AIF-C01 Question 169
Select 3A company is planning to deploy a machine learning model for predicting energy consumption patterns. The team wants to ensure their choice aligns with responsible AI practices, including environmental considerations and sustainability. Which of the following actions should the team prioritize?
- A
Select a model that requires minimal computational resources and achieves comparable accuracy.
- B
Ensure the model training and inference are conducted in AWS regions with higher renewable energy usage.
- C
Choose a highly complex deep learning model, even if simpler models can achieve similar performance.
- D
Implement model optimization techniques such as pruning or quantization to reduce energy consumption.
- E
Disregard sustainability concerns and focus solely on maximizing prediction accuracy.
Show answer and explanation
Correct answers: A, B, D
Explanation
The responsible deployment of machine learning models involves considering environmental and sustainability factors. By selecting resource-efficient models, leveraging AWS regions with renewable energy, and applying optimization techniques, organizations can reduce their carbon footprint while maintaining acceptable performance levels. Ignoring these considerations or choosing overly complex models goes against responsible AI practices.
- A. Correct.
This is correct because selecting a less resource-intensive model reduces the environmental impact while still meeting performance requirements.
- B. Correct.
This is correct because running workloads in regions that utilize renewable energy sources helps reduce the carbon footprint of your model.
- C. Incorrect.
This is incorrect because selecting an overly complex model unnecessarily increases computational costs and environmental impact, especially if simpler alternatives perform similarly.
- D. Correct.
This is correct because techniques like model pruning and quantization reduce the size and energy requirements of models without significantly compromising performance.
- E. Incorrect.
This is incorrect because responsible AI practices include balancing accuracy with environmental and sustainability considerations.