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Have you encountered any challenges in terms of user understanding or acceptance of AI?

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3 Answers
  1. Manjeet Singh
    Manjeet Singh

    Salesforce Senior Director of Product Management • Wed

    Yes a few:
    Lack of mental model
    Users don’t know what AI is good/bad at, so they either ask it to do impossible things or give it trivial tasks and see no value.
    Eval is an afterthought
    Lack of understanding on how to test AI output. Most people do not know how to analyze an agent trace

    Cost: cost will add up if you do not have a right strategy on which model to use for what task

    Data Readiness: This is harder than what most people assume. AI is as good as the data it has access to


    298 Views
  2. Mike Flouton
    Mike Flouton

    Boxford Capital Managing Partner | Formerly Barracuda, SilverSky, Digital Guardian, OpenPages, Cybertrust • 2y

    For sure. There are certain things AI does really well, and others that humans or traditional deterministic algorithms do better. That sounds obvious, but there's some nuance here that users often miss. At Barracuda, we were the first major email security vendor to market with an AI based approach to stopping phishing and impersonation attacks. We invested a tremendous amount of time training the models to spot attacks that traditional solutions missed. We didn't train those models to catch run ...Read More

    1,264 Views
  3. Deepak Mukunthu
    Deepak Mukunthu

    Salesforce Senior Director of Product, Agentforce AI Platform • 2y

    Yes, encountering challenges related to user understanding or acceptance of AI is quite common. Some of the challenges I've encountered include:

    1. Lack of Trust

    2. Misconceptions and Myths

    3. Fear of Job Displacement

    4. Bias and Fairness Concerns

    5. Privacy and Data Security

    6. Cultural and Ethical Considerations

    680 Views

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