What is XIA or Explainable AI?
One of the most controversial aspects of Artificial Intelligence lies in the opaque processes through which this technology learns and makes decisions: the dreaded “black boxes.” These create distrust and fuel fears about progress so rapid that it could surpass human nature itself.
In this context, XIA (Explainable AI) emerges as an approach that promotes transparency and trust in AI. What began as a concern among specialists is now an urgent demand in the age of generative AI.
Why transparency in AI is indispensable
Every day, we rely on AI systems whose internal processes remain unknown: what parameters they use, how they reason, or which biases they carry. This trust is not only technical—it is also an ethical and legal requirement.
AI regulation is advancing at different speeds depending on the region, but the global trend points toward the same objective: ensuring that automated decisions can be audited, explained, and defended.
The legal and regulatory vision of XIA
Dr. Mariana Cortés, a specialist in Digital Law, affirms:
“Transparency in AI systems is not optional: it is a legal requirement in multiple jurisdictions. XIA makes it possible to audit and defend automated decisions before courts and regulators.”
This makes explainable AI a decisive factor for companies, governments, and users who must anticipate and comply with increasingly strict regulations.
XIA as a driver of trust in the digital era
Artificial Intelligence is no longer a laboratory experiment—it has become a transversal engine of modern life. However, for its impact to be positive, it is necessary to implement transparency mechanisms that avoid the risk of a technological leap into the void.
XIA is not an academic luxury or a technical whim: it is the key to restoring trust in AI and ensuring that this technology remains an ally rather than a threat.
Conclusion: Ally or black box?
Leaders, legislators, and users face the same dilemma:
Will AI be our conscious ally or an uncontrollable black box?
The answer depends on the implementation of approaches such as XIA, which not only bring trust but also define the path of responsible innovation. The decision cannot wait—the future is now.
