Profissões mais expostas à Inteligência Artificial: jornalistas, contabilistas e auditores lideram lista.

A recent study by OpenAI, the company behind the ChatGPT, analyzed the professions most exposed to artificial intelligence (AI). Researchers took into account the characteristics of chatbots with AI, and from there, the Brazilian website Tilt analyzed the Brazilian Classification of Occupations (CBO) and the American O*Net classification to list the attributes of various professions.

According to the data, occupations related to programming and writing are the most susceptible to automation. Journalists, accountants and auditors, administrative assistants, and legal secretaries are among the professions with 100% exposure to AI. On the other hand, manual labor jobs, such as agricultural machine operators, dishwasher operators, and mechanics, are among the least exposed to AI.

However, Christopher Pissarides, the winner of the 2010 Nobel Prize in Economics and a professor at the London School of Economics, believes that there will not be a complete substitution of careers by machines. He has a more positive view of AI and believes that it will be possible to adapt quickly to chatbots and that technology can eliminate many “boring things” from work, leaving only interesting things for humans to do.

Pissarides also emphasizes that with AI, it would be possible to increase overall well-being at work and have more leisure time. In a conference in Glasgow, for example, the economist even stated that with ChatGPT, it would be possible to easily adopt a four-day workweek.

The advancement of technology raises frequent questions about the risks posed to the job market and whether careers will actually be replaced by machines. While the risk of substitution is real for some professions, slower adoption by companies and the possibility of adaptation can mitigate these risks. In addition, AI can improve productivity and overall worker well-being, depending on how it is adopted.

It is noteworthy, however, that not all AI-generated changes arepositive. A recent study by the University of Copenhagen, Denmark, suggested that in some cases, the use of AI algorithms may lead to discriminatory decisions. Researchers tested a sentence generation tool for different languages that was dependent on artificial intelligence and found that the tool often led to the perpetuation of biased statements.

The study analyzed 6,000 sentences generated by the AI algorithm, which were then evaluated by more than 3,000 people across seven cultural groups. The results showed that offensive language went unnoticed or was accepted in many cultures. The study’s authors concluded that AI-generated language may unintentionally or intentionally discriminate against people with a non-dominant language or culture.

The study highlights the importance of properly testing and monitoring AI-generated content and ensuring that it does not discriminate against underrepresented or historically disadvantaged groups.

Another concern regarding the rise of AI in the workplace is their impact on job recruitment processes. A recent study by Cornell University in the United States found that companies are increasingly relying on AI algorithms to filter and rank job applications. However, the study showed that these algorithms may be reinforcing gender and racial stereotypes.

Researchers analyzed data from a recruitment company that used an AI algorithm to rank candidate applications based on a set of keywords. The results showed that the algorithm favored male candidates and ranked female candidates lower, reinforcing gender stereotypes. In addition, the algorithm also ranked resumes from applicants with “white-sounding” names higher than those with “black-sounding” or “Hispanic-sounding” names.

The findings suggest that AI algorithms can perpetuate systemic biases and inequalities in the recruitment process. While companies must acknowledge and act to address these risks, it is also necessary to monitor and improve these algorithms’ transparency and accountability.

Finally, the adoption of AI in the workplace must consider not only the technical aspects but also the ethical and social implications. While AI can improve productivity and worker well-being, it can also reproduce societal biases and inequalities. Therefore, it is crucial to integrate ethical and social considerations into AI development and implementation.

In conclusion, the rise of AI in the workplace poses both opportunities and risks. While AI can improve productivity and worker well-being, it can also reproduce biased and discriminatory practices. Therefore, it is crucial to address these risks and ensure that AI is developed and implemented ethically and inclusively.