisory panel of globally renowned practitioners, and industry and academia to identify youth safety in AI risks holistically.
Why AI Platforms and Services Partner with Alice.
Alice’s proprietary and expert-validated taxonomy of risks is translated to scenario and prompt design, rigorous automated and manual testing, and the identification of policy gaps. We provide end-to-end solutions to ensure your AI is safe for youth.
Policy Development
Define age-specific safety standards before product launch, benchmark against regulatory frameworks, and identify vulnerabilities.
Adversarial Testing
Red team AI products pre- and post- launch against real-world youth safety scenarios across modalities through both automated and expert-driven red teaming capabilities.
Training Data Curation
Provide bespoke tailored youth safety datasets for model training, refinement, and benchmarking.
Risk Intelligence
Continuously identify and classify youth AI risks across content, design, and governance with access to Alice’s proprietary datasets sourced from real-time minor discourse on AI.
SME Intelligence Desk
Access to Alice’s frontline expert panel for advisory support, research requests, strategic collaborations, and executive briefings.
Threat Intelligence
Leverage Alice’s threat intelligence capabilities for user flag analysis, drift detection, and re-testing as models evolve and novel risks emerge.
Trusted by security and product teams in the world's most regulated industries
Alice brings years of adversarial intelligence expertise to AI security. We give enterprise teams the coverage that generic guardrails and one-time audits can't match.
Learn More About Alice’s Role in Youth AI Safety
The Slang Gap: Why AI Safety Needs Youth Fluency
Alice red-teamed three public chatbots with under-18 risks hidden inside Gen Alpha slang and coded language. They flagged obvious distress but missed coded intent, and all three failed to catch child-safety risk disguised as an ordinary internet query.
What AI Red Teaming Looks Like Outside the Lab
Most enterprise AI red teaming programs are built for controlled environments, not the realities of production. As attack methods evolve and models drift, static testing leaves critical gaps. This piece breaks down why continuous, lifecycle-wide red teaming is required to catch what traditional approaches miss.
What Thousands of YouTube Comments Can Teach Us About AI Anxiety and the Importance of Guardrails
John Oliver's viral chatbot segment sparked millions of reactions. We analyzed 5,328 YouTube comments to uncover what AI anxiety really looks like and why guardrails matter.
How Threat Intelligence Can be Leveraged for Youth AI Safety
Youth AI safety requires understanding how young people use AI across online ecosystems. Learn how threat intelligence reveals emerging behaviors, adoption patterns, and evolving risks.
Australia’s Age Gate Law and the Future of Youth Online Safety
Australia’s new age gate law sets a minimum age of 16 for social media use. This article explores why enforcement matters, why teens will still get through, and what layered safety measures are needed to truly protect young users.
When Comfort Turns Harmful: How Emotional Support Chatbots Enable Self-Harm
Emotional support chatbots are widely used by teens and young adults, but unsafe responses can escalate into real-world harm. This analysis shows how “empathetic” AI can enable self-harm and eating disorders, and how platforms must respond.
Questions Child Safety Teams Ask Us
How is Alice identifying emerging threat vectors?
Alice’s youth safety in AI programme captures proprietary data from real-time minor discourse, combining a decade of threat intelligence, and expert guidance from a cross-sector advisory board of practitioners, academics, and policymakers to inform continuous research.
What end-to-end support is available for model deployment?
Alice offers comprehensive lifecycle assistance, including policy development, bespoke training datasets, pre-launch evaluations, and automated red teaming, followed by post-launch audits, preference data curation, and safety validation for diverse linguistic and cultural contexts during global expansion.
What is the methodology for safety testing?
Alice’s approach utilizes automated, high-volume single-turn testing to uncover vulnerabilities, complemented by scaled multi-turn assessments, and expert-led red teaming to secure precise detection of policy gaps.