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# System prepended metadata

title: Processing with AI

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# Processing with AI
## Exploration : IA & Ethics

Name:
> Samuel Lermytte
> 
Subject: 
> Detect dermatological problems using Computer Vision

>[TOC]

## Design brief

### Biais

If we don't source our dataset with enough rigor, the following biais might appear:

>1. overfitting
>2. non representative dataset
>3. over/under represented skin issues

We will ensure that our model is not biaised by:

>1. Sourcing our data from different databases located in different countries/continent (for example )
>2. Making sure our data take into account various minorities and ethnicities
>3. Making sure that a wide range of skin issues are present in our database.

### Overfitting

We will make sure our model does not overfit by
> Checking the accuracy of our model on other open sources databases with random and diversified people

### Misuse

>We have to remind ourselves that our application could be misused by fraudulent skin doctors to get their patients to believe they have a skin issue that they actually do not have.

### Data leakage

>We have decided that our training dataset will be fully open-sourced, but before we made sure that it does not provide intimate information that could be used/provided unlegitimately (eg: intimate skin pictures/ revenge porn)

### Hacking

> If someone found a way to "cheat" our model and make it make any prediction that it want instead of the real one, the risk would be that we fail to detect people with a skin issue, in the same way we'd fail to detect people with coronavirus and that they would start contaminating others. 