AI Literacy for Work (Beginner)
Understand AI capabilities, limitations, responsible use, and evaluation.
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Chapters
- Beginner
AI Capabilities, Limitations, and Task Fit
Choose suitable AI assistance by examining task type, consequence, reversibility, evidence, and human expertise.
- Beginner
How Generative AI Produces Outputs
Understand patterns, context, variability, and why plausible output still requires verification.
- Beginner
Prompting and Evaluation
Write task-specific instructions and evaluate outputs against explicit criteria.
- Beginner
Examples, Iteration, and Conversation
Use examples, decomposition, clarification, revision, and conversation context deliberately.
- Beginner
Accuracy, Sources, and Claim Verification
Trace sources, recalculate numbers, and separate verified evidence from unresolved claims.
- Beginner
AI-Assisted Writing, Summarizing, and Communication
Draft and edit from approved material while preserving meaning, accessibility, and human authorship.
- Beginner
AI-Assisted Research, Analysis, and Decision Support
Use source packets and bounded comparisons without treating model output as authoritative evidence.
- Beginner
Privacy, Confidentiality, and Secure Inputs
Classify and minimize information before using an approved tool for an approved purpose.
- Beginner
Bias, Fairness, Accessibility, and Inclusion
Review representation, proxies, unequal effects, stereotypes, and accessibility barriers.
- Beginner
Copyright, Attribution, and Transparency
Apply permission, attribution, disclosure, provenance, and human-authorship controls.
- Beginner
Copilots, Automation, Agents, and Human Control
Place least permission, checkpoints, logs, stopping, and recovery around tool actions.
- Beginner
Responsible AI Workflows and Governance
Connect ownership, policy, testing, review, approval, monitoring, incidents, and exceptions.
- Beginner
Workplace AI Capstone and Adoption Plan
Deliver an evidence-based use-case brief, test results, controls, and an accountable adoption recommendation.