Artificial intelligence can create rigid systems that are based on an algorithm. However, that might clash with how humans actually work. That is why we have to understand the need to create a human-centered AI experience that can work with the way people actually work. Humans and AI don’t often mix, but this is something that will change once we understand various what-if-scenarios and more. There is a big concern about whether AI will be able to change the way that humans behave. AI best practices are often about algorithms that assume robotic-like behavior from humans. Will those assumptions hold up? That is the question that will cause some concern for people thinking about a world run by AI.
One of the areas where artificial intelligence algorithms will need to be more human-centric is bartering or haggling. The logical answer to the reason why people haggle is that they want to get a better deal. However, research has shown that this is not the truth.
The reality is that people bargain or haggle because they want to get the feeling of accomplishment when they get the answer they want. When it comes to humans and AI, this is something that needs to be accounted for. You also need to figure out how you can make augmented humans work even better than with each component being separate. There will need to be new AI algorithms that account for the reality of how humans behave. It might be a major challenge for people who focus on the logical answers to these types of questions.
Human Judgement over AI Algorithms
Another area where our best what-if-scenarios don’t always come to fruition is in decision-making. The truth is that augmented humans don’t always behave and make decisions the way you would think. Following your instincts is a major trope because it is usually true.AI best practices can be really difficult to understand because some of them will usually involve black boxes.
When it comes down to it, humans are more likely to trust the decisions that they make than AI algorithms. That is true even when data shows that the algorithms make more accurate predictions. People just feel more comfortable when they are in control. Making the decisions themselves gives them that illusion of control. It is one of the many reasons why we have to create more human-centered AI scenarios to help people give up that control.
Best Practices We Can Learn From
There are certain best practices that we can all learn from to create better AI algorithms and systems. We will not change human nature, so we have to get humans and AI to work together in harmony. That will mean following AI best practices that have been found to deliver us the right results. It also means augmented humans that trust AI algorithms fully. We might even have to create hybrid systems that humans can use to improve AI as well. Either way, xpresso.ai is a great system that can help you build an AI plan that leads to your success.