Machine Learning and AI for Absolute Beginners

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PRIVACY & ETHICS

 

While artificial intelligence brings innumerable benefits and promises of a technologically advanced future, it poses serious challenges too. As we’ve touched upon in previous chapters, one of the common challenges is bias and fairness. The concept of bias refers to an unfair and prejudicial inclination or favor towards or against a person or group. In the context of AI, the concern is that prediction models, particularly those involved in decision-making processes, inadvertently replicate and amplify biases present in the training data or the biases of their human creators, which can lead to unfair outcomes.

These biases can manifest themselves in numerous ways, from racial and gender bias in facial recognition ...