Top AI Ethics Jobs in Chicago, IL

Advise state agencies on AI strategy and roadmaps, prioritize use cases, assess readiness and data maturity, define responsible AI governance, facilitate stakeholder workshops, and support early-stage implementation and adoption planning.

Lead UX design for AI-driven, mission-critical mobile public safety applications focusing on voice and multimodal interactions. Define VUI grammars, dialog flows, and persona guidelines; collaborate with product, engineering, and AI researchers; conduct voice-focused user research and usability testing; translate AI capabilities into intuitive, transparent experiences; mentor designers and help establish human-AI design patterns and ethical guidelines.

Evaluate AI outputs, perform audit-based reviews, identify failure modes and trends, apply and refine guidelines, communicate findings, participate in calibrations and stakeholder syncs, and help improve evaluation frameworks for human-in-the-loop AI.

Lead design and implementation of AI and data governance frameworks, privacy guardrails, metadata standards, and compliance with GDPR/HIPAA/CCPA/NIST AI RMF. Monitor and audit models for bias, explainability, and transparency; partner with engineers, stewards, and leaders to embed ethical decision-making, set KPIs, run audits, and produce dashboards and reports to drive governance adoption.

Evaluate and improve AI-generated outputs for accuracy, clarity, quality, and business alignment. Develop and refine prompts, annotate data, conduct rubric-based assessments, fact-check content, and provide actionable feedback on model performance. Create and edit technical documentation, strategy reports, market analyses, business cases, executive summaries, and professional communications. The role requires strong analytical reasoning, writing, research, quality assurance, and attention to detail.

Manages enterprise AI content repositories, asset lifecycles, skills registries, documentation, playbooks, and knowledge resources. Establishes processes for AI content creation, review, maintenance, reuse, and retirement while operationalizing governance and compliance standards. Tracks quality, ownership, reporting, inventory, and audit readiness, and coordinates communications and change management to drive adoption across business units and workforce teams.

Lead AiLO portfolio integrating AI into K-12 systems: set strategy, design and draft high-stakes deliverables, manage complex projects, mentor teams, cultivate partnerships, and represent ILO externally to scale responsible AI adoption in education.

Advise the Department of Veterans Affairs on responsible AI strategy, governance, risk mitigation, lifecycle management, vendor evaluation, and operational adoption across healthcare use cases. Develop policies, playbooks, briefings, white papers, and decision memos for technical and executive audiences. Assess issues including bias, explainability, privacy, model drift, and patient safety while supporting federal AI compliance and enterprise transformation initiatives.

Evaluates AI-generated responses for accuracy, completeness, safety, and policy alignment during client implementations. Translates client use cases and risk tolerances into rubrics, prompts, test coverage, prompt banks, and golden sets. Reviews outputs, identifies hallucinations and other risks, tracks regression and drift, documents findings, and produces quality reports. Partners with clients, product, and engineering teams to validate fixes and support reliable release and governance decisions.

Supports responsible AI governance by developing frameworks, conducting fairness and risk assessments, monitoring regulatory requirements, maintaining compliance documentation, educating stakeholders, and improving AI oversight practices. Works across technical, legal, compliance, risk, and business teams to promote ethical, transparent, accountable, and trustworthy AI systems.