Question

what are some common sources of bias in ai systems?
training data, model creator,
guidrails, user’s prompt
weather patterns, geographic
location, time of day
hardware limitations, internet
speed, user interface
marketing strategies, business
plans, financial reports

Explanation:

To determine the common sources of bias in AI systems, we analyze each option:

• The first option (Training data, model creator, guardrails, user’s prompt) relates to AI development and usage. Training data can be biased (e.g., unrepresentative samples), model creators may have implicit biases, guardrails (if poorly designed) can introduce bias, and user prompts can also lead to biased outputs.
• The second option (Weather patterns, geographic location, time of day) are environmental factors not related to AI bias sources.
• The third option (Hardware limitations, internet speed, user interface) are technical or usability aspects, not bias sources.
• The fourth option (Marketing strategies, business plans, financial reports) are business - related and not AI bias sources.

So the first option is correct.

Answer:

A. Training data, model creator, guardrails, user’s prompt