AI Literacy and Responsible Use

AI Literacy and Responsible Use

Artificial intelligence is already embedded in how work is performed, decisions are shaped, and information is produced. This course provides a practical and grounded introduction to AI, focused on responsible, effective, and appropriate workplace use.

Rather than teaching tools or technical skills, this course builds AI literacy. Participants gain the ability to realize where AI fits, where it does not, how it influences judgment, and how to use it ethically and safely. The emphasis is on critical thinking, accountability, and confidence in decision-making when AI is involved.

WHO SHOULD ATTEND:

• Leaders and managers involved in decisions or oversight affected by AI
• HR, policy, and compliance roles responsible for rules, ethics, and risk
• Knowledge workers who analyze information or produce AI-influenced work
• Communications and content professionals concerned with accuracy and bias
• Teams new to AI use seeking a responsible, shared understanding

PARTICIPANTS WILL LEARN TO:

By the end of this course, participants will be able to:

• Explain artificial intelligence in practical terms without relying on technical or theoretical language
• Recognize where AI is already influencing work processes, decisions, and outputs
• Distinguish between appropriate and inappropriate workplace uses of AI
• Explore key risks, limitations, and sources of bias in AI-generated outputs
• Apply responsible-use principles aligned with organizational and ethical expectations
• Critically evaluate AI outputs rather than accepting them at face value
• Contribute to the development of clear, realistic AI use guidelines within their teams or organizations
• Explore the impact that AI has on the organization and its people

COURSE OUTLINE

AI in Context: Why Literacy Matters

• Why AI adoption is accelerating now
• The difference between AI as a tool and AI as a decision-maker
• Common myths, inflated expectations, and misplaced fears
• AI literacy as a professional competency, not a technical skill

How AI Works, Without the Jargon

• What AI is and is not
• Core concepts: machine learning, generative AI, automation, and prediction
• Where AI excels and where it reliably fails
• Identify probabilistic outputs and false confidence

How AI Is Changing the Nature of Work

• AI’s role in analysis, communication, documentation, and planning
• Shifts in responsibility and accountability
• Human-in-the-loop models and decision ownership
• Risks of over-reliance and automation bias

Responsible and Ethical Use in the Workplace

• Principles of responsible AI use
• Privacy, confidentiality, and intellectual property considerations
• Bias, fairness, and transparency
• Ethical boundaries and professional judgment

Risks, Limitations, and When Not to Use AI

• Hallucinations and inaccurate outputs
• Data quality, sourcing, and hidden assumptions
• Security and information exposure risks
• Clear red flags and misuse scenarios

Applying AI Thoughtfully: Use Cases and Guardrails

• Appropriate workplace use cases
• Establishing practical guardrails for safe use
• Aligning AI usage with policies, values, and risk tolerance
• Balancing experimentation with control

Asking Better Questions and Evaluating AI Outputs

• How prompting shapes results
• Improving relevance, clarity, and reliability
• Verifying and validating AI-generated content
• Knowing when to rely on AI and when to override it

METHODOLOGY

This course is offered in both 1- and 2-day formats (virtual, or in-person). While the content in both delivery durations remains virtually the same, the amount of hands-on exercises, practice, and application varies.