What are some challenges in using AI for species identification?

What are some challenges in using AI for species identification?

There are several challenges, including data quality, algorithm bias, and the need for extensive training datasets.

Can you elaborate on data quality issues?

Sure! Poor quality data can lead to inaccurate identifications, as AI relies heavily on the data it is trained on.

What about algorithm bias?

Algorithm bias occurs when the AI system favors certain species over others, often due to imbalanced training data.

How can these challenges be addressed?

Improving data collection methods, ensuring diverse datasets, and continuous algorithm evaluation can help mitigate these issues.