Question 1

Which of the following is a key ethical concern in artificial intelligence?

Options :

A : The high computational cost of training models.

B : Maximizing the accuracy of AI models.

C : Developing AI systems faster than competitors.

D : Ensuring that AI systems are interpretable and transparent.

Answer: D

Question 2

In the context of text summarization, what is the primary difference between extractive and abstractive summarization?

Options :

A : Extractive summarization is faster but less accurate than abstractive summarization

B : Extractive summarization requires deep learning models, while abstractive summarization does not

C : Extractive summarization generates new sentences, while abstractive summarization selects key sentences

D : Extractive summarization selects key sentences from the text, while abstractive summarization generates new sentences

Answer: D

Question 3

Which factor is most critical in ensuring the scalability of a recommendation engine in a large-scale robotic system?

Options :

A : Computational Efficiency

B : Data Labeling Accuracy

C : User Interface Design

D : Feature Engineering Quality

Answer: A

Question 4

What is a primary challenge of using "Machine Learning" to improve chatbot accuracy over time?

Options :

A : To ensure the chatbot learns from diverse data.

B : To reduce the training time of the chatbot.

C : To standardize response patterns globally.

D : To enhance the interpretability of the chatbot.

Answer: A

Question 5

What does the Schmarzo theorem identify as a key challenge when it comes to the valuation of intangible data assets?

Options :

A : Valuation uncertainty

B : Asset depreciation

C : Market unpredictability

D : Utilization difficulty

Answer: A