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AI technologies, including machine learning, natural language processing, and robotics, are increasingly capable of performing tasks that were once considered the exclusive domain of humans. These tasks range from simple data entry and analysis to complex decision-making processes. As AI systems become more sophisticated, they are being integrated into a wide range of industries, from manufacturing to healthcare to finance |
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Welcome to the GitHub Community, @mouadsrk , we're happy you're here! You are more likely to get a useful response if you are posting your question(s) in the applicable category and are explicit about what your project entails--giving a few more details might help someone give you a nudge in the right direction. I've gone ahead and moved it for you. Good luck! |
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same in the past the hype was, "will traditional teachers and school be replaced by the Internet ?" as we have seen it's not, it even just enhanced it even if we can entirely learn things on the Internet, humans will still prefer human-to-human interaction and the information helped much of the education another example is that, as an aspiring developer, you can learn coding by yourself searching free content on the Internet but mostly, either we will buy a course or enroll in a coding bootcamp and this practice stood the test of time of course, most employers will hire you if you graduated from a reputable bootcamp not just simply saying I learned everything from the Internet, same goes if you go to a legal advice or medical, would you allow an individual to simply treat your sickness just because he learned it from the Internet ? or give legal advice just because he learned it from the Internet ? of course not so AI will only helpe as much so that our work is totally efficient rather than spending 3-5 days writing boilerplate code or basic setup just to get your codebase working etc. |
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no at all because it still stand that AI need to be maintained by us humans and it us who train them so the answer is no,,, AI systems require ongoing monitoring, maintenance, and improvement, which often necessitate human intervention. Additionally, humans play a crucial role in the ethical development and regulation of AI technologies. and also it can vary according to the industry we are in... |
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AI won't take your job, but the person who becomes skilled in using AI certainly has the potential to replace you. Let's say there's a customer service representative whose job involves answering common queries from customers using an AI chatbot. Over time, the representative learns how the AI works and gains skills in programming and implementing chatbots. With this knowledge, they might develop their own customized chatbot tailored specifically to their company's needs. As a result, they could potentially replace the existing AI chatbot with their own creation, demonstrating how a person skilled in using AI could replace the initial AI tool. |
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Relax, man. This MIT study says while AI can automate some stuff, it's too costly for full replacement right now. More like a slow co-worker than a robot stealing your chakri. Time to upskill before AI takes over the boring stuff, though. |
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The researchers at MIT’s computer science and artificial intelligence laboratory studied not only whether AI was able to perform a task, but also whether it made economic sense for firms to replace humans performing those tasks in the wider context of the labor market.
They found that while computer vision AI is today capable of automating tasks that account for 1.6% of worker wages in the U.S. economy (excluding agriculture), only 23% of those wages (0.4% of the economy as a whole) would, at today’s costs, be cheaper for firms to automate instead of paying human workers. “Overall, our findings suggest that AI job displacement will be substantial, but also gradual—and therefore there is room for [government] policy and retraining to mitigate unemployment impacts,” the authors write.
Tasks like analyzing images from diagnostic equipment in a hospital, or examining trays to ensure they contain the right items, are given in the paper as examples of the kind of “vision tasks” that today’s AI could feasibly achieve. But tasks like these are often so fragmented, the authors argue, that it is uneconomical to automate them.
“Even though there is some change that is coming, there is also some time to adapt to it,” Neil Thompson, the study’s lead author, tells TIME. “It’s not going to happen so rapidly that everything is thrown into chaos right away
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