高级人工智能政策与治理负责人（教育行业）- 项目制
Senior AI Policy & Governance Lead (Education Sector) – Project-Based
职位概述
此职位负责面向政府的项目，为学校设计全面的、系统级的人工智能政策和保障框架。工作内容涵盖治理架构、监管一致性、检查逻辑、能力标准和实施支持。需要高级判断力、国际基准分析能力和将复杂的政策和治理原则转化为清晰、可操作的系统级框架的能力。重点是咨询和设计导向，不涉及技术部署职责。
主要职责
- 领导项目所有交付成果的端到端治理和政策架构
- 设计适用于系统级采用的技术相关标准和能力框架
- 制定适用于学校的系统级人工智能政策，包括角色、控制措施、不可协商事项和合规逻辑
- 创建涵盖检查标准、证据要求和评分量表的检查框架
- 产出与国家和国际基准一致的毕业生流利度评估蓝图
- 共同设计支持组件，如检查员培训、学校手册和实施工具包
- 确保针对有决心人群的包容性适应
- 组织结构化的利益相关者研讨会、验证会议和专家咨询
- 为所有输出提供高级审查、质量保证和最终签发支持
- 确保所有框架符合全球标准、监管期望和最佳实践保障模型
候选人背景
- 政策、治理、教育体系、人工智能伦理或新兴技术监管领域的博士或同等高级专业知识
- 在人工智能治理、数字信任、风险框架或教育政策方面有强大的出版物和/或咨询记录
- 有与政府、监管机构或国际组织合作的经验
- 有领导结构化研讨会、多利益相关方参与和高信任度咨询流程的实证经验
- 深入理解系统级政策设计、保障逻辑和基于证据的评估框架
- 能够在需要高级判断力、保密性和战略清晰度的环境中工作
最初发布于喜马拉雅山
查看英文原文
Role Overview
This role leads a government‑facing engagement to design a comprehensive, system‑wide AI policy and assurance framework for schools. The work spans governance architecture, regulatory alignment, inspection logic, competency standards, and implementation enablement. It requires senior judgment, international benchmarking capability, and the ability to translate complex policy and governance principles into clear, actionable system‑level frameworks. The focus is advisory and design‑led, with no technology deployment responsibilities.
Key Responsibilities
- Lead the end‑to‑end governance and policy architecture across all project deliverables
- Design technology‑related standards and competency frameworks for system‑level adoption
- Develop a system‑wide AI policy for schools, including roles, controls, non‑negotiables, and compliance logic
- Create an inspection framework covering inspection criteria, evidence requirements, and scoring rubrics
- Produce a Graduates’ Fluency Assessment blueprint aligned with national and international benchmarks
- Co‑design enablement components such as inspector training, school playbooks, and implementation toolkits
- Ensure inclusion‑focused adaptations for People of Determination
- Facilitate structured stakeholder workshops, validation sessions, and expert consultations
- Provide senior review, quality assurance, and final sign‑off support for all outputs
- Align all frameworks with global standards, regulatory expectations, and best‑practice assurance models
Candidate Profile
- PhD or equivalent senior expertise in policy, governance, education systems, AI ethics, or emerging technology regulation
- Strong publication and/or advisory record in AI governance, digital trust, risk frameworks, or education policy
- Demonstrated experience working with governments, regulators, or international organisations
- Proven ability to lead structured workshops, multi‑stakeholder engagements, and high‑trust advisory processes
- Deep understanding of system‑level policy design, assurance logic, and evidence‑based evaluation frameworks
- Comfortable operating in environments requiring senior judgment, discretion, and strategic clarity
Originally posted on Himalayas