AIF-C01 Question 78
Select 3A company is evaluating the use of a generative AI model to provide customer support through a chatbot. However, the team is concerned about potential limitations of generative AI solutions. Which of the following are valid disadvantages that the team should consider?
- A
The model may generate incorrect or fabricated information when responding to customer queries.
- B
The model's underlying decision-making process can be difficult to interpret and explain.
- C
The model is guaranteed to produce consistent responses for identical inputs.
- D
The model may generate offensive or biased content if not properly trained and monitored.
- E
The model requires no data preprocessing or ongoing fine-tuning for optimal performance.
Show answer and explanation
Correct answers: A, B, D
Explanation
Generative AI solutions come with several potential disadvantages, including hallucinations (fabricated or incorrect outputs), limited interpretability (difficulty in understanding the model's decision-making process), and the possibility of generating biased or offensive content. These issues must be carefully managed to ensure responsible and accurate use of generative AI in applications such as customer support.
- A. Correct.
This is correct. Generative AI models can hallucinate, meaning they may provide responses that are inaccurate or completely fabricated, which could lead to misinformation.
- B. Correct.
This is correct. Generative AI models, such as those based on deep learning, often have limited interpretability, making it difficult to explain how they arrived at a specific output.
- C. Incorrect.
This is incorrect. Generative AI models are inherently nondeterministic, meaning they do not always produce consistent outputs for identical inputs due to their probabilistic nature.
- D. Correct.
This is correct. Generative AI models can unintentionally generate biased or offensive content if their training data contains such biases or if monitoring mechanisms are not implemented.
- E. Incorrect.
This is incorrect. Generative AI models often require data preprocessing and periodic fine-tuning to ensure they perform optimally, especially in dynamic real-world environments.