The stench of the garbage content emanating from the AI ​​also infesses work environments

Even though artificial intelligence (AI) is our daily bread in increasing companies, the truth is that the massive use of fashion technology in work environments does not have too many positive effects (rather the opposite). According to a MIT Lab study, 95% of the companies that have already been thrown into the AI ​​arms confess that this technology has not reported any really measurable positive results.

Although companies are currently invested between 30,000 and 40,000 million dollars in AI, the benefits emanating from this technology are even rather. But, Why did IA, so much promised to spur productivity within companies, are not throwing green outbreaks in labor environments? Mit Media Lab has allied with Betterup Labs to try to look for answers to this question in an investigation echoes Harvard Business Review.

According to the authors of the study, in the same way as in social networks every more digital garbage (“ai smop”) abounds as a consequence of the frank entry into the AI ​​scene, In labor environments an analogous phenomenon is also taking place that responds to the denomination of
«workslop».

Of the “AI Slop” on social networks to “workslop” in work environments

With the term “workslop” the researchers refer to Documents generated with AI (texts, reports or presentations) that are rapidly generated with the support of fashion technology and whose quality is apparently good, but it really leaves much to be desired. The profusion of the so -called “workslop” translates into the fact that those who must work on this type of documents should often rebuild them almost completely, which in the end in a more than remarkable productivity within companies.

Within the framework of the investigation undertaken by MIT Media Lab and Betterup Labs, more than 1,000 workers in the United States and 40% confirmed that they had been confronted with “workslop” during the last month. The junk content born from the entrails of the AI ​​also affects all the levels within the companies, from directors to supervisors, through subordinates.

Those who have to fight in the performance of their work with documents assigned to the category of “Workslop” must first decipher the content of such documents and then decide what to do with them. In the worst case, the “workslop” documents have to start from scratch and repeat a task that was already allegedly finished.

Sometimes, and because of the “workslop” documents, employees also decide to return the documents to request a new version, which again encourages a delay in workflows and It ends up shaking productivity within companies (With the costs that this brings).

The “workslop” undermines productivity and also translates into large costs for companies

Researchers estimate that the phenomenon of the “workslop” costs companies up to 186 dollars each year. And the largest -sized companies associated with the “workslop” often reach several million dollars.

The problem of “workslop” is, however, beyond extra costs and Ultimately undergoes the moral of employees and the collaboration within the work teams.

Those who have to deal in the first person with the “workslop” “often react angrily and feel confused and even personally attacked, which It leads them to radically change the perception of their work colleagues.

Workers who generate garbage content with the help of AI are contemplated by approximately 50% of their colleagues as less creative, less capable and less reliable. And also, but to a lesser extent those who give wings to the “workslop” in work environments are perceived as less intelligent and less worthy of trust. In addition, a third of the employees consulted within the framework of the investigation confesses that it would prefer to work less in the future with those who give bellows to the “workslop” with the collusion of AI.

Although the conclusions of the study are soon a quite discouraging boat, the truth is that The authors themselves remain important to “bad reputation” that the misuse of AI could earn those who use this technology in labor environmentssince in this type of contexts there have always been less enthusiastic and less capable people.

To tackle this problem, the authors of the research suggest that the management teams of the companies should develop Specific policies to make proper use of AI and properly train its employees based on such policies.