Description
A practical, hands-on guide to navigating deepfake technology and reducing the risks it poses to your business
In Behind the AI Mask: Protecting Your Business From Deepfakes, technologist and founder of viral platform, Myster Giraffe, Carl Bogan, explains the dangers, benefits, and potential of deepfake technology. He walks you through how to stay ahead of the risks that businesses face from maliciously deployed deepfake technology, showing you exactly how the tech has evolved and the practical steps you need to take to detect deepfakes in real time and catch scammers in the act.
You'll find practical strategies that will save your company time and money and protect against long-lasting reputational harms. You'll also discover early detection strategies that stop incidents before they even begin.
Inside the book:
- The future of artificial intelligence and deepfake tech — learn what's coming next in AI innovation
- Techniques for embracing AI technology without running afoul of the pitfalls that come along with it
- Straightforward and accurate explainers of what exactly deepfakes are, how they're used (both legitimately and maliciously), and how they can harm your company
An essential and timely resource for managers, executives, and business leaders, Behind the AI Mask is a must-read for everyone worried about the reputational and financial risks posed by deepfakes and those looking for tangible, practical ways to mitigate those risks.
Table of Contents
Introduction: The Deepfake Dilemma xv
1 The Birth of Myster Giraffe: The Spark That Lit the Fire 1
The VFX Artist Behind the Mask 6
The Super Deepfake Squad 8
The Giraffe Who Knew Too Much 13
Real-Time Deepfakes: The Turning Point 17
Trust Experiments: The Kevin Calls 22
Audience Reactions and Social Media Psychology 23
Cancel Culture’s Impact on Deepfake Comedy 25
The Ethics of Viral Manipulation 28
Lessons from Going Viral 29
What’s Next? 30
2 Very Brief History of Synthetic Media 31
The Analog Era (1870s–1980s): The First Deceptions 31
The Dawn of Digital (1980s–2000s): The Democratization Begins 43
The Deep Learning Revolution (2000s–2017): When Machines Learned to See 48
The Viral Era (2018–2023): When Business Met Deception 52
The Industrial Era (2023–Current): The New Normal 53
Conclusion: The Eternal Return 57
What’s Next? 59
3 The Double-Edged Sword: Illuminating the Duality 61
The Promise of Light 62
Restoring What Was Lost 67
The Ones We Know 69
The Torajan Reminder 70
What They’ll Say with My Voice 71
The Shadow of Deception 72
The Balancing Act 74
Just Because You Can 75
When the Joke Lands Too Well 76
The Power of Saying No 77
Shadow Can’t Exist Without Light 78
What’s Next? 80
4 The Dark Side of Innovation 81
The Trust Bias: Why We Believe What We See and Hear 82
The Perception Hack: How Deepfakes Trick Our Brains 84
The Face Trust Heuristic 84
The Voice Familiarity Effect 84
The Fluency Effect 84
The Emotion Trap 85
The Experiment: How Easily Can We Be Fooled? 85
The Politeness Barrier: Why People Refuse to Question Reality 86
The Wildest Real-Life Failures of Deepfake Detection 87
Joe Says No 87
X Marks the Spot 88
Celebrity Connections 89
Fake Endorsements 89
Deepfake Pornography 90
The Trust Shortcut: Why Deepfakes Work in Social Settings 91
When Curiosity Looks Like a Con 92
The Emotional Cost of Doubt 94
The Role of Big Tech in the Deepfake Crisis 96
Identifying the Boundaries 97
Why Social Media Fuels Deepfakes (and Doesn’t Stop Them) 101
The Policy Problem: The Rules Keep Changing 102
The Path Forward: Can We Outthink Our Own Biases? 104
What’s Next? 104
5 The Rise of Deepfake Crime 107
Trust as a Vulnerability 108
Beyond Corporate Fraud: The Wider Impact 111
A New Kind of Cybercrime 112
Trust Is the New Attack Surface 113
Human Behavior Is the Weak Link 114
The Lasting Victim Impact 116
Government Responses 118
The Evolution of Detection Tools 119
The Evolution of Access: From Experts to Anyone 120
What’s Next? 123
6 Proactive Solutions: Staying Ahead of the Curve 125
Lessons from SawStop: Preventing Disaster Before It Happens 126
Inject, Measure, Verify: The Real-time Deepfake Kill Switch 128
The Power of Simple Safeguards 133
Personal Code Words 133
Slow It Down 135
When the Law Isn’t Enough: Protecting Your Business from Deepfake Liability 137
What’s Next? 140
7 From Theory to Practice: Your 90-Day Implementation Guide 141
The First 30 Days: Foundation Building 141
Week One 142
Week Two 143
Week Three 143
Week Four 143
Days 31–60: System Implementation 144
Week Five 144
Week Six 145
Weeks Seven and Eight 145
Days 61–90: Testing and Refinement 146
Week Nine 146
Week Ten 147
Week Eleven 148
Week Twelve 148
Ongoing: Maintenance and Evolution 149
What’s Next? 151
8 The Future of Deepfakes: Where This Is Headed 153
Generative Media: Uses and Consequences 154
Three-Dimensional Education 155
The Effect on “Real” News 155
Creativity for the Masses 156
Determining the Truth 156
Avatars and Synthetic Celebrities 157
Rewriting History 157
The Future of Reality 158
Quantum Computing Speeds 160
Directing the Impact of Deepfakes 161
The Growth and Adoption Cycle 163
What’s Next? 164
9 CTRL+ALT+FAKE (Conclusion) 167
Acknowledgments 173
About the Author 175
Index 177
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