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