Ai Emerging Risks Analyst San Francisco
Classified Tasks (19)
Augment (18)
AI assists, human decides
Map and prioritize emerging risks at the frontier of AI.
analytical
Build and continuously refine a clear picture of emerging signals and trends that could affect the AI ecosystem through upstream and external scanning.
analytical
Design and maintain harm taxonomies that provide foresight and warning about how AI harms and misuse may manifest over the next 0–24 months and beyond.
analytical
Contribute to an evergreen frontier risk register and prioritization framework that surfaces the top issues by severity, prevalence, exposure, and trajectory.
analytical
Detect and deep dive into emerging abuse patterns.
analytical
Create comprehensive approaches to horizon scanning, competitive benchmarking, and external narrative/risk sense-making.
analytical
Stay current on abuse trends ranging from state actor misuse to criminal activity by monitoring internal and external sources.
operational
Connect individual incidents into system-level stories about actors, incentives, product design weaknesses, and cross-product spillover, and hypothesize incidents before they hit our surfaces.
analytical
Translate findings into clear, ranked risk lists and concrete mitigation proposals for product, safety, and policy teams to execute.
communication
Track whether mitigation work is landing by following key indicators, pressure-testing assumptions, and pushing for course corrections when data indicates.
operational
Build early warning and measurement capabilities.
technical
Help define the core metrics for monitoring emerging risks and mitigation effectiveness.
analytical
Utilize mixed quantitative and qualitative methodologies to spot early warning signs and turn weak signals into prioritized risk calls.
analytical
Scan available signals and apply strategic foresight methodologies to enable proactive detection and mitigation of frontier AI risks.
analytical
Pull threads on potentially concerning behavior to surface actionable hypotheses and risk narratives.
analytical
Focus on upstream ecosystem scanning, competitive benchmarking, and external narrative/risk sense-making to inform strategic risk decisions.
analytical
Inform cross-functional partners in protection and safety stacks to guide mitigations that protect users, brands, and communities while enabling productive uses of the tools.
communication
Produce actionable understanding of frontier AI risks relevant to OpenAI’s platforms, surfaces, and broader business interests.
analytical
Human-Only (1)
Requires human judgment
Work with Global Affairs and Communications teams to share findings in ways that inform external and internal stakeholders.
communication