AI Emerging Risks Analyst

About the team The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem in close collaboration with our internal and external partners. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity. The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed securely and responsibly across critical sectors. About the role We are looking for an AI emerging risks analyst to help us understand potential harms and misuse of AI at the frontier in a time of rapid, sustained change. From known threat actors misusing new technologies to new threats enabled by new technologies, we seek to scan available signals and use strategic foresight methodologies to enable proactive detection and mitigation of frontier AI risks. In this role, you will help to provide strategic-level perspective on a range of evolving risk areas, helping to produce actionable understanding of frontier AI risks relevant to OpenAI’s platforms, surfaces, and broader business interests. Utilizing mixed quantitative and qualitative methodologies, you will spot early warning signs, pull threads on potentially concerning behavior, and turn weak signals into clear, prioritized risk calls. You will focus on upstream ecosystem scanning, competitive benchmarking, and external narrative/risk sense-making. Your work will help to inform cross-functional partners in the protection and safety stacks to guide mitigations that keep users, brands, and communities safe while allowing productive, creative uses of these tools to thrive. In this role, you will - Map and prioritize emerging risks at the frontier of AI - Build and continuously refine a clear picture of emerging signals and trends that could affect the AI ecosystem through upstream and external scanning. - 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. - Contribute to an evergreen frontier risk register and prioritization framework that surfaces the top issues by severity, prevalence, exposure, and trajectory. - Detect and deep dive into emerging abuse patterns - Create comprehensive approaches to horizon scanning, competitive benchmarking, and external narrative/risk sense-making. - Stay current on abuse trends ranging from state actor misuse to criminal activity, drawing from the work of internal organizational and cross-functional partners. - Connect individual incidents into system-level stories about actors, incentives, product design weaknesses, and cross-product spillover–whenever possible spotting these incidents or even hypothesizing them before they hit our surfaces. - Turn analysis into actionable risk intelligence - Translate findings into clear, ranked risk lists and concrete proposals for mitigations that product, safety, and policy teams can execute on. - Work with Global Affairs and Communications teams to share findings in ways that reinforce OpenAI’s role as a leader in the online safety ecosystem. - Track whether mitigation work is landing: follow key indicators, pressure-test assumptions, and push for course corrections when the data demands it. - Build early warning and measurement capabilities - Help define the core metrics and signals that indicate whether fast-evolving AI environments are safe (e.g., key harm prevalence, severity distributions, escalation rates, brand safety issues). - Work with data science and visualization colleagues to shape monitoring views and dashboards that highlight leading indicators and unusual changes from signals spotted off platform to determine whether these are manifesting in user behavior or abuse patterns. - Pioneer new uses of our own technologies to scale detection and transform workflows. - Provide strategic analysis and future-looking perspectives - Produce concise but comprehensive strategic intelligence estimates that provide full context about a given interest area that includes confidence levels based on observed data to inform judgments and recommendations. - Run scenario analyses that explore how AI harms might evolve over the next 6–24 months (e.g., how scams may fundamentally evolve alongside the proliferation of agentic AI; how state actors may seek to misuse new scientific capabilities of frontier models). - Help design and run tabletop exercises for internal and partner audiences that distill manifest and latent risks at the frontier of AI and identify mitigations. - Benchmark OpenAI’s risk profile and mitigations against external incidents and other platforms, highlighting gaps, strengths, and opportunities. - Shape safety readiness for new products

Map and prioritize emerging risks at the frontier of AI; Build and continuously refine a clear picture of emerging signals and trends through upstream and external scanning; Design and maintain harm taxonomies forecasting how AI harms may manifest over 0–24 months and beyond; Contribute to an evergreen frontier risk register and prioritization framework; Detect and deep dive into emerging abuse patterns; Create comprehensive approaches to horizon scanning, competitive benchmarking, and external narrative/risk sense-making; Stay current on abuse trends from state actors to criminal activity; Connect incidents into system-level stories about actors, incentives, product design weaknesses, and cross‑product spillover; Turn analysis into actionable risk intelligence with clear, ranked risk lists and concrete mitigations for product, safety, and policy teams; Collaborate with Global Affairs and Communications to share findings; Track mitigation effectiveness and push for course corrections when needed; Build early warning and measurement capabilities with core metrics for safe AI environments; Work with data science and visualization teams to shape monitoring dashboards; Pioneer new uses of OpenAI technologies to scale detection and workflows; Provide strategic analysis and future-looking perspectives; Produce concise strategic intelligence estimates with confidence levels; Run scenario analyses for the next 6–24 months; Design and run tabletop exercises to distill manifest and latent frontier risks; Benchmark OpenAI’s risk profile against external incidents; Shape safety readiness for new products.