Last Updated on July 17, 2023 by Editorial Team
Author(s): Dr. Mandar Karhade, MD. PhD.
Originally published on Towards AI.
Setting Standards for the Quality and Accuracy
An Immature AI is not a reason to allow systemic bias.
As the use of artificial intelligence (AI) continues to grow and expand, concerns about bias in AI systems have become increasingly prominent. Bias in AI can have serious consequences, including discriminating against certain groups of people, perpetuating existing social inequalities, and making decisions that are unfair or even harmful.
Let’s go through some prominent examples of eager implementation AI that did not go as expected –
Photo by Amy Elting on UnsplashVA researchers The DeepMind researchers acknowledged that the training data comprised 6.38% of women and all 93.62% of men. According to… Read the full blog for free on Medium.
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Published via Towards AI