Systems and methods for generating text descriptive of digital images

A method comprising:

• generating, using a first machine learning model, an initial text description of an image to pre-process the image;
• adjusting one or more inferences of the first machine learning model, the inferences biasing the first machine learning model from associating negative words with the image;
• generating an updated text description of the image to post-process the image using a second machine learning model and the adjusted inferences;
• and
• processing the updated text description of the image to adjust the updated text description of the image by:
• identifying negative words and a risk level for each of the negative words;
• and
• mapping the risk level to a suppression level to reduce a likelihood of the machine learning model selecting the negative words.

A system comprising:

• a first machine learning model for pre-processing an image to generate an initial text description of the image;
• an inference adjustment module for adjusting inferences of the first machine learning model, the inferences biasing the first machine learning model from associating negative words with the image, including:
• a second machine learning model for identifying negative words and a risk level for each of the negative words and configured for mapping the risk level to a suppression level to reduce a likelihood of the first machine learning model selecting the negative words;
• a third machine learning model for post-processing the image using the adjusted inferences to generate an updated text description of the image;
• and
• a post-processing module for adjusting the initial text description of the image based on the updated text description of the image.