AI Scams
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AI Scams

Introduction

Artificial intelligence has made scams more sophisticated and harder to detect than ever before. While scammers have always targeted older adults, AI tools now allow them to create highly convincing impersonations, personalized messages, and urgent scenarios that can fool even cautious individuals.
This page will help you understand the new AI-powered scam techniques and, more importantly, give you practical strategies to protect yourself and your loved ones. The good news is that while the technology has changed, the fundamental principles of staying safe remain the same: pause, verify, and trust your instincts when something feels wrong.

What You Need to Know

AI has given scammers powerful new tools, and older adults are frequently targeted. Understanding these new capabilities is our best defense.
Voice cloning is perhaps the most alarming development. With just a few seconds of audio—grabbed from a voicemail, video, or social media—AI can clone someone's voice convincingly. Scammers use this to impersonate family members in distress, calling to say they've been in an accident or arrested and need money immediately. These calls can be terrifyingly convincing.
AI-generated phishing has become more sophisticated. Scam emails and texts used to be easy to spot through poor grammar and generic language. Now AI can generate polished, personalized messages that are much harder to identify as fraudulent.
Deepfake video is still relatively rare in personal scams but is improving rapidly. Video calls from someone who appears to be a trusted person but isn't are no longer science fiction.
AI-powered chatbots can maintain convincing conversations, making romance scams and customer service impersonation more effective.
The core scam tactics remain the same: urgency, fear, authority, and appeals to emotion. But the packaging is much more convincing.
 

What You Need to Do

Establish a family code word. Agree on a secret word or phrase with close family members to use to verify identity in an emergency call. If someone claiming to be your grandchild can't provide the code word, it's not them.
Always verify through a separate channel. If you receive an alarming call, text, or email, hang up and contact the person or organization directly using a number you know to be legitimate—not one provided in the suspicious message.
Be deeply skeptical of urgency. Scammers create panic because panic prevents clear thinking. Any legitimate emergency can wait five minutes for us to verify what's happening.
Don't trust caller ID. AI and other technologies make it easy to "spoof" phone numbers so calls appear to come from trusted sources. Caller ID is not verification.
Limit our voice and video online. The less audio and video of us that exists publicly, the harder we are to clone. Consider privacy settings on social media.
Talk about scams openly. Shame keeps people silent after being scammed, which helps scammers. Discuss these risks with friends and family. If you or someone you know is targeted, reporting it helps everyone.
When in doubt, pause. No legitimate organization will be angry if you take time to verify. Anyone pressuring us to act immediately is likely a scammer.

Articles on AI Scams

Videos on AI Scams

How Online Scammers Use AI To Steal Your Money | Incognito Mode | WIRED
Online shopping scams were the second most-reported type of fraud that resulted in $12.5 billion (yes, billion with a ‘b’) in losses in 2024 alone. These scams infiltrate homes by playing on emotions and using new generative AI techniques to make the unbelievable, believable. Today, WIRED's Andrew Couts takes a deep dive into online shopping scams.

#BlackFriday #Scams #OnlineShopping

00:00 - WIRED’s deep dive into online shopping scams
00:22 - Fake websites: Deceived. Nobbled. Swindled.
02:03 - Fake merchandise: Who needs a cat bed that big anyways?
02:52 - Social media scams: “WIRED100” for 100% off subscribing to our channel
04:32 - Shipping scams: Just leave it on read
05:00 - Charity scams: Puppy dog eyes? Not buying it…
06:04 - Brushing scams: Don’t scan the code. Don’t scan the code. Don’t scan the code.
07:07 - What you can do: 7 tips to protect your money

*Credits:*
Director: Efrat Kashai
Director of Photography: Mar Alfonso
Editor: Jeremy Ray Smolik
Host: Andrew Couts
Line Producer: Jamie Rasmussen
Associate Producer: Paul Gulyas
Production Manager: Peter Brunette
Production Coordinator: Rhyan Lark
Camera Operator: Jeremy Harris
Gaffer: Salif Soumahoro
Sound Mixer: Sean Paulsen
Production Assistant: Shanti Cuizon-Burden
Post Production Supervisor: Christian Olguin
Post Production Coordinator: Stella Shortino
Supervising Editor: Eduardo Araujo
Additional Editor: Sam DiVito
Assistant Editor: Fynn Lithgow

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How Online Scammers Use AI To Steal Your Money | Incognito Mode | WIRED
The Psychology Behind Email Scams Targeting Older Adults
Email scams are becoming more sophisticated every year — and older adults are now the number-one target. In this report, Peter Jaynes and David Langford break down the psychology behind these attacks, why criminals focus on seniors, and how to spot red flags before it’s too late.
You’ll learn how scammers mimic trusted institutions, exploit emotional triggers, and use urgency to get quick clicks. You’ll also learn exactly what to do immediately if you ever click on a suspicious link by mistake — including the steps recommended by federal cybersecurity experts.
This episode pulls from verified research and federal data, including:
• Harvard University’s Behavioral Science Labs
• University of Florida’s Studies on Aging and Decision Making
• FTC’s 2025 Consumer Sentinel Data Report
• FBI IC3’s Internet Crime Report
• Peer-reviewed neuroscience journals (PNAS Nexus)
• Cybersecurity advisories from CISA
What you’ll learn in this video:
– Why scammers specifically target older adults
– How attention and pattern recognition change with age
– The psychological traps built into scam emails
– Real examples of red flags to watch for
– What to do if you accidentally click on something dangerous
Stay informed. Stay alert. Your awareness is your best defense.
Safety Disclaimer:
Here at The Senior Health Network, your safety is our priority. Always consult with a qualified professional before taking action on financial, cybersecurity, or personal safety decisions. This video is for educational purposes only.

Citations
HARVARD UNIVERSITY — Behavioral Science / Aging Cognition
1. PNAS (Proceedings of the National Academy of Sciences)
• Mather, M., & Carstensen, L. L. “Aging and attentional biases: The positivity effect in older adults.” PNAS, December 2005.
(This is the foundational research Harvard uses in multiple Behavioral Science Labs papers regarding age-related attention shifts.)
2. Harvard Kennedy School — Behavioral Insights Group
• “Why Older Adults Are More Vulnerable to Scams: Cognitive Load & Decision Biases.” Harvard Behavioral Science Lab Summary, 2023.
(Official overview used in policy discussions; widely cited in senior-fraud prevention research.)

UNIVERSITY OF FLORIDA — Studies on Aging & Decision-Making
3. University of Florida Institute on Aging
• Wood, S., et al. “Neural basis of impaired decision making in older adults during risky choices.” Journal of Neuroscience, August 2015.
UF’s Aging & Cognition program uses this study in their scam-susceptibility curriculum.
4. UF College of Public Health & Health Professions
• “Age Differences in Detecting Deception and Fraud Cues.”
Published in Gerontology & Geriatric Medicine, 2021.

FTC — 2025 Consumer Sentinel Network (CSN) Data Report
5. Federal Trade Commission
• Consumer Sentinel Network Data Book 2025.
Published January 2025, FTC.gov
(Email scams and phishing are top complaint categories; includes senior-specific loss statistics.)

FBI — Internet Crime Complaint Center (IC3)
6. FBI IC3 Annual Report 2024 (released March 2025)
• Internet Crime Report 2024.
FBI Internet Crime Complaint Center (IC3).
(Contains detailed breakdown of elder fraud, phishing, business-email-compromise, time-of-day attack patterns, and total losses.)

NEUROSCIENCE JOURNAL — Attention & Pattern Recognition
7. PNAS Nexus — Cognitive Aging Research
• Zhao, L., et al. “Age-related changes in attention shifting and pattern recognition.” PNAS Nexus, April 2023.

CISA — Cybersecurity & Infrastructure Security Agency
8. CISA Phishing & Social Engineering Bulletin
• CISA Insights: “Mitigating Email-Based and Social Engineering Attacks.”
CISA.gov, updated 2024–2025.
9. CISA — Healthcare Sector Alert
• “Phishing Trends Targeting Vulnerable Populations, Including Older Adults.”
Issued October 2024.
The Psychology Behind Email Scams Targeting Older Adults

Infographic from NotebookLM

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Video - AI Scams - How to Stay Safe from NotebookLM

 

Audio Deep Dive on AI and Scams from NotebookLM