论文标题
成为负责任的AI从业者是什么意思：角色和技能的本体论
What does it mean to be a responsible AI practitioner: An ontology of roles and skills
论文作者
论文摘要
随着对各种应用领域的AI系统的规范需求的日益增长，该行业已经出现了一套新的职业。所谓的负责AI从业人员或AI伦理学家通常负责解释和操作AI系统的道德和安全设计的最佳实践。然而，由于这些角色的新生性质，未来的雇主和有抱负的AI伦理学家尚不清楚这些角色发挥哪些特定功能，以及为这些职能服务所需的技能。没有这些清楚的情况，我们将无法以有意义的学习目标来培训未来的AI伦理学家。 在这项工作中，我们检查了负责的AI从业人员在行业中所做的工作以及他们在工作中采用的技能。我们提出了一个现有角色的本体，以及服务于每个角色的技能和能力。我们通过检查两年期（2020-2022）的职位来创建此本体，并对目前在该行业中担任过这样的角色的14个人进行专家访谈。我们的本体论为希望建立负责任的AI团队的业务领导者做出贡献，并为教育工作者提供一系列AI道德课程可以优先考虑的能力。
With the growing need to regulate AI systems across a wide variety of application domains, a new set of occupations has emerged in the industry. The so-called responsible AI practitioners or AI ethicists are generally tasked with interpreting and operationalizing best practices for ethical and safe design of AI systems. Due to the nascent nature of these roles, however, it is unclear to future employers and aspiring AI ethicists what specific function these roles serve and what skills are necessary to serve the functions. Without clarity on these, we cannot train future AI ethicists with meaningful learning objectives. In this work, we examine what responsible AI practitioners do in the industry and what skills they employ on the job. We propose an ontology of existing roles alongside skills and competencies that serve each role. We created this ontology by examining the job postings for such roles over a two-year period (2020-2022) and conducting expert interviews with fourteen individuals who currently hold such a role in the industry. Our ontology contributes to business leaders looking to build responsible AI teams and provides educators with a set of competencies that an AI ethics curriculum can prioritize.
