Prior to beginning work on this assignment, read Chapter $8$ of your textbook. In this assignment, you will follow the implementation steps outlined in your textbook for conducting a Responsible Neural Network Project. The project focuses on exploring the fairness issues in image classification and how to identify them using the Responsible Data Science $($RDS$)$ Framework.

The FairFace dataset will be used for this purpose. While the file can be located on KaggleLinks to an external site., it is too large for downloading, and you are not required to download it$.$ Your textbook displays sample images from the FairFace dataset with gender and race identified.

The project aims to assess an algorithm capable of tagging images based on gender, using images from security cameras.

You must use the RDS Framework to identify issues you may encounter in this face recognition project.

In your assignment,

Examine the FairFace dataset for Fair or balanced race values.

Analyze the dataset for any standard values missing for gender and race.

Assess any ethical concerns you must consider with this project.

Describe the challenges inherent in image recognition.

Explain the steps you will take to prepare this dataset for training and testing.

Argue which high$-$level neural network modeling is more appropriate for this project.

Explain the issues of fairness in the outcome of this project$$s implementation described in your textbook.

Examine the possible harms that may result from the implementation of this project.

Propose a course of action for addressing this project's ethical and fairness issues as a non$-$technical decision$-$maker.