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Practical AI Track 3 · Safe & Responsible AI
0/75 lessons read
SAFE & RESPONSIBLE AI · LESSON 8

The big picture

Priya met seven AI problems, at work and at home. Side by side, they share one pattern. Your goal: see that pattern before the quiz.

Priyauses AI every dayHidden instructionslimit connections · approvals onCloned voicescall back on a channel you chooseA biased screenerswap test · a human who can overruleUnclear ownershipthree questions · license scanShadow AIpolicy · inventory · ownersOver-trustsource beside it · spot checksKids and AIfamily rules · report fakes
Figure — Seven risks, seven setups. Each setup works even when someone is fooled or tired.
Key points
  • Plan for someone getting fooled. A fooled AI should reach little. A fooled person should meet a second check.
  • Check on a channel you choose. Call a known number. Open the real document. Test on your own data.
  • Put a person where the stakes are. Give them time and the power to say no.
  • Make the safe way the easy way. People take the easiest path.

What Priya learned

  • Prompt injection: hidden text told her assistant to send invoices to a stranger. Sending needed her OK, so she said no.
  • Deepfakes and AI scams: her "manager" called about an urgent, secret payment. She hung up and called his known number.
  • Bias and fairness: a swap test showed a career gap cost ten points. Now a recruiter reads every low-ranked application.
  • Who owns AI output?: legal asked three questions. Who made it? Does it copy anyone? What do the terms say?
  • AI rules at work: staff used unapproved AI tools. The company gave them approved tools, a one-page policy and a list of AI in use.
  • Staying sharp with AI: reviewers stopped looking, and one invoice was paid twice. Now the source sits beside each suggestion.
  • AI with children and families: she and her son made rules: hints, not answers, and no chats at bedtime.

Where to go next

Next: the cheat sheet & pop quiz.