Learn how to test AI models with diverse and representative datasets, which is an approach that aligns with Salesforce’s Trusted AI Principle of Inclusivity, and how it can help ensure that AI models are fair, accurate, and beneficial for all.
Table of Contents
Question
Cloud Kicks is testing a new AI model. Which approach aligns with Salesforce’s Trusted AI Principle of Inclusivity?
A. Test only with data from a specific region or demographic to limit the risk of data leaks.
B. Rely on a development team with uniform backgrounds to assess the potential societal implications of the model.
C. Test with diverse and representative datasets appropriate for how the model will be used.
Answer
C. Test with diverse and representative datasets appropriate for how the model will be used.
Explanation
The correct answer is C. Test with diverse and representative datasets appropriate for how the model will be used. This approach aligns with Salesforce’s Trusted AI Principle of Inclusivity, which states that “AI should improve the human condition and represent the values of all those impacted, not just the creators.” Testing with diverse and representative datasets can help ensure that the AI model is trained and evaluated on data that reflects the variety and complexity of human experiences and needs, and that it does not exclude, discriminate, or harm any groups or individuals based on their identity, background, or situation. For example, testing with diverse and representative datasets can help avoid biases based on gender, race, ethnicity, age, or other characteristics, and ensure that the AI model performs well and fairly for all customers and end users. Testing with diverse and representative datasets can also help identify and mitigate any potential negative or unintended consequences of the AI model for different communities and populations, and ensure that the AI model aligns with the ethical and social values of the society.
Testing with diverse and representative datasets appropriate for how the model will be used aligns with Salesforce’s Trusted AI Principle of Inclusivity. Inclusivity means that AI systems should be designed and developed with respect for diversity and inclusion of different perspectives, backgrounds, and experiences. Testing with diverse and representative datasets can help ensure that the models are fair, unbiased, and representative of the target population or domain.
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