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Fraud Prevention using AI Flashcards | StudBud
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Fraud Prevention using AI
Fraud Prevention using AI
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Flashcards
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Questions
20
Answers
1
What is not a purpose of data cleaning/preprocessing in the context of AI analysis?
To ensure data compatibility
To improve model performance
To slow down the analysis process
To ensure data is accurate and consistent
2
What is NOT a prevalent form of fraud?
Check fraud
Account takeover
New account fraud
Bank fees
3
Models should NOT be validated after it is deployed to production
False
True
4
What ethical considerations should we keep in mind when using AI?
The AI might take over and we would all die
We are putting the fraudsters out of business
The AI might get overworked - #AIrightsmatter
Data privacy
5
What is not a challenge in using AI for fraud detection?
User Interface Design
Training and fine-tuning
Insufficient historical data to build models
Ethical considerations
6
What does AI stand for?
Artificial Intelligence
Advanced Illumination
Artistic Invention
Automated Interaction
7
What is call spoofing?
Falsifying caller ID information
A form of karaoke where participants act out famous phone conversations
A phone fashion trend
A gardening method where you imitate bird calls to attract specific species
8
How is someone else able to gain access to your account and log in?
Social engineering or phishing attacks
Mind-reading password hackers
Teleportation through cyberspace
Look behind you 👀
9
What is one of the emerging technologies in Ai for fraud detection?
Time Series Analysis
Generative AI
Reinforcement Learning
10
What sparked a notable AI lawsuit recently?
Algorithmic discrimination in hiring
Robot dance-offs gone wrong
AI defamation by disgruntled chatbots
Legal battle over AI-patented air guitar
11
What type of AI system uses labelled data to predict future events and detect unusual patterns that might indicate fraud
Labelled Predictor
Future Analysis
Random Event Predictor
Supervised Learning
12
AI powered phishing attack can be hard to identify because
Missing contact info
Suspicious email domain
Personalized emails, imitate sophisticated dialogue
Spelling and grammar errors in the email
13
Machine learning models in fraud detection can adapt to new patterns over time.
True
False
14
What is a common application of AI in fraud detection?
Cooking recipes
Identifying fraudulent transactions
Predicting weather patterns
Diagnosing medical conditions
15
What are signs of phone compromise?
Slow performance, unusual battery drain, overheating, high data usage
Unexplained alien emojis
Frequent calls from tech-savvy pigeons
Enhanced signal strength and virtual confetti showers
16
What is the most popular scam where fraudsters use psychology to hook the user into "online love"?
Online dating site
"Nigerian Prince" partnership offers
Pyramid scheme with intergalactic endorsements
Romance Scam
17
In AI-based fraud detection, what does the term "anomaly detection" refer to?
Calculating credit scores
Predicting stock market trends
Identifying unusual or suspicious patterns
Tracking user login history
18
What is the AI technology that is used to create voice models that sound exactly like the real voice?
TBD
TBD
TBD
Voice cloning technology
19
Which is a serious AI threat in financial security?
Adversarial attacks on machine learning models
Robo-flamingos causing digital mayhem
Deep learning for credit card origami
Genetic algorithms for personalized finance jokes
20
Natural Language Processing (NLP) can analyze text/voice-based communications to identify fraudulent communication.
False
True
