Learn how to minimize AI bias, which is a type of error or deviation from the truth that affects the data, algorithms, or applications of AI systems, and how to implement Salesforce’s Trusted AI Principles, which are a set of guidelines that help develop and use AI systems that are responsible, ethical, and beneficial for all.
Table of Contents
Question
Cloud Kicks wants to implement AI features on its 5aiesforce Platform but has concerns about potential ethical and privacy challenges. What should they consider doing to minimize potential AI bias?
A. Integrate AI models that auto-correct biased data.
B. Implement Salesforce’s Trusted AI Principles.
C. Use demographic data to identify minority groups.
Answer
B. Implement Salesforce’s Trusted AI Principles.
Explanation
The correct answer is B. Implement Salesforce’s Trusted AI Principles. Salesforce’s Trusted AI Principles are a set of guidelines that help Salesforce and its customers develop and use AI systems that are responsible, ethical, and beneficial for all. The principles are:
- Responsible: We strive to safeguard human rights, to protect the data we are trusted with, observe scientific standards and enforce policies against abuse. We expect our customers to use our AI responsibly, and in compliance with their agreements with us, including our Acceptable Use Policy.
- Accountable: We believe in holding ourselves accountable to our customers, partners, and society. We will seek independent feedback for continuous improvement of our practice and policies and work to mitigate harm to customers and consumers.
- Transparent: We strive to ensure our customers understand the “why” behind each AI-driven recommendation and prediction so they can make informed decisions, identify unintended outcomes and mitigate harm.
- Empowering: We believe AI is best utilized when paired with human ability, augmenting people, and enabling them to make better decisions. We aspire to create technology that empowers everyone to be more productive and drive greater impact within their organizations.
- Inclusive: AI should improve the human condition and represent the values of all those impacted, not just the creators.
By implementing these principles, Cloud Kicks can minimize potential AI bias, which is a type of error or deviation from the truth that affects the data, algorithms, or applications of AI systems, and that can cause harm or discrimination to certain groups or individuals based on their identity, background, or situation. For example, Cloud Kicks can:
- Use diverse and representative datasets to train and evaluate their AI systems, and avoid excluding, underrepresenting, or misrepresenting certain groups or individuals based on their gender, race, ethnicity, age, or other characteristics.
- Test and monitor their AI systems for accuracy, reliability, and fairness, and identify and mitigate any errors, anomalies, or biases that may affect their performance or outcomes.
- Provide clear and transparent explanations and sources for their AI-driven recommendations and predictions, and allow their customers to review, modify, or reject them.
- Design and use their AI systems to augment and empower their human employees and customers, and not to replace or undermine them.
- Respect and value the diversity and dignity of their customers and stakeholders, and ensure that their AI systems do not exclude, discriminate, or harm anyone based on their identity, background, or situation.
Implementing Salesforce’s Trusted AI Principles is what Cloud Kicks should consider doing to minimize potential AI bias. Salesforce’s Trusted AI Principles are a set of guidelines and best practices for developing and using AI systems in a responsible and ethical way. The principles include Accountability, Fairness & Equality, Transparency & Explainability, Privacy & Security, Reliability & Safety, Inclusivity & Diversity, Empowerment & Education.
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