Companies, like people and processes, must be transformed at the pace set by technology and markets that are continually advancing and evolving. As a result, more and more organizations are using AI-based automation tools and software to make their workforces more productive and efficient.
Marco Arevalo’s opinion about innovation as a key element to make a business more competitive (in terms of innovation in AI), is that “the combination of RPA and AI allow, on the one hand, an improvement in completion times of jobs that today require human intervention and, on the other, the addition of a reasoning component in the activity.” Marco points out that “the software learns to make the most appropriate decisions considering (a) its previous training and (b) the changes in the environment and that, therefore, productivity is favored (lower numbers of errors, fewer maintenance stops, less need for management…).” According to Marco, “people will be able to use their talent where no application can be more efficient.”
To understand what the future lines of action to be carried out in the sector will be, Marco explains the field of Artificial Intelligence from an anthropological perspective according to which “under the umbrella of AI, there are articulated devices (arms, hands , feet, exoskeletons…), vision systems (the eyes and the ability to interpret what they perceive), speech recognition (the ears and the brain capable of understanding meaning, also in different languages), language processing natural (reasoning, the ability to choose, the ability to infer, to abstract), memory (the universe of memories, what has been learned, prejudices), expert systems (experience, technique, logic).”
Therefore, he concludes that “the lines of action in AI will be all those that lead to a greater approximation of the capabilities of the technique to develop improved anthropological behaviors: see more, hear better, speak multiple languages, greater capacity for analysis, greater capacity for abstraction, greater knowledge in concrete matters…”
In reference to whether there are biased behaviors in the decisions made by machines and in their trust in them to make decisions between what is best and what is convenient, Marco believes that all of this has important ethical implications and that the debate is on the table: “The EU is working on Ethical Guidelines for trustworthy AI. The legal, ethical, technological and environmental dimensions are addressed,” he says.
