Why should artificial intelligence developers always take inputs from diverse sources?

Why should artificial intelligence developers always take inputs from diverse sources?
A . To investigate the model requirements properly
B . To perform exploratory data analysis
C . To determine where and how the dataset is produced
D . To cover all possible cases that the model should handle

View Answer

Answer: D

Explanation:

Diverse Data Sources: Utilizing inputs from diverse sources ensures the AI model is exposed to a wide range of scenarios, dialects, and contexts. This diversity helps the model generalize better and avoid biases that could occur if the data were too homogeneous.

Reference: "Diverse data sources help AI models to generalize better and avoid biases." (MIT Technology Review, 2019)

Comprehensive Coverage: By incorporating diverse inputs, developers ensure the model can handle various edge cases and unexpected inputs, making it robust and reliable in real-world applications.

Reference: "Comprehensive data coverage is essential for creating robust AI models that perform well in diverse situations." (ACM Digital Library, 2021)

Avoiding Bias: Diverse inputs reduce the risk of bias in AI systems by representing a broad spectrum of user experiences and perspectives, leading to fairer and more accurate predictions.

Reference: "Diverse datasets help mitigate bias and improve the fairness of AI systems." (AI Now Institute, 2018)