We are required to answer the discussion questions after reading the paper written by peters. The answers should provide in text APA citations from the reading.I will provide some previous assignment i had worked on, please stick to my writing style. The use of Ai is strictly prohibited, no other ressource should be used but the reading.To receive at least an 8.5 out of 10, you must answer the question fully and with cited evidence from the readings (including in-text citations in APA format).
1- What is algorithmic bias? How does it manifest in AI systems? How can it lead to unfair discrimination against certain social groups?
2- According to the author, what are the main challenges in detecting and eradicating algorithmic political bias? How do these challenges differ from those associated with gender and racial biases?
3- The author mentions three ways in which algorithmic political bias might arise: Mislabeling of AI training data, unrepresentative sampling, and mirroring existing social inequalities. Can you think of real-world examples that illustrate each of these scenarios?