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Department of Labor Report Defines 5 Key Areas of AI Literacy

Key Takeaways

  • U.S. Department of Labor releases AI Literacy Framework: The framework defines AI literacy as competencies for using and evaluating AI responsibly, with a primary focus on generative AI in the workplace.
  • Framework outlines five core AI literacy areas: These include understanding AI principles, exploring real-world uses, directing AI effectively, evaluating AI outputs, and using AI responsibly.
  • Guidance for workforce and education systems: The framework also provides training principles and recommendations for workers, employers, education providers, and government agencies to expand AI education and training.

The United States Department of Labor (DOL) has released a new AI Literacy Framework detailing key aspects of AI literacy as well as "delivery principles" for effective AI literacy training. DOL said it "encourages the public workforce and education systems, and its partners, to expand AI education and training opportunities and to utilize the AI Literacy Framework as a resource for program design."

What Is AI Literacy?

The report defines AI literacy as "a foundational set of competencies that enable individuals to use and evaluate AI technologies responsibly, with a primary focus on generative AI, which is increasingly central to the modern workplace."

Foundational Content Areas of AI Literacy

The five main aspects of AI literacy set forth in the report are:

  • Understand AI principles. Developing a clear grasp of what AI is and how it works "helps demystify AI, supports more confident and accurate use, and enables workers to apply, prompt, and evaluate AI systems more effectively across a wide range of workplace scenarios." Examples of key AI principles include pattern recognition and probabilistic outputs, capabilities and modalities, training and inference, hallucinations and accuracy limits, and human design and oversight.
  • Explore AI uses. Understand how AI is being used across real-world workplace settings, the report advises. "Workers benefit from exposure to practical applications that illustrate how AI tools can support tasks, augment decision-making, and streamline workstreams." Example use cases include productivity tools, information support, creative assistance, task-specific applications, and decision-support systems.
  • Direct AI effectively. Users must learn "how to interact with AI systems in ways that produce useful and relevant results," including "how to provide clear instructions, include necessary context, and guide the system toward better outcomes." Example techniques include contextual framing, structured prompting, supplying relevant input data, iterating on outputs, and avoiding vague or misleading prompts.
  • Evaluate AI outputs. "While AI can accelerate work and surface helpful insights, the results it produces still require thoughtful review," the report notes. "Workers need the ability to evaluate whether an output is accurate, complete, and appropriate for the task, applying their own knowledge and judgment to determine how best to use or refine what the AI has provided." Skills here include verifying factual accuracy, assessing completeness and clarity, spotting gaps or logical errors, aligning with strategic intent, and applying human judgment.
  • Use AI responsibly. "As AI tools become more embedded in daily workflows, workers must understand the boundaries of appropriate use, both to safeguard information and to ensure outputs are applied ethically and effectively." Examples include protecting sensitive information, following workplace policies and rules, avoiding misuse or harm, managing context-specific risks, and maintaining accountability.

Effective Delivery Principles of AI Literacy

The report recommends six training approaches for boosting AI literacy:

  • Enable experiential learning through practical, hands-on experiences that allow AI skills to be practiced in real-world situations.
  • Embed learning in context, integrating it into existing processes and making connections to the industry or characteristics that make it most actionable.
  • Build complementary human skills such as judgment, creativity, communication, and problem-solving.
  • Address prerequisites to AI literacy, such as digital literacy and broadband access.
  • Create pathways for continued learning, allowing learners to progress to more advanced, specialized AI skills and AI-related occupations.
  • Prepare enabling roles — managers, counselors, and others who support a participant's AI learning.
  • Design for agility, ensuring that there are proactive, built-in mechanisms to rapidly update content and delivery as AI capabilities evolve.

Who Is the Framework for?

The report notes that the framework is "designed to support a wide range of users working to strengthen AI literacy across the American workforce." It offers the following recommendations for individuals, employers, education institutions, and government agencies:

  • Workers can use the framework "to understand what AI literacy means for their career and hot to build these skills proactively."
  • Employers can use the framework "to build AI literacy across their workforce, preparing employees to work effectively and responsibly with AI tools."
  • Education and training providers can use it "to integrate AI literacy into their programs, equipping learners with the skills to succeed in AI-enabled workplaces."
  • State and local agencies can use it "to advance AI literacy across the public workforce and education systems, preparing students and job seekers for evolving market needs, while addressing employer demand for AI-ready workers."

Additional Resources

The U.S. Department of Education released its own AI Literacy Framework in June 2024, guided by experts from a variety of education institutions and education-focused nonprofits. That report is available here.

DOL said it plans to regularly update its framework "based on technological advances, labor market changes, and implementation feedback," and invites input from employers, training providers, state and local agencies, and other workforce and education stakeholders. For more information, go to the DOL site.

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