AI Fraud Education Center
Learn how to protect yourself, your family, and your organization from AI-powered scams and digital deception.
Advanced Training Curriculum
Deep-dive into the technical, psychological, and legal aspects of AI fraud prevention. Expand your knowledge with college-level coursework designed for professionals, law enforcement, and advanced learners.
Educational Guides
How to Detect Deepfakes
Deepfake detection requires careful observation of visual and audio inconsistencies. While AI-generated media is becoming increasingly sophisticated, telltale signs remain for trained observers.
Visual telltales to watch for:
- Unnatural facial movements: Watch for stiff expressions, robotic head movements, or facial features that don't match emotional context.
- Blinking patterns: Deepfakes often show irregular blinking—either too frequent or completely absent.
- Lighting inconsistencies: Check if shadows fall unnaturally or if lighting on the face doesn't match the environment.
- Edge artifacts: Look closely at hairlines, jaw edges, and where the face meets the background for blurring or distortion.
- Audio sync errors: Pay attention to lip-sync accuracy—deepfakes often show subtle timing delays between speech and mouth movements.
Metadata clues: Check video file properties, upload dates, and source credibility. Authentic media typically has verifiable origins and creation dates.
How Voice Cloning Works
Voice cloning technology uses machine learning models trained on audio samples to synthesize realistic speech. Scammers can now create convincing voice clones from as little as 3-10 seconds of audio—often scraped from social media videos or voicemail greetings.
How scammers bypass traditional trust cues:
- Emotional manipulation: Voice scams typically create urgent, high-stress scenarios ("I've been in an accident," "I need bail money") that override rational thinking.
- Caller ID spoofing: Scammers combine voice cloning with spoofed phone numbers to appear as trusted contacts.
- Background noise injection: Adding sirens, hospital sounds, or crying enhances believability and creates time pressure.
- Targeting vulnerabilities: Elderly family members are primary targets because they're more likely to respond emotionally without verifying details.
Protection strategy: Establish a family "safe word" or code phrase known only to immediate family. If someone calls claiming to be in trouble, ask for the safe word before taking action. Hang up and call the person back on their known number to verify any emergency.
Identifying Scam Texts & Phishing
AI-powered phishing has evolved beyond obvious spelling errors and generic greetings. Modern scam texts use personalized information, grammatically correct language, and psychological manipulation tactics to appear legitimate.
Emotional manipulation patterns to recognize:
- Urgency and fear: "Your account will be suspended in 24 hours," "Unusual activity detected," "Immediate action required."
- Too-good-to-be-true offers: Unexpected refunds, lottery winnings, job offers with minimal qualifications, or investment opportunities with guaranteed returns.
- Authority impersonation: Messages claiming to be from banks, government agencies, or company executives demanding compliance.
- Payment pressure: Requests for immediate payment via gift cards, wire transfers, cryptocurrency, or payment apps.
Red flags in message content: Look for generic greetings ("Dear Customer"), suspicious links with misspelled domains, requests for sensitive information (passwords, Social Security numbers), or threats of legal action for non-compliance.
Best practice: Never click links or download attachments from unexpected messages. Verify sender identity by contacting the organization directly through official channels listed on their website, not through contact information provided in the message.
Impersonation Attacks
Impersonation attacks use AI to create synthetic identities or mimic real people across multiple communication channels. These sophisticated schemes can persist for weeks or months, building trust before executing financial fraud.
Common impersonation tactics and warning signals:
- Government spoofing: Fake IRS agents, Social Security Administration calls, or law enforcement threats. Warning signal: Real agencies send written notices, not threatening phone calls demanding immediate payment.
- Employer impersonation: Fake CEO or executive emails requesting wire transfers, gift card purchases, or sensitive data. Warning signal: Verify requests through secondary channels, especially for financial transactions.
- Romance scams: AI-generated profiles with stolen photos, scripted emotional manipulation, and eventual requests for money. Warning signal: Refusal to video chat, consistent excuses about in-person meetings, and rapid emotional escalation.
- Executive spoofing: Deepfake videos or voice calls from company leadership requesting policy violations or financial actions. Warning signal: Requests that bypass normal approval processes or violate company policy.
Verification protocol: Always verify identity through independent channels. For suspected impersonation of someone you know, contact them using previously established contact methods, not the new or unexpected communication channel. For government or business contacts, look up official phone numbers independently and call directly.
Senior Safety Training
Seniors are disproportionately targeted by AI fraud schemes due to accumulated wealth, trusting nature, and less familiarity with digital scam tactics. Protecting elderly family members requires clear, simple protocols they can follow under stress.
3-Step Phone Safety Rules:
- Hang up immediately if any unexpected call requests money, gift cards, or personal information—no matter who the caller claims to be.
Even if the voice sounds like a grandchild, family member, or trusted authority figure, hang up and verify independently.
- Call back using a known number before taking any action.
Look up the person or organization's number yourself—don't use contact information provided by the caller. Wait a few minutes before calling back to ensure you're not redirected to the scammer.
- Verify with a trusted third party before making financial decisions.
Contact an adult child, trusted friend, or financial advisor before sending money or providing sensitive information, especially for amounts over $500.
Family call-code protocol: Establish a secret word or phrase that only immediate family members know. In any emergency call, ask for the code word. If the caller can't provide it, hang up and verify through other channels. Make the code word memorable but not guessable (avoid pets' names or birthdays).
Emergency response steps: Keep a written list of trusted contacts (family, financial institutions, local police non-emergency line) next to the phone. If you suspect you've been targeted by a scam, report it immediately to local authorities and notify your bank to freeze accounts if financial information was shared.
What Is AI Fraud?
AI fraud refers to criminal schemes that exploit artificial intelligence technologies to deceive victims. Unlike traditional scams, AI-powered fraud can create synthetic media that's nearly indistinguishable from reality, making it exceptionally dangerous.
Common AI fraud types include:
- Deepfakes: Synthetic videos or images that convincingly impersonate real people, often used to fabricate endorsements or spread misinformation.
- Voice Cloning: AI-generated audio that mimics a person's voice with frightening accuracy, frequently used in "emergency" scams targeting families.
- Phishing Bots: Automated systems that craft personalized, grammatically perfect scam messages at scale, bypassing traditional spam filters.
- Impersonation Scams: AI-powered chatbots and synthetic identities that impersonate government officials, employers, or romantic partners to extract money or sensitive information.
The financial and emotional damage from AI fraud is severe. Victims lose an average of $5,000-$50,000 per incident, and many suffer long-term psychological trauma from the violation of trust.
Safety Verification Tools
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Why StopAiFraud Exists
Combat AI-powered financial crime and protect individuals from sophisticated fraud schemes.
Educate the public against real-world threats using interactive tools and research-backed guidance.
Support law enforcement and institutions with centralized fraud intelligence and reporting.
Operate a centralized national reporting network to track and expose emerging scam patterns.
FREE AI Fraud Defense Guide
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Frequently Asked Questions
Q: What is AI fraud?
A: AI fraud refers to scams that use artificial intelligence technologies like deepfakes, voice cloning, and AI-generated text to deceive victims. Common types include deepfake video impersonations, AI-cloned voice calls pretending to be family members in distress, phishing messages crafted by AI, and synthetic identity theft. These scams are increasingly sophisticated and difficult to detect without proper training and tools.
Q: How can I spot a deepfake?
A: Look for visual inconsistencies like unnatural facial movements, mismatched lighting or shadows, strange blinking patterns, and audio that doesn't sync properly with lip movements. Check for artifacts around the edges of faces, unusual skin textures, and inconsistent hair rendering. Use our TruthLens Visual Audit Tool for a comprehensive checklist to evaluate suspicious videos and images.
Q: What should I do if I receive a scam call or message?
A: Don't respond immediately. Hang up and verify the caller's identity through official channels. For suspicious text messages, use our Scam Text Analyzer to check for red flags. For voice calls, try our Voice Scam Risk Tool to assess the threat level. Never send money or share personal information based on unexpected contacts, even if they sound urgent.
Q: Where can I report AI fraud?
A: Report suspected AI fraud directly to StopAiFraud.com through our fraud reporting form. We collect reports to identify emerging scam patterns, warn other potential victims, and share intelligence with law enforcement agencies. Your report helps protect others and builds our national database of AI-powered fraud schemes.
