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Get Smart with Salesforce Einstein

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  1. Salesforce Einstein Basics

    Get Started with Einstein
  2. Get Started with Einstein
    7 Topics
  3. Learn About Einstein Out-Of-The-Box Applications
    7 Topics
  4. Responsible Creation of Artificial Intelligence
    Use the Einstein Platform
    9 Topics
  5. Understand the Ethical Use of Technology
    8 Topics
  6. Learn the Basics of Artificial Intelligence
    5 Topics
  7. Recognize Bias in Artificial Intelligence
    6 Topics
  8. Einstein Bots Basics
    Remove Bias from Your Data and Algorithms
    6 Topics
  9. Learn About Einstein Bots
    6 Topics
  10. Plan Your Bot Content
    4 Topics
  11. Einstein Next Best Action
    Learn the Prerequisites and Enable Einstein Bots
    3 Topics
  12. Get Started with Einstein Next Best Action
    9 Topics
  13. Sales Cloud Einstein
    Understand How Einstein Next Best Action Works
    7 Topics
  14. Increase Sales Productivity
    5 Topics
  15. Automate Sales Activities
    5 Topics
  16. Target the Best Leads
    3 Topics
  17. Close More Deals
    6 Topics
  18. Connect with Your Customers and Create New Business
    4 Topics
  19. Sales Cloud Einstein Rollout Strategies
    Improve Sales Predictions
    4 Topics
  20. Use AI to Improve Sales
  21. Start with a Plan
  22. Set Goals and Priorities
  23. Get Ready for Einstein
  24. Quick Start: Einstein Prediction Builder
    Start Using Sales Cloud Einstein
  25. Sign Up for an Einstein Prediction Builder Trailhead Playground
  26. Create a Formula Field to Predict
  27. Enrich Your Prediction
  28. Build a Prediction
  29. Quick Start: Einstein Image Classification
    Create a List View for Your Predictions
  30. Get an Einstein Platform Services Account
  31. Get the Code
  32. Create a Remote Site
  33. Create the Apex Classes
  34. Einstein Intent API Basics
    Create the Visualforce Page
  35. Get Started with Einstein Language
  36. Set Up Your Environment
  37. Create the Dataset
  38. Train the Dataset and Create a Model
  39. Put Predictions into Action with Next Best Action
    Use the Model to Make a Prediction
  40. Learn the Basics and Set Up a Custom Playground
  41. Define and Build a Prediction
  42. Customize Your Contact and List Displays
  43. Create Recommendations for Einstein Next Best Action
  44. Create a Next Best Action Strategy
  45. Add Next Best Action to Your Contacts

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Ethics are aligned with laws. Sometimes, however, you need to think beyond the law to develop ethical technology. For example, US federal law protects certain characteristics that you generally can’t use in decisions involving hiring, promotion, housing, lending, or healthcare. These protected classes include sex, race, age, disability, colour, national origin, religion or creed, and genetic information. If your AI models use these characteristics, you may be breaking the law. If your AI model is making a decision where it is legal to rely on these characteristics, it still may not be ethical to allow those kinds of biases. Issues related to protected classes can also cross over into the realm of privacy and legality, so we recommend taking our GDPR trail to learn more. Finally, it is also important to be aware of the ways that Salesforce Einstein may and may not be used in accordance with our Acceptable Use Policy.

The good news is that AI presents an opportunity to systematically address bias. Historically, if you recognized that your company’s decision-making resulted in a biased outcome as a result of individual decision-making, it was difficult to redesign the entire process and overcome this intrinsic bias. Now, with AI systems, we have the chance to bake fairness into the design and improve on existing practices.

In addition to carefully examining the legal and ethical implications of your AI models, you should assess whether your model is aligned with your business’s responsibility to respect and promote human rights. You should factor in international human rights law and the responsibilities the UN has laid out for businesses to respect human rights, which include a due diligence process to assess human rights impacts, act on the assessment, and communicate how the impacts are addressed.

Types of Bias to Look Out For

Bias manifests in a variety of ways. Sometimes it’s the result of systematic error. Other times it’s the result of social prejudice. Sometimes the distinction is blurry. With these two sources of bias in mind, let’s look at the ways in which bias can enter an AI system.