Algorithmic Bias
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What is Algorithmic Bias?
Algorithmic bias occurs when a computer system reflects the implicit values of the humans who created the algorithm or the data used to train it. This can lead to unfair or discriminatory outcomes for certain groups of people, even if the algorithm is not explicitly designed to be biased. It arises from flawed assumptions, incomplete data, or biased data used in the development process, ultimately perpetuating and amplifying existing societal biases.
Free resources to learn Algorithmic Bias
More in stage 43: Bias Recognition
Algorithmic Bias: common questions
Can I learn Algorithmic Bias in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Algorithmic Bias in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Algorithmic Bias tutorial for beginners?
It is lesson 158 of 200 in the free BI Analyst roadmap, in stage 43, Bias Recognition. If you are new to BI Analyst, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.