Lesson 1001 of 2116
AI Resurrection of the Dead: Grieftech's Hard Questions
Companies now offer AI 'continuing relationships' with deceased loved ones. The grief implications are profound and contested. Worth thinking about before you need it.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2grieftech
- 3AI of the dead
- 4consent
Concept cluster
Terms to connect while reading
Section 1
The premise
AI representations of the deceased raise hard questions about consent (the dead can't consent), grief (do they help or hinder?), and authenticity.
What AI does well here
- Think about your own preferences before death (do you consent to AI representation?)
- Discuss with family before grief makes the conversation impossible
- Distinguish memorial uses (preserved messages, family photos) from interactive uses (chatbots, video AI)
- Consult with grief professionals before using interactive grieftech
What AI cannot do
- Substitute AI representations for actual grief work
- Resolve the consent question — the deceased can't update their preferences
- Predict your own future grief responses
Key terms in this lesson
End-of-lesson quiz
Check what stuck
15 questions · Score saves to your progress.
Tutor
Curious about “AI Resurrection of the Dead: Grieftech's Hard Questions”?
Ask anything about this lesson. I’ll answer using just what you’re reading — short, friendly, grounded.
Progress saved locally in this browser. Sign in to sync across devices.
Related lessons
Keep going
Creators · 12 min
AI's Effect on Creative Economies: How Artists Are Adapting
AI is transforming the economics of art, music, writing, and film. Some creators thrive; many lose income. Engaging ethically requires understanding both sides.
Creators · 40 min
Designing AI Consent Flows That Respect Users
Build consent flows that inform without overwhelming users.
Creators · 10 min
AI Attribution Norms: When and How to Disclose AI Involvement in Your Work
Disclosure norms for AI involvement are forming in real time across industries. Erring toward over-disclosure protects credibility; under-disclosure produces avoidable trust failures.