Learn how Consequence Scanning, a framework that helps teams examine the impacts of their products or services on society, supports the principle of inclusivity in AI, which involves ensuring that AI systems respect and value human diversity.
Table of Contents
Question
A consultant conducts a series of Consequence Scanning workshops to support testing diverse datasets. Which Salesforce Trusted AI Principles is being practiced?
A. Transparency
B. Inclusivity
C. Accountability
Answer
B. Inclusivity
Explanation
The correct answer is B. Inclusivity. Inclusivity is one of the Salesforce Trusted AI Principles that guides the development and use of AI systems that respect and value human diversity, and that promote fairness and equality for all. Inclusivity involves ensuring that AI systems are designed and tested with diverse datasets, perspectives, and stakeholders, and that they do not exclude, discriminate, or harm any groups or individuals based on their identity, background, or situation.
A consultant who conducts a series of Consequence Scanning workshops to support testing diverse datasets is practicing the principle of inclusivity, as they are proactively identifying and mitigating the potential negative or unintended consequences of AI systems for different communities and populations.
Consequence Scanning is a framework that helps teams examine the impacts of their products or services on society, and take actions to prevent or reduce harm. By using diverse datasets, the consultant can ensure that the AI systems are trained and evaluated on data that is representative, relevant, and respectful of the variety and complexity of human experiences and needs.
Conducting a series of Consequence Scanning workshops to support testing diverse datasets is an action that practices Salesforce’s Trusted AI Principle of Inclusivity. Inclusivity is one of the Trusted AI Principles that states that AI systems should be designed and developed with respect for diversity and inclusion of different perspectives, backgrounds, and experiences. Conducting Consequence Scanning workshops means engaging with various stakeholders to identify and assess the potential impacts and implications of AI systems on different groups or domains. Conducting Consequence Scanning workshops can help practice Inclusivity by ensuring that diverse datasets are used to test and evaluate AI systems.
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