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WorksheetsHROxchange 3: Navigating the New Normal
Total questions: 20
Worksheet time: 3mins
What is GenAI?
A type of robot
A new programming language
AI that can create things like text or images
A superfast computer
Why is ethical AI important?
To make AI smarter
To ensure fairness and reduce bias
To replace humans completely
To make faster decisions
What’s the problem with relying too much on algorithms?
Nothing, they always work perfectly.
They can repeat mistakes in the data.
They make people lazy.
They take too long to decide.
What does GenAI create?
Nothing new
Text, images, or other content
Robots
Websites only
What can GenAI do for businesses?
Replace all employees
Automate tasks and improve customer experiences
Build new factories
Eliminate competition
What does machine learning help computers do?
Learn from data and improve over time
Fix themselves automatically
Work without electricity
Understand emotions like humans
How can AI make businesses more resilient?
By predicting trends and optimizing operations
By replacing all employees
By avoiding risks completely
By slowing down processes
What’s a challenge with tech advancements?
They are too slow to adopt.
They can increase inequality if not used wisely.
They solve every problem instantly.
They don’t impact our daily lives.
Why is customer data important in banking?
It helps banks offer tailored financial solutions.
It is unnecessary for modern banking.
It slows down decision-making.
It creates more risks than benefits.
How does technology improve banking services?
By introducing AI to replace all physical branches
By making online banking seamless and accessible
By automating all decision-making processes
By eliminating the need for any customer service
How can generative AI transform customer interactions in banking?
By recommending identical solutions to every client
By automating all human customer service roles
By generating tailored financial reports and advice
By offering irrelevant product suggestions
What is finding patterns in data called?
Data fishing
Data mining
Data cleaning
Data sharing
How do chatbots powered by AI help customers in banking?
By creating long wait times for responses
By providing personalized and real-time financial assistance
By making basic queries unavailable
By handling account creation processes
How do banks use data science to detect fraud?
By setting daily transaction limits for all customers
By restricting access to online accounts
By monitoring account balances only
By analyzing patterns and flagging unusual activities
What is the first step to working with data?
Making a graph
Sharing it online
Cleaning it up
Storing it
Which of the following are examples of Generative AI applications? Choose 3 answers.
DALL·E, used for generating images from text prompts
ChatGPT, a conversational AI used by platforms like Duolingo
Tesla Autopilot, used for self-driving capabilities
Spotify’s AI DJ, which creates personalized playlists and commentary
Which of the following is NOT an example of Generative AI?
Instagram’s AI filters, which generate augmented reality effects for photos
Canva’s Magic Write, which creates text content from prompts
YouTube’s automatic video captions, which generate text from spoken words
TikTok’s AI-generated music, which suggests soundtracks based on video content
What type of data do banks usually collect when you open an account?
Your social media passwords
Your personal identification information like name and address
Your preferences for TV shows
Your shopping history from other stores
How can data help a bank maintain customer trust during a crisis?
By tracking social media sentiment and addressing concerns in real time
By sending automated messages without personalized responses
By focusing only on the bank’s internal financial situation
By keeping all crisis-related information confidential from the public
What role does data analytics play in helping an organization become an industry leader? Hint: There are more than 2 correct answers.
It helps the organization identify emerging trends and adapt quickly to changes in customer preferences.
It provides insights into customer behavior and market conditions, enabling targeted strategies.
It simplifies decision-making by ignoring external factors and focusing on past performance.
It increases the organization’s reliance on intuition, reducing the role of data in strategic planning.
