How well do you understand AI?

Think you know your AI from your algorithms?

Artificial Intelligence has gone from sci-fi to everyday reality faster than most of us imagined. It’s behind the tools we use at work, the apps on our phones, even the recommendations we see online. But separating fact from hype isn’t always easy.

Whether you’re leading tech adoption in your team or just trying to stay ahead of the curve, this quiz will challenge your assumptions and sharpen your understanding. 

AI KNOWLEDGE CHALLENGE

Ready to find out if you're AI-savvy or still stuck in sci-fi mode?  

1 / 10

Which phrase best captures the reality of current AI systems?

“They can think like us, drawing conclusions in ways that closely resemble human reasoning.”

“They predict rather than understand.”

“They are astute, applying knowledge with an awareness similar to decision-making by people.”

“They can resonate at scale, reacting with empathy and sensitivity across interactions.”

2 / 10

How can you reduce AI bias in business applications?

Avoid collecting user data altogether, so the system has less information that could potentially introduce unfairness

Train only on historical company data, since this provides a consistent internal record that reflects how the business has traditionally operated

Use diverse training datasets and human oversight

Let the AI gradually correct bias on its own over time, as it processes more examples and learns from patterns in its outputs

3 / 10

Which of these statements about AI regulation is most accurate (as of 2025)?

AI is unregulated, with no countries putting forward rules or standards currently

The EU AI Act is leading the way in establishing comprehensive rules

The UK banned generative AI in the workplace, preventing companies from experimenting with or adopting it across any sector

The US passed a global AI law last year that applies internationally and sets binding rules for every country

4 / 10

What is fine-tuning in the context of AI models?

Training a pre-trained model further on domain-specific data

Calibrating sensors for a robot to make sure its physical movements are precise and accurate

Writing better prompts to improve the quality of responses without changing the underlying model itself

Adjusting grammar and tone in the generated content after it has been produced to make it read more smoothly

5 / 10

Which principle is most critical when deploying AI responsibly in the workplace? 

Maximising automation at all costs

Avoiding human input

Ensuring transparency and explainability

Reducing training time to prioritise efficiency and lower costs

6 / 10

Which of these is not a typical use case for generative AI?

Legal contract drafting

Personalised marketing copy

Real-time fraud detection

Image generation for campaigns

7 / 10

Which of these is a limitation of large language models (LLMs)?

They can’t process text

They can’t write original content

They don’t understand meaning like humans do

They can’t scale to multiple users without careful infrastructure adjustments like load balancing and resource management

8 / 10

What is “hallucination” in the context of AI? 

An error in robot vision

When an AI system mimics human creativity

When an AI system generates confident but false or made-up content

AI overfitting on test data

9 / 10

Which factor most limits how accurate or useful an AI model is?

How recently it was built

Whether it's cloud-based

How fast its processor is

The quality and bias in the training data

10 / 10

Which of the following best describes “narrow AI”?

An AI that outperforms humans across all domains

A system designed for a specific task, like image recognition 

A self-aware machine

AI that imitates human emotions

Your score is

The average score is 49%

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Curious how AI could elevate your customer experience?

However you scored, one thing is clear: AI is reshaping how we work, communicate, and serve customers. The smartest businesses aren’t waiting to catch up, they’re already putting AI to work in the right places, with the right support.

At Moneypenny, we blend brilliant people with cutting-edge AI to deliver seamless customer communication, from AI Voice Agents to Telephone Answering Services.