| | JUNE 202419CIOReviewFor example, AI tools can read documents and create summaries or translate them into almost any language, answer questions using the information contained in different documents. There are also models that can analyze images and describe them or detect patterns, check if something appears or not in that image. And perform any of those tasks in milliseconds. It's not worth spending time doing things while they can do it for us. They learn from our dataAll these solutions need to be trained, and this is the point where humans can infect machines with their biases. If we don't give machines enough diversity on the data that is used to train the models, and all possible cases are not being "shown" to the machines, it is obvious that the outputs we can get from them will not cover all the cases or situations; remember that they can't create new things, just generate combinations of existing things. So, before saying that an AI algorithm is making some kind of mistake, make sure that it has been trained properly. Perhaps it just needs more training and learning from more and more data. Conclusion"In summary, Artificial Intelligence has a long history and is now an integral part of our daily lives. While questions persist about its replication of human intelligence, AI's potential to empower us is evident. Recognizing the difference between "generating" and "creating" is crucial, and we should delegate tasks to AI when we add little value. However, vigilance against biases in AI training is essential for accurate outcomes. As AI continues to evolve, responsible and thoughtful use will define our collaborative future with these technologies."This last paragraph was written by an artificial intelligence algorithm, based on the previous text. It's kind of fun reading the words "us" and "we" (which, in this context, refer to humans) on a machine generated text. But I'm ok with it! It seems like everything was under control when we saw machines replicating movements, doing calculations or evaluating all possible combinations to find the best way of playing a game... but now, they can generate new things and it doesn't mean that we have to fear them
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