What are the main challenges in AI model development?

What are the main challenges in AI model development?

Some key challenges include data quality, model bias, computational resources, and interpretability.

How does data quality affect AI models?

Data quality directly impacts model performance; poor data can lead to inaccurate predictions and biased outcomes.

What is model bias and why is it a concern?

Model bias occurs when an AI model produces unfair outcomes due to biased training data, leading to ethical concerns.

Can you give examples of computational resource challenges?

Sure! Challenges include the need for high processing power, memory limitations, and long training times for complex models.

How can we improve interpretability in AI models?

Improving interpretability can involve using simpler models, visualization tools, and techniques like LIME or SHAP.