ITPro Today's 2024 AI Quiz

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How well do you know fundamental AI concepts and technologies?

This quiz contains 20 multiple-choice questions about a variety of topics. Carefully read each question and choose the option you believe is the correct answer. Each question is worth 1 point. Once you've answered all the questions, click the "Submit" button.

After submitting your responses, you’ll receive feedback on each question as well as an overall score.

How To Interpret Your Quiz Score:

0 Correct: 8-Bit Apprentice
1-5 Correct: Chatbot Conjurer
6-10 Correct: Algorithmic Alchemist
11-15 Correct: Deep Learning Dynamo
16-19 Correct: Neural Network Navigator
All 20 Questions Correct: AI Arch Mage

If you score between 11-20 points, collect your badge here!

Your quiz responses are confidential, and we do not share individual results.

Let's get started!

1. What is the primary goal of Responsible AI?

1 point

Ensuring AI decisions use the least amount of data possible.

Embedding ethical principles like transparency and fairness in AI systems.

Distributing manual tasks to human workers in a timely manner.

Clear selection

2. In AI security, IT professionals should be most concerned about...

1 point

Issues related to data protection.

Dust buildup on hardware components – especially synapse sprockets.

Strong defenses for development, testing, and staging environments.

Clear selection

3. What is "Narrow AI"?

1 point

Sentient, highly intelligent AI that can tackle a broad range of tasks.

AI designed and trained for for specific tasks or domains.

AI systems that do not require human supervision.

Clear selection

4. Machine Learning (ML) is a subset of AI that...

1 point

Requires human coaching and virtual monetary incentives to function correctly.

Focuses on innovating hardware in accordance with accelerationist principles.

Enables autonomous learning in machines, improving accuracy and scope of understanding over time.

Clear selection

5. How does Deep Learning (DL) differ from traditional Machine Learning?

1 point

DL runs off computers submerged in pools of mineral oil, while ML rigs operate on dry land.

DL uses neural networks to process data in highly complex ways. Traditional ML relies primarily on algorithms, training data, and other input.

DL is truly smart, whereas ML is just okay.

Clear selection

6. What does Natural Language Processing (NLP) allow computers to do?

1 point

Employ nonverbal communication when interacting with users.

Create new vocal processing effects (e.g., autotune).

Understand, interpret, and respond to human language.

Clear selection

7. What do Large Language Models (LLMs) seek to do?

1 point

Interpret, generate responses, and interact using human language across a range of tasks and contexts.

Synthesize world languages into an international medium of communication (i.e., “Esperanto 2.0”).

Act as webcrawlers that fact-check information on the internet.

Clear selection

8. What is a common use of AI in the world of banking and finance?

1 point

Pumping meme stocks and altcoins.

Predicting unforeseen events and sudden market shifts with absolute certainty.

Identifying potential fraud and suspicious activities.

Clear selection

9. What is one thing that AI is currently being used for in scientific and medical research fields?

1 point

Rapidly advancing the field of crystal healing.

Accelerating drug development and diagnostics.

Helping children learn faster through neural implants.

Clear selection

10. What is one of AI's main uses in online shopping?

1 point

Personalizing shopping recommendations.

Critiquing customers’ personal tastes.

Making new tech toys and gadgets.

Clear selection

11. TensorFlow is an open-source framework used primarily for...

1 point

The analysis of fluid dynamics.

Generating AI-based animations for commercial use.

Complex Deep Learning computations.

Clear selection

12. What's a leading challenge in minimizing AI biases?

1 point

An AI system’s aversion to adverse feedback stimuli.

The complexity and opacity of some AI architectures.

The inability to process large datasets.

Clear selection

13. What should computer scientists and researchers be encouraged to do?

1 point

Use highly opaque "black box" AI to protect proprietary secrets.

Work as quickly as possible.

Strive to make AI systems that are understandable, accountable, and free of bias.

Clear selection

14. How is AI improving efficiency in manufacturing?

1 point

Enabling predictive equipment maintenance and troubleshooting.

Automating every single process.

Standardizing bid-rigging best practices.

Clear selection

15. What is AI's greatest impact on transportation today?

1 point

The elimination of congestion worldwide.

An 80% reduction in air travel delays and disruptions in 2023.

Advancements in autonomous vehicle technologies via computer vision.

Clear selection

16. Why is the quality of training data in AI so important?

1 point

Data quality directly impacts the performance and reliability of AI models.

Poor quality data can cause of nanoflux distortion loops, which can take years to repair.

False.

Clear selection

17. Which of the following is an example of a supervised learning task?

1 point

Image classication.

Anomaly detection.

Quantum computing.

Clear selection

18. What are the three types of Machine Learning?

1 point

Supervised learning, unsupervised learning, and overclocked learning.

Super-parsed learning, previewed learning, and retroactive learning.

Supervised learning, unsupervised learning, and reinforcement learning.

Clear selection

19. Deep Learning distinguishes itself from other types of Machine Learning by using...

1 point

Single-layer artificial synapses and nodes for basic pattern recognition.

Multi-layer neural networks, including ANNs (Artificial Neural Networks), CNNs (Convolutional Neural Networks), and RNNs (Recurrent Neural Networks).

Strictly manual coding.

Clear selection

20. Which of the following tasks is typically not associated with Natural Language Processing?

1 point

Sentiment analysis.

Language translation.

Image recognition.

Clear selection

Submit

Clear form

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