Standards Analyst - Youth AI Safety Institute

Written by the T&S Network from Common Sense Media's posting.

Develops and maintains the AI safety standards that Common Sense Media's Youth AI Safety Institute uses to assess youth-facing AI products and platforms. The role turns input from experts, practitioners, evaluators and industry working groups into published, documented standards, working under the Head of AI & Digital Assessments.

What you'd do

• Write and upkeep the Institute's safety standards for AI aimed at young users, covering youth-facing products and platforms.
• Take notes and ask questions during expert convenings, working group sessions and comment processes.
• Synthesize input, including conflicting views, into standards positions and record points of consensus, disagreement and rationale.
• Work with evaluators to convert standards into rubrics and protocols that can be tested and repeated.
• Flag gaps between written standards and what can be operationalized, and work with the Head to resolve them.
• Keep public documentation of process, decisions, input gathered and version history current.
• Manage timelines and deliverables across several standards tracks and brief the Head on progress and escalations.

What it asks for

• Bachelor's degree in a relevant field required.
• Four to six years in policy, standards work, regulatory affairs, research or a nearby field.
• Demonstrated contribution to formal standards, guidelines, frameworks or policy documents in a multi-stakeholder setting.
• Grounding in child or adolescent development, youth mental health, or a related clinical or developmental field.
• Exceptional written communication and project management skills.
• A graduate degree in developmental or clinical psychology, public health or similar is preferred.
• Experience in AI safety, technology policy or emerging technology governance (preferred).

Worth knowing

• Full-time, exempt role.
• Subject to a criminal background check as a condition of offer.

Terms in this role

Red teaming.

Testing a system, often an AI model, by deliberately trying to make it fail or misbehave, so problems are found and fixed first.

Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on Common Sense Medianorth_east before you apply. If we got something wrong, report this listing.