AI baises are nothing but inclination or prejudice machines may offer while providing a particular solution (true /false) ​

Answers 2

true is correct answer

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Answer:

It is true. Artificial intelligence bias (AI bias) is an abnormality in the results of machine learning algorithms caused by biased assumptions made during the algorithm development process or biased training data.

Explanation:

  • Bias in AI" has long been a crucial focus of research and concern in machine learning circles, and during the past several years, as understanding of AI has increased, so has awareness among broad consumer audiences. It's a phrase used to characterise circumstances in which ML-based data analytics algorithms exhibit bias towards particular demographic groups.
  • These prejudices typically correspond to pervasive societal prejudices about race, gender, biological sex, age, and culture. In AI, there are two forms of bias. One is "data bias" in algorithmic AI, when algorithms are taught using skewed data. Societal AI bias is the other type of bias in AI.
  • That's where social conventions and assumptions influence us to have assumptions or blind spots in our thinking. Despite the fact that societal prejudice has a considerable impact on algorithmic AI bias, the development of the later brings things full circle.

Learn more about AI bias

  • https://brainly.in/question/22622481
  • https://brainly.in/question/35794305

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