My Account Log in

1 option

Robot-Proof : When Machines Have All the Answers, Build Better People.

O'Reilly Online Learning: Academic/Public Library Edition Available online

View online
Format:
Book
Author/Creator:
Ming, Vivienne.
Language:
English
Subjects (All):
Artificial intelligence--Psychological aspects.
Artificial intelligence.
Physical Description:
1 online resource (285 pages)
Edition:
1st ed.
Place of Publication:
Newark : John Wiley & Sons, Incorporated, 2026.
Summary:
A compelling story to expand the human's perspective on the new, unprecedented world of AI In Robot-Proof: When Machines Have All the Answers, Build Better People , Dr.Vivienne Ming, "a force in AI unlike any we have seen before" (Mark Minevich, Forbes ), helps readers grasp the ugly and the amazing of how individuals, companies, and societies.
Contents:
Cover
Title Page
Copyright Page
Contents
Introduction: No Skill Is Robot-Proof
Chapter 1 The Future of Work
Who's Shorting Human Capital?
It's Not Technology Versus Culture
We Don't Have to Accept the Divide
Chapter 2 The Coolest Job in the World
My Superpowers
East Coast Swing
Chapter 3 What Is Intelligence?
Defining AI
Artificial General Luck
X-Risk
Chapter 4 One GPU, One Vote
AI Needs a Constitution
An Unseen Jury
The House Always Wins
The Black Box on the Witness Stand
Ethics Theater
Fiduciary AI
Chapter 5 Nothing Is Inevitable
A Chasm Grows in Mountain View
Learning to Love the Chasm
Chapter 6 This Is Not the Industrial Revolution
Lazy Myth 1: Automation Created New Jobs for All
Freedom Creative
Lazy Myth 2: Automation Freed Workers to Become Creatives
If You Build It, They Will Come
Lazt Myth 3: Reskilling Is the Answer
Stinjbot
Lazy Myth 4: ATMs Created Better Jobs for Tellers
Robo-Recruiter
Chapter 7 Deprofessionalization
Automating Diabetes
JiffyLube Colonoscopy
JiffyLube Economy
Creative Complementarity
Chapter 8 The Modern Spontaneous Creative
Creating Creatives
The Fanatic
Building Endogenous Motivation
Chapter 9 Do Cyborgs Dream III-Posed Sheep?
SexyFace
Not Just Sexy Faces
Chapter 10 What Makes Us Robot-Proof?
Meta-Learning
If Kids Were Bonds . . .
Chapter 11 How to Robot-Proof Your Kids
Institute the "Failure Résumé"
Engineer Serendipity
Become a "Meta-Learning" Detective
Appoint Your Child as "Chief AI Critic"
The Ultimate Sandbox: Dungeons &amp
Dragons &amp
Find Their "Why": The Fanatic's Origin Story
Build a "Superpower" Team
Chapter 12 How to Robot-Proof Yourself
Adopt "Productive Friction" as a Core Practice.
Master the "Grad Student Model" of AI Collaboration
Actively Curate Your "Information Diet" to Combat Bias Amplification
Build a Purpose by Becoming a "Fanatic" in Your Niche
Design Your "Compensatory Strategies"
Master Meta-Uncertainty: Learn to Map the Edge of the Known World
Chapter 13 Innovating Innovation
The Myth of Serendipity
The Matchmaker and the Matrix
Chapter 14 How to Robot-Proof a Community
Engineer Growth into Every Role
Hire for Teams, Not Superheroes
Embrace Productive Failure
Lead Like a Cyborg Professor
Install an AI Matchmaker
Architect Career Pathways AI
Install a "Cognitive Sparring Partner" in the C-Suite
The Cyborg Collective
Chapter 15 The Human Trust
The Three Crises of the Current Model
Fiduciary AI and the Data Trust
Mad Science for the Public Good
Case Study 1: Ending Postpartum Depression
Case Study 2: The AI Matchmaker
Case Study 3: Pluralism in Practice
Case Study 4: The Human Tapestry Project
An Invitation to Build
Conclusion: Choose Your Future
References
Acknowledgments
About the Author
Index
EULA.
Notes:
Description based on publisher supplied metadata and other sources.
Other Format:
Print version: Ming, Vivienne Robot-Proof
ISBN:
9781394397815
OCLC:
1579223862
Publisher Number:
CIPO000366938

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account