The theory circulates among technology experts that wave AI, which has garnered attention and relevant investments, has demonstrated characteristics of a new “bubble”, as it has happened in the past with other solutions.The explanation lies in the fact that the same movement occurred with the Internet in 1999 and with autonomous driving cars in 2017, claiming that the “dot AI”, as the new bubble has been called, it will possibly have even greater economic effects than its predecessors.
The tech experts base their opinions at a fundamental point that has not yet been solved in the use of AI: reliability. “As a clear example of this deficiency, many users of tools with GPT-4 language claim false facts completely invented by language models and that can go unnoticed by the user, becoming the Aquiles heel of this still emerging technology”, explains Gabrielle Ribon, an innovation advocate and Master of Innovation and Entrepreneurship at the University of Edinburgh.
Ribon, who works in the financial market with a focus on new products and technologies, besides being a Creative Technologies specialist at Miami Ad School, says that “se this crucial point cannot be solved, the technology is useless, since it does not fulfill its” function.
In addition, training and maintaining AI models consume a relevant amount of energy. This information is confirmed by the statement that the Google saw a nearly 50% increase in carbon emissions compared to 2019, precisely because of the expansion of data centers to maintain artificial intelligence systems.
“A concern about the possibility of a crisis related to the technology, banking and energy sectors due to market speculation comes at a hot time of the use of this technological modality, since a good part of the industries and services have been looking for ways to incorporate machine learning tools in their” activities, warns the expert.
Among these industries, there is a main highlight for the financial market.In Brazil, Febraban, the main representative of the national banking sector, has advocated the use of AI in the sector and the economy as a whole, focusing on the defense of ethical and responsible employment of this solution.
According to Gabrielle Ribon, the market interest in artificial intelligence is inevitable, considered an exponential technology focused on the analysis of large volumes of data. “A promise to increase productivity by assisting in the execution of repetitive tasks and identification of patterns, is tempting. However, it will be crucial to solve the reliability problem, since false information is not useful to improve processes and make strategic decisions. It is necessary that the market and users carefully evaluate the progress and use of this technology in order to avoid significant economic and environmental impacts”, concludes.
