Biggest AI Turnoffs?

Question

What makes you swipe left on an AI product? What are your red-flags?  What features feel stale and over-exposed?

Valorie Jones · Accepted Answer

I have seen a few too many ChatGTP clones with a thin coat of paint and not enough creative thinking.

Kwaku Amprako · Answer

When a product is rushed and just thrown on a plate. Hence, the website is bad and hard to navigate

Jack Davies · Answer

Swipe left on AI products with poor privacy policies, too much hype with no substance, lack of transparency, and overused features like generic chatbots. Red-flags include unrealistic claims and poor user experience.

Brianna Swartz · Answer

ANY products or companies lacking any clear values-based motivation or guardrails. This includes around trust and safety as well as related to bias and bigotry... not specific to AI, but seems with the mad dash to get on this 10x moment these are afterthoughts instead of by-design.

Valorie Jones · Answer

@kwaku_amprako If feel like some companies just don't have the time or budget to do any user testing.  You have to get feedback from potential customers early in your design process before you commit too many resources and build the wrong thing.

Donald Weber · Answer

AI fails to understand or respond to human input in a meaningful way. This can happen when the AI is not properly trained or lacks the necessary data to make informed decisions. Another turnoff is when AI is overly complex or difficult to use, making it inaccessible to non-experts. Finally, there is a concern around AI's potential to replace human jobs or perpetuate bias and discrimination. Addressing these issues and ensuring that AI is designed to enhance and augment human abilities, rather than replace them, can go a long way in making AI more appealing and accessible to everyone.

Rohan Pradhan · Answer

For me, it's always been the generic writing generated by AI products. They're always a 5/10 thing.

Eylul Savas · Answer

One potential red flag could be if the AI product doesn’t provide clear or transparent explanations of how it works. If the product is making decisions or recommendations, I may want to understand the logic and data behind those decisions. Lack of transparency could erode trust in the product.
Another potential issue could be if the AI product has biases or makes unfair or discriminatory decisions. As AI is only as good as the data it is trained on, biased data can result in biased algorithms. Users may be wary of using products that have a history of biased decisions.

Valorie Jones · Answer

@jackkdavies26  To really work, transparency and trust have to be core values at any tech company.  It is a little concerning that Microsoft laid off a large part of the well-regarded AI Ethics team, at the same time as they are investing on GTP.

Biggest AI Turnoffs?

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