Validated Artificial Intelligence: Sociological Contribution to a Positive Impact of Artificial Intelligence

In scientific and social forums, there is significant debate about the social impacts, both positive and negative, of Artificial Intelligence (AI) and Generative Artificial Intelligence (GAI). However, so far, no scientific research has been conducted to provide clear guidelines for mitigating the negative effects without compromising the benefits of AI. Sociology is making the key contribution to this endeavour.

Through the communicative methodology, focus groups have been conducted in which participants analyzed and discussed documentation showing the effects of AI application. These analyses were linked to the monitoring of the Sustainable Development Goals (SDGs), with particular emphasis on SDG 8. This goal proved to be especially significant during the discussions, as it generates the highest number of both positive and negative effects in the reviewed documentation.

The results indicate that the negative effects can be offset by the positive effects, which can be enhanced when based on scientific evidence that helps avoid bias and ensures that the generated information is accurate and reliable. For this, it is essential to use Validated Artificial Intelligence (VAI) and Validated Generative Artificial Intelligence (VGAI) (Pulido et al., 2023), as these tools can scientifically verify and validate both the provided and produced data, ensuring they are free from bias and aligned with accuracy and reliability standards. Thus, the research proposes an approach aimed at maximizing the benefits of AI application. This implies focusing on the positive and normative aspects of its implementation, avoiding "Luddite" arguments that, by opposing technological progress, may slow development and limit the positive effects AI can generate.