Mental models, prompting, verification, personal systems

AI Ethics, Verification, and Everyday Security

Responsible AI use is a daily practice, not a policy slogan. This module covers privacy, consent, bias, hallucination, misinformation, confidential data, deepfakes, citation checking, and the difference between low-risk convenience tasks and high-risk decisions.

Deep dive summary

What this module actually teaches.

Passage 1Responsible AI use is a daily practice, not a policy slogan. This module covers privacy, consent, bias, hallucination, misinformation, confidential data, deepfakes, citation checking, and the difference between low-risk convenience tasks and high-risk decisions.

Passage 2Learners develop verification routines for factual claims, summaries, numbers, legal or medical content, and professional communications. The module also covers safe handling of passwords, secrets, personal information, client data, and company documents.

Passage 3Students leave with an everyday AI safety checklist. The goal is confident use: taking advantage of AI while knowing when to slow down, verify, escalate, or avoid the tool entirely.

Learning operating system

Module prerequisites, concepts, outcomes, and artifacts

Prerequisites

  • No technical prerequisites

Key concepts

  • verification
  • privacy
  • confidential data
  • bias
  • deepfakes
  • citation checking
  • risk levels

Target audience

  • Any learner who uses AI tools in personal, academic, or professional contexts.

Outcomes

  • Apply verification routines to AI-generated claims
  • Protect confidential and personal information when using AI tools
  • Classify tasks by risk and choose appropriate safeguards

Artifacts

  • everyday AI safety checklist
  • verification workflow
  • sensitive-data decision guide

Code example

Real patterns, ready to copy into your editor.

A code reference card that frames this module's concepts in real syntax. Copy any example to study it or adapt it directly in your own editor.

Copy-ready snippets
curriculum/fd-ai-ethics-verification-security.tsts
1type ModuleBrief = {2  track: string;3  difficulty: string;4  keyConcepts: string[];5  reviewGate: 'human-review-required';6};7 8export const moduleBrief: ModuleBrief = {9  track: 'Foundations',10  difficulty: 'Intermediate',11  keyConcepts: [12    'verification',13    'privacy',14    'confidential data',15    'bias',16    'deepfakes',17  ],18  reviewGate: 'human-review-required',19};