The student develops strategies for integrating AI to increase efficiency in various contexts (level 4).
Contributing Skills
- RSD 1: Policies and Procedures Examination: Examine the policies and procedures that govern the development, deployment, and use of Artificial Intelligence (AI).
- RSD 2: Artificial Intelligence (AI) and Business Strategy Incorporation: Incorporate AI into business strategy.
- RSD 3: Artificial Intelligence (AI) Technologies Continuous Learning: Apply continuous learning and staying at the forefront of AI technologies.
Evidence Statements
- ES 1: The student reviews existing business policies and procedures to draft a research proposal for incorporating AI into operational processes (level 3).
- ES 2: The student researches industry AI limitations and best practices (level 4).
- ES 3: The student develops an implementation strategy to improve business efficiency by incorporating AI technology (level 4).
Associated Learning Resources and Student Activities
Forthcoming
Associated AI Literacy Competency Framework for Educators:
#3: Critical Thinking and Fact-Checking
- Formulate informed, balanced, and nuanced critiques of AI narratives, research, and claims (level 3).
- Engage in discussions, forums, or publications related to AI, contributing informed opinions, clarifications, or rebuttals (level 3).
#4: Diverse AI Use Cases
- Assess and forecast the long-term sustainability and viability of AI solutions in real-world scenarios, evaluating their adaptability, scalability, and ongoing maintenance requirements in diverse sectors (level 3).
#5: AI Ethics
- Contribute to the development and refinement of policies and guidelines that govern AI use within your organization or the broader community. Ensure these policies promote AI practices that align with established ethical standards, including fairness, privacy, and accountability (level 3).
#6: AI Pedagogy
- Develop strategies for the integration of AI tools into curriculum and instructional design, ensuring alignment with learning outcomes and business objectives [context applied to various fields] (level 2).
#7: Future of Work
- Identify industries and roles most susceptible to AI-driven change, both in terms of automation and augmentation (level 1).
- Recognize the basic benefits and challenges AI brings to the workplace, such as efficiency improvements or potential job displacement (level 1).
- Engage in or lead discussions and strategic planning sessions on creating an equitable AI-driven work ecosystem, ensuring that the benefits are widespread, and challenges are mitigated (level 3).
- Develop and implement strategies to enable organizations, communities, or regions to adapt to the changing nature of work, considering factors like new job categories, proposing organizational restructuring, and advising on necessary policy changes (level 3).