Exam Salesforce-AI-Associate Topic 3 Question 17 Discussion
Actual exam question for Salesforce's Salesforce-AI-Associate exam
Question #: 17
Topic #: 3
Question #: 17
Topic #: 3
What Is a benefit of data quality and transparency as it pertains to bias in generated AI?
Suggested Answer: A Vote an answer
Explanation
"Data quality and transparency can help mitigate the chances of bias in generative AI. Data quality means that the data is accurate, complete, consistent, relevant, and timely for the AI task. Data quality can help mitigate bias by ensuring that the generative AI model learns from a balanced and representative sample of the target population or domain. Data transparency means that the data sources, methods, and processes are clear and open to inspection and verification. Data transparency can help mitigate bias by allowing users to understand and evaluate the data used or generated by the generative AI model."
"Data quality and transparency can help mitigate the chances of bias in generative AI. Data quality means that the data is accurate, complete, consistent, relevant, and timely for the AI task. Data quality can help mitigate bias by ensuring that the generative AI model learns from a balanced and representative sample of the target population or domain. Data transparency means that the data sources, methods, and processes are clear and open to inspection and verification. Data transparency can help mitigate bias by allowing users to understand and evaluate the data used or generated by the generative AI model."
by Aries at Nov 27, 2023, 07:34 PM
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