In an age where artificial intelligence (AI) is increasingly becoming a part of our everyday lives, there is a growing concern that this technology is compromising the ability of future decision makers to think for themselves. As AI continues to evolve and become more sophisticated, it is being used in a variety of ways that are designed to make our lives easier. However, there is a downside to this convenience as it may be causing us to become reliant on AI to make decisions for us. One way that AI is compromising the ability of future decision makers to think for themselves is by providing them with too much information. With so much data available at our fingertips, it can be difficult for us to process everything and make informed decisions. Instead, we often rely on AI algorithms to sift through the data and provide us with the most relevant information. However, this can lead to us becoming reliant on these algorithms and not thinking for ourselves. Another way that AI is compromising the ability of future decision makers to think for themselves is by making decisions for us. A growing number of businesses are using AI–powered chatbots to interact with customers and provide them with recommendations. While this can be helpful in some cases, it also means that we are outsourcing important decisions to machines. This can lead to us becoming less capable of making decisions ourselves as we become used to relying on AI to do it for us. Finally, AI is also changing the way we think about work and what it means to be productive.
- September 20, 2022
- Posted by: Bernard Mallia
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Compromising the ability of future decision makers to think for themselves
A.I. gives rise to a very real risk not only of losing entry level jobs (because digital assistants can effectively replace human ones) but also of compromising the ability of future decision makers to think for themselves. This has happened with the introduction of the calculator and is likely to happen again with A.I. While this is not inevitable, it is likely to happen over time, even though organisations could use their A.I. systems to create different and better learning opportunities for their employees while improving the system by making it more transparent and giving employees more control.
Future workers will almost probably be quicker to notice chances for innovation and the introduction of practices that add value and generate jobs than their pre-A.I. counterparts since they have grown up in a human-plus-machine workplace.