AI Adoption Specialist

Facilitates AI adoption by supporting the users of AI-enabled solutions.

Tasks

The concrete work activities defined for this role in the DCWF v5.1 spreadsheet. Core tasks are required for the role; additional tasks are associated but not mandatory.

• T1000B additional Ensure that AI design and development activities are properly documented and updated.
• T466A additional Consult with customers and key stakeholders to evaluate functional requirements for AI and data applications.
• T479A additional Correlate training and learning to business or mission requirements.
• T538 additional Develop new or identify existing awareness and training materials that are appropriate for the intended audiences.
• T5380 additional Gather feedback on customer satisfaction and internal service performance to foster continual improvement.
• T5430 additional Present technical information to technical and non-technical audiences.
• T5843 additional Analyze national security/DoD mission priorities and gaps suitable for the application of AI solutions.
• T5861 additional Coordinate with change management employees to plan, foster, and track change.
• T5880 additional Engage and collaborate with allies and partners to advance shared strategic AI objectives.
• T5891 additional Identify viable AI projects based on organizational needs.
• T5892 additional Identify ways to lead and motivate people to adopt AI solutions through cultural, organizational, or other types of change.
• T5896 additional Maintain current knowledge of advancements in DoD AI Ethical Principles and Responsible AI.
• T5909 additional Promote awareness of AI limitations and benefits.
• T5918 additional Support an AI adoption strategy that aligns with the organization's vision, mission, and goals.
• T5921 additional Test how users interact with AI solutions.
• T5925 additional Use knowledge of business processes to create or recommend AI solutions.

Knowledge, Skills, and Abilities

KSA statements define what a person filling this role knows or can do. "Knowledge" is what they must know, "Skill" is what they can perform, and "Ability" is a durable capacity they bring to the work.

• A3022 ability core Ability to communicate complex information, concepts, or ideas in a confident and well-organized manner through verbal, written, and/or visual means.
• A7001 ability core Ability to inspire and lead a culture of innovation.
• A918 ability core Ability to prepare and deliver education and awareness briefings to ensure that systems, networks, and data users are aware of and adhere to systems security policies and procedures.
• K6311 knowledge core Knowledge of machine learning theory and principles.
• K7003 knowledge core Knowledge of AI security risks, threats, and vulnerabilities and potential risk mitigation solutions.
• K7008 knowledge core Knowledge of change models and frameworks.
• K7020 knowledge core Knowledge of DoD AI Ethical Principles (e.g., responsible, equitable, traceable, reliable, and governable).
• K7021 knowledge core Knowledge of emerging trends and future use cases of AI.
• K7024 knowledge core Knowledge of how AI is developed and operated.
• K7027 knowledge core Knowledge of how humans interact with and/or are impacted by AI solutions within the DoD context.
• K7031 knowledge core Knowledge of how to structure and display data.
• K7032 knowledge core Knowledge of how to use data to tell a story.
• K7033 knowledge core Knowledge of human factor engineering.
• K7037 knowledge core Knowledge of machine learning operations (MLOps) processes and best practices.
• K7045 knowledge core Knowledge of the AI lifecycle.
• K7046 knowledge core Knowledge of the basic requirements for the successful delivery of AI solutions.
• K7047 knowledge core Knowledge of the basics of customer experience, customer design, psychology of customer decision-making, and human-computer interaction.
• K7048 knowledge core Knowledge of the benefits and limitations of AI capabilities.
• K7051 knowledge core Knowledge of the possible impacts of machine learning blind spots and edge cases.
• K7053 knowledge core Knowledge of the user experience (e.g., decisionmaking, user design, and human-computer interaction) as it relates to AI systems.
• S6915A skill core Skill in communicating with all levels of the organization, including senior/mid-level executives, and operational-level personnel (e.g., interpersonal skills, approachability, effective listening skills, appropriate use of style and language for the audience).
• S7058 skill core Skill in communicating AI and/or machine learning solutions to a wide range of audiences.
• S7065 skill core Skill in explaining AI concepts and terminology.
• S7072 skill core Skill in leading AI adoption efforts.
• K0942 knowledge additional Knowledge of the organization's core business/mission processes.
• K6380 knowledge additional Knowledge of principles and processes for conducting training and education needs assessment.
• K7013 knowledge additional Knowledge of customer mission priorities and capabilities, as related to the integration and adoption of AI solutions.
• K7036 knowledge additional Knowledge of laws, regulations, and policies related to AI, data security/privacy, and use of publicly procured data for government.
• K7041 knowledge additional Knowledge of remedies against unintended bias in AI solutions.

Other roles in this element