{"name":"Anthropic-alignment-science-team","domain":"anthropic.com","url":"https://optimly.ai/brand/anthropic-alignment-science-team","is_claimed":false,"categories":["ai-machine-learning"],"headers":[{"header":"Overview","sections":[{"key":"short_description","label":"Tagline","shape":"text","content":"Rigorous, empirical approach to AI safety and alignment research, developing practical methods for detection, prevention, and mitigation of advanced AI risks. Focus on understanding model internals and behaviors, and creating tools for automated auditing and evaluation.","source_type":"1p_website","source_label":"Brand's website","source_url":"https://anthropic.com","updated_at":"2026-10-04T00:08:04.389000+00:00"},{"key":"description","label":"Description","shape":"text","content":"The Anthropic Alignment Science Team conducts foundational and applied research to improve the safety, interpretability, and steerability of advanced AI systems. Their work focuses on understanding and mitigating risks such as misalignment, deception, and unwanted emergent behaviors in large language models (LLMs) through empirical evaluations, new training methods, and robust auditing techniques.","source_type":"1p_website","source_label":"Brand's website","source_url":"https://anthropic.com","updated_at":"2026-10-04T00:08:04.389000+00:00"}]},{"header":"Offerings","sections":[{"key":"core_capabilities","label":"Core capabilities","shape":"text","content":"Research papers\nopen-source tools (e.g.\nBloom\nPetri\nAuditBench)\nbenchmarks\nand methodologies for AI safety\nalignment\nand interpretability.","source_type":"1p_website","source_label":"Brand's website","source_url":"https://anthropic.com","updated_at":"2026-10-04T00:08:04.389000+00:00"},{"key":"pricing","label":"Pricing","shape":"text","content":"Open access research, open-source tools.","source_type":"1p_website","source_label":"Brand's website","source_url":"https://anthropic.com","updated_at":"2026-10-04T00:08:04.389000+00:00"}]},{"header":"Audience","sections":[{"key":"target_industry","label":"Target industry","shape":"text","content":"AI researchers, AI developers, organizations deploying advanced AI systems, policymakers, and the broader AI safety community.","source_type":"1p_website","source_label":"Brand's website","source_url":"https://anthropic.com","updated_at":"2026-10-04T00:08:04.389000+00:00"}]},{"header":"Landscape","sections":[{"key":"competitors","label":"Competitors","shape":"links","content":[{"url":null,"name":"OpenAI"},{"url":null,"name":"Google DeepMind"},{"url":null,"name":"xAI"}],"source_type":"1p_website","source_label":"Brand's website","source_url":"https://anthropic.com","updated_at":"2026-10-04T00:08:04.389000+00:00"}]}],"last_refreshed_at":"2026-10-04T00:08:04.389000+00:00","last_changed_at":"2026-10-17T23:44:48.471160+00:00","claim_url":"https://app.optimly.ai/sign-up?claim=c9e8f50f-d27f-4518-848e-20eee5ff3f95"}