Today, in my AI@Work class, which focused on using Generative AI for work, a particular topic came up between me and my partner. We thought it was worth sharing, hoping that workers won't fall into this trap. The trap in question is the "speed" we get from using Generative AI.
It's undeniable that Generative AI tools like ChatGPT or Bard can help us create things more easily and quickly, which is fundamentally a good thing. However, we must always remember that fast work is not always good work. Often, work done quickly can be flawed or substandard and ends up being unusable.
When Generative AI helps us speed up our tasks, it sometimes leads us to become less vigilant. Instead of using the extra time to review and improve our work, we rush to finish it so we can relax or do something else. This is partly due to our deep-seated desire to complete tasks quickly.
As a result, many tasks finished quickly may be of lower standard or not as good as what we could achieve if we took the time to think, deliberate, and be meticulous. Sometimes, work is done so hastily that we forget to review and check for overlooked errors or risks.
Therefore, the mindset in using AI should be clear: its purpose is not to make our lives easier, but to improve the quality of our work. If the work is faster but not of good quality, it can lead to worse outcomes than before.
So, it's crucial to consider whether our work evaluation should be based on more than just the speed (Speed) axis. We should use a balanced assessment method and ensure that the work meets the required standards before considering it complete, rather than just rushing to finish it.
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