Questions tagged [algorithmic-bias]

For questions related to the concept of algorithmic bias, which is the bias that algorithms exhibit, such as privileging one arbitrary group of users over others. Algorithmic bias can emerge due to many factors, including but not limited to the design of the algorithm itself, unintended or unanticipated use or decisions relating to the way data is coded, collected, selected or used to train the algorithm.

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1answer
67 views

What needs to be done to make a fair algorithm?

What needs to be done to make a fair algorithm (supervised and unsupervised)? In this context, there is no consensus on the definition of fairness, so you can use the definition you find most ...
5
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3answers
98 views

Preventing bias by not providing irrelevant data

This seems like such a simple idea, but I've never heard anyone that has addressed it, and a quick Google revealed nothing, so here it goes. The way I learned about machine learning is that it ...
7
votes
3answers
275 views

How is it that AI can become biased, and what are the proposals to mitigate this?

This is not meant to be negative or a joke but rather looking for a productive solution on AI development, engineering and its impact on human life: Lately with my Google searches, the AI model keeps ...
5
votes
2answers
144 views

Is algorithmic bias due to the training dataset used?

I recently read about algorithmic bias in facial recognition. Is algorithmic bias due to the training dataset used, or is it due to something else?