As highlighted by the CEO of Vert Analytics and technology specialist, Andre de Barros Faria, digital ethics has become one of the most relevant topics in today’s technological landscape, especially in light of the growth of automated decisions in companies and public services. Algorithms already participate in strategic processes, financial analysis, customer service, and data management, bringing efficiency and scalability. However, this evolution also raises questions about responsibility, transparency, and social impact.
In this article, you will understand the main ethical challenges of automated decisions, how to balance innovation and governance, and why the human role remains essential to ensure more conscious and sustainable choices.
Why Do Automated Decisions Require a New Ethical Approach?
The advancement of artificial intelligence has expanded organizations’ ability to analyze data and make strategic decisions, while also introducing new responsibilities. In this context, Main, from Vert Analytics, integrates AI agents into teams to automate tasks, solve complex demands, accelerate services, and reduce operational costs, freeing professionals to focus on higher-value activities.
Decisions based exclusively on algorithms can reproduce biases present in the data used to train them. When this happens, the impact can affect everything from customer experience to professional opportunities and access to services. According to Andre de Barros Faria, CEO of Vert Analytics, digital ethics emerges precisely to question how these decisions are constructed and which criteria should guide the use of technology.
Moreover, the speed of digital solutions often exceeds the capacity for critical evaluation. Companies that adopt a strategic posture must consider not only technological benefits but also the risks associated with automation without proper oversight.
How Does Artificial Intelligence Influence Strategic Choices in Companies?
The presence of artificial intelligence in business has expanded analytical and predictive capabilities. Intelligent platforms assist in defining marketing strategies, assessing risks, and personalizing products, making processes more efficient. However, when automated decisions begin to directly influence individuals and communities, the need to establish clear boundaries arises.
As emphasized by Andre de Barros Faria, the influence of algorithms on corporate strategy requires strong governance. Leaders must understand how decisions are generated and which criteria guide technological recommendations. Without this understanding, there is a risk of delegating important choices to systems that do not consider human and social factors.
What Are the Main Practical Challenges of Digital Ethics?
One of the greatest challenges of digital ethics lies in interpreting results generated by algorithms. Automated systems may present seemingly objective answers, but they do not always reveal the criteria used to reach a particular conclusion. This lack of clarity makes it difficult to identify potential failures or distortions. Therefore, it becomes essential for leaders to adopt a critical stance toward automated analyses, evaluating contexts and impacts before validating strategic decisions that may affect people and processes.
Data protection also plays a central role in this debate. As data collection increases, so does the responsibility of companies to ensure privacy and digital security. Automated decisions must respect legal limits and ethical values, avoiding invasive or discriminatory practices. In addition, clear internal policies and well-defined governance processes help strengthen user trust and consolidate an organizational culture guided by digital responsibility.
In summary, Andre de Barros Faria points out that digital ethics and automated decisions go hand in hand in the future of business. By integrating technological innovation with human responsibility, organizations can transform algorithms into strategic allies, promoting efficiency without sacrificing transparency and respect for people. This balance contributes to more sustainable management models, in which technology drives results while preserving essential values in professional and social relationships.
Author: Diego Rodríguez Velázquez
