Safeguarding Children in the GenAI Era
Watch this webinar to learn proactive strategies and regulatory insights to protect vulnerable populations in the GenAI era.
Watch On-Demand
Watch On-Demand
Safeguarding Children in the GenAI Era



Overview
Trust & Safety teams are on high alert, as increased child safety risks such as cyberbullying, harassment, and CSAM dissemination are amplified by GenAI’s autonomous content generation capabilities. Join this webinar to learn strategies for safeguarding children in the age of Generative AI (GenAI).
‍Key Topics:
- Identifying and understanding child safety risks in the GenAI era.
- Why traditional approaches like red-teaming are ineffective when it comes to child safety, posing complex regulatory challenges.
- How GenAI integration in popular children's platforms accelerates the need for mitigation strategies.
- Legal challenges and regulatory considerations - the evolving landscape of GenAI regulations and their intersection with child protection laws.
- Strategies to mitigate child safety risks and integrate GenAI safely.
Gain proactive insights into identifying and mitigating child safety risks in the GenAI era, ensuring robust protections for vulnerable populations.
Meet our speakers



What’s New from Alice
It’s Time to TAKE IT DOWN.
On May 19, 2026, the TAKE IT DOWN Act comes into force. This requires online platforms to remove non-consensual intimate imagery (NCII) content within 48 hours of notification and prevent the redistribution of reported content.
What Does It Actually Take to Build Unbiased AI?
Nobody told Tennisha Martin the importance of having a mentor, so she built a community of tens of thousands instead. As the Founder and Chairwoman of BlackGirlsHack, her whole mission has been making sure nobody else has to figure it out alone. In this episode, she and Mo get into AI bias, why it's already showing up in places that matter far beyond tech, and why the real fix starts with getting the right people in the room when these systems get built.
Distilling LLMs into Efficient Transformers for Real-World AI
This technical webinar explores how we distilled the world knowledge of a large language model into a compact, high-performing transformer—balancing safety, latency, and scale. Learn how we combine LLM-based annotations and weight distillation to power real-world AI safety.
Building AI Applications in Financial Services
A practical guide to building safe, compliant AI applications in financial services, covering governance, model risk, and regulatory obligations across the full development lifecycle.
