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Governance Management and Risk Analytics Category National Occupational Standard Framework for Data & Artificial Intelligence SKILLS Skill in establishing policies for responsible artificial intelligence (AI) development. Skill in developing AI ethics tools & translate theoretical principles into practice. Skill in conducting ethics reviews of AI projects. Skill in assessing potential ethical risks and ensuring compliance. Skill in educating and raising awareness of AI practices & ethics. Skill in communicating effectively to explain and raise awareness of data & AI ethics issues, and to listen to, convene, advise, and mediate between various parts of the organization. Skill in supporting effectively other organizational members in implementing AI ethics. Skill in working with consequential or complex risks. Skill in applying different risk methodologies in proportion to the risk. Skill in building consensus between services or independent stakeholders. Skill in collaborating with cross-functional and interdisciplinary teams. Skill in working with business stakeholders. Skill in ethical impact assessments, algorithmic bias, & societal implications of AI. Skill in defining ethics benchmarks for privacy and fairness. AI-Eth-S01 AI-Eth-S02 AI-Eth-S03 AI-Eth-S04 AI-Eth-S05 AI-Eth-S06 AI-Eth-S07 AI-Eth-S08 AI-Eth-S09 AI-Eth-S10 AI-Eth-S11 AI-Eth-S12 AI-Eth-S13 AI-Eth-S14 KNOWLEDGE Knowledge of policy, law, regulatory processes, & industry standards in artificial intelligence (AI) or related field. Knowledge of ethical principles and theories and their applications to AI. Knowledge of how technology & AI products and services are built. Knowledge of social sciences & AI’s impact on society. Knowledge of ethical principles and best practices related to AI, including fairness, transparency, accountability, and human rights. Knowledge of relevant AI ethics frameworks and regulations. Knowledge of different values & ethics norms among different cultures, and adapt to local values and ethics norms. Knowledge of ethics guidelines for the research and development of artificial intelligence, such as Asilomar AI Principles. AI-Eth-K01 AI-Eth-K02 AI-Eth-K03 AI-Eth-K04 AI-Eth-K05 AI-Eth-K06 AI-Eth-K07 AI-Eth-K08 National Occupational Standard Framework for Data & Artificial Intelligence - A bachelor's degree in computer science, computer systems engineering or a related discipline or completion of a college program in computer science is usually required. - A master's or doctoral degree in artificial intelligence (AI), data science or a related field is usually preferred. EDUCATION EDUCATION - Experience in artificial intelligence and ethics is usually preferred. EXPERIENCE EXPERIENCE ABILITIES ABILITIES Ability to share expertise in writing and verbally with other members of the team. Ability to communicate & express technical viewpoints to senior stakeholders with succinctness and clarity. Ability to analyze complex ethical issues and propose solutions. Ability to work independently and manage multiple projects & priorities simultaneously. Ability to communicate complex AI ethics concepts clearly to stakeholders. Ability to engage with stakeholders at all levels. Ability to think critically and analytically. Ability to trace through complex AI technologies & data processes to determine the cause of harm. AI-Eth-A01 AI-Eth-A02 AI-Eth-A03 AI-Eth-A04 AI-Eth-A05 AI-Eth-A06 AI-Eth-A07 AI-Eth-A08 National Occupational Standard Framework for Data & Artificial Intelligence