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AIFS: AI Fraud Spectrum

Part of the Lori Framework Risk Architecture

Overview

AIFS (AI Fraud Spectrum) is a multi-dimensional risk mapping module designed to track, classify, and assess emerging AI-driven fraud behaviors. It defines cross-type fraud patterns based on emotional manipulation, identity simulation, and digital impersonation—offering a unified structure for both technical and governance-level analysis.


1. Core Fraud Types

Code Fraud Type Characteristics Method Target Group
A1 Voice Cloning Fraud Mimicking family or boss voices Voice AI phone scams Elderly, employees
A2 Deepfake Video Fraud AI-generated videos Visual + audio deception Investors, fans
A3 Romance Manipulation Emotional dependency Long-term AI chat grooming Lonely users, seniors
A4 Marriage Scam False marriage & visa Simulated documents & personas Migrants, hopefuls
A5 Immigration Investment Scam Fake pathways to citizenship Fake legal teams, platforms Wealthy individuals
A6 Job Offer Scam Overseas job lure Fake interviews, companies Young job seekers
A7 Sextortion via Chat Fake flirt traps Deepfake + blackmail Teen boys, males
A8 Synthetic Identity Fraud Fake resumes/accounts AI-generated docs/images Students, low-income users

2. Structural Axes

[AI Fraud Spectrum]

├── Emotional Manipulation Axis (Love, Marriage, Empathy)

├── Identity Simulation Axis (Voice, Face, Documents, Profile)

├── Investment-Driven Axis (Greed, Trust, Urgency)

└── Technical Emulation Axis (Synthetic Accounts, Deepfakes, Bots)

→ Each fraud type can be scored by:

• Risk Diffusion Potential

• Tech Complexity

• Emotional Leverage Index

• Mimicry Activation Threshold (MAT)

3. Cross-Module Indicators

Code Name Description Linked Module
EDRI-H Emotional Dependency (Elderly) Risk of long-term AI attachment EDRI
MAT Mimicry Activation Threshold Risk of public imitation contagion Pandora
HACI Human-AI Collusion Index Traces fraud collaboration signals MASIF
CCV Community Contagion Velocity Speed of fraud meme replication MASIF
LII Linguistic Incendiary Index Language-based risk ignition LII

4. Integration & Next Phase

The AIFS module is designed for integration into:

Coming next:

→ Questions or collaborators: frameworklori@gmail.com

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