In 2022, the launch of GPT Chat, created by the company Open AI, popularized the term “artificial intelligence”. This is an old concept whose applications have been studied since the middle of the 20th century. The type of artificial intelligence popularized in recent years is the “generative” type (GenIA), capable of understanding requests made in natural language and creating content in the form of text, images and videos. In addition to this type, there is predictive AI, which seeks to predict future events based on historical data.

The use of technology is already transforming various industries. With generative AI, it is possible, for example, to achieve efficiency gains in operational activities such as customer service and content creation. In more strategic areas, such as risk control, predictive AI has the potential to improve the predictive capacity of credit risk and fraud assessment models, aiding decision-making.

Data from the Banking Technology Survey, The survey, carried out by Febraban with Brazilian financial institutions, shows that 74% reported cost savings and efficiency gains in the execution of routine tasks with the application of artificial intelligence tools. For 63%, this technology has already improved fraud detection and prevention.

The advance in the ability to analyze data was mentioned by 58%. Faced with the abundance of data generated by the digitization of human activities, the great challenge is to transform these inputs into information that guides economic and social operations. Artificial intelligence appears in the survey as a vector for efficiency and personalization of solutions.

The credit bureau sector deals with databases that are among the largest in Latin America. Transforming this data into useful information for analysis, fraud risk measurement and customer prospecting requires rapid progress and the use of artificial intelligence technology has proven to be very strategic in this segment.

It's worth noting that the sector has been successfully using Machine Learning technology for over 20 years. I have participated in several international events and have been following the use of Machine Learning in credit bureaus, ranging from agents to code generation and database sanitization. Among the main applications observed in Brazilian bureaus is the immediate updating of the credit note, which benefits both the consumer and the creditor. AI is also widely used to study behavioral patterns in order to identify fraud attempts. In internal areas, the optimization of data modeling routines makes it possible to significantly reduce the costs and deadlines for developing statistical models, while at the same time improving predictive capacity.

One of the challenges pointed out by the G20 for the financial inclusion of small businesses is the fact that these companies demand fewer resources while requiring a greater or equal effort from traditional credit analysis , This makes these operations less advantageous. In this sense, the application of artificial intelligence to automate credit granting processes reduces the costs of these operations, increasing access to credit for small businesses.

Finally, it's worth noting that the potential of technological progress can only be realized in a favorable regulatory environment. In 2024, the European Union approved the first regulation of artificial intelligence, called the “AI Act”. Several countries, including Brazil, are now discussing their own regulatory model.

In order to establish legislation, Artificial Intelligence must be very well defined, in order to separate it from other less complex computer systems that already exist. There are two approaches: principled and rule-based. Cultural aspects must always be considered in regulation. Market, consumer and regulator have different understandings and concerns. Dialogue between the parties is imperative for a balanced legal framework.

Just as the internet brought about the digital revolution, AI brings about the cognitive revolution. It's another advance in civilization. Perhaps the more appropriate term for what we call AI-Artificial Intelligence should be IE-Expanded Intelligence.

So far I've covered the technical-structural aspects. Another strategic dimension is psychosocial. Transformation starts with people. How can this transition be made? ANBC began this process in October 2024 and continues to exponentialize its performance and impact. Depending on your interest in this article, we can continue this conversation.

The credit bureau sector has acted on important regulatory milestones, such as the General Data Protection Law, and continues to pay close attention to proposals to regulate AI because it believes that technological progress has a lot to contribute to the financial inclusion of companies and consumers.