Final answer:
Prejudice and racism in AI are influenced by several factors including lack of diverse data, biases in AI system design, limited understanding of AI ethics, and societal biases reflected in AI.
Step-by-step explanation:
The factors that contribute to prejudice and racism in AI include a lack of diverse data used to train AI algorithms, bias in the design and development of AI systems, a limited understanding of ethical considerations in AI, and inherent biases in human society that are reflected in AI. All of these factors can combine to create AI systems that perpetuate and amplify existing societal biases and discrimination, making it crucial for AI developers and users to be vigilant about the data and processes they use. This requires a commitment to fostering diversity and ethics in technology development and deployment as well as ongoing research into how implicit biases influence AI technology.