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AI Ethics Lead - 2026 Vision Initiative

InnovateForward Labs
San Francisco
Estimated Salary
USD 180.000 – USD 220.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join our pioneering 2026 Vision Initiative to shape the ethical future of artificial intelligence. As a key architect of responsible AI frameworks, you'll define industry standards for algorithmic fairness, transparency, and accountability in next-generation systems. This role sits at the intersection of cutting-edge technology and human-centered design, ensuring our innovations empower humanity while mitigating risks.

We're seeking a visionary leader to establish governance protocols for autonomous systems, conduct bias audits across machine learning pipelines, and collaborate with policymakers to shape AI legislation. You'll champion ethical design principles in products serving healthcare, climate tech, and education sectors – domains where 2026's breakthroughs will have transformative societal impact.

Responsibilities

  • Develop and implement AI ethics frameworks for 2026's flagship autonomous systems
  • Lead cross-functional bias audits across ML pipelines and product deployments
  • Establish governance protocols for algorithmic decision-making in regulated industries
  • Collaborate with policymakers to shape national AI ethics legislation
  • Train engineering teams on responsible AI development practices
  • Conduct scenario planning for emerging ethical challenges in generative AI
  • Publish thought leadership on AI ethics in peer-reviewed journals

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years AI governance experience
  • Proven track record implementing ethical AI frameworks in production environments
  • Expertise in bias mitigation techniques for machine learning systems
  • Deep understanding of global AI regulations (EU AI Act, NIST frameworks)
  • Experience collaborating with policymakers and regulatory bodies
  • Strong background in technical ethics and value-sensitive design
  • Published research on algorithmic accountability or fairness metrics
  • Ability to translate complex ethical concepts for technical and non-technical stakeholders

Required Skills

AI Ethics Machine Learning Governance Algorithmic Auditing Policy Development Ethical AI Frameworks Bias Mitigation Technical Ethics Regulatory Compliance

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