XAI (eXplainable Artificial Intelligence): a must-have for professional and sensitive use
Traditional IA goes against how humans take decision!
For example, in medicine, the patient journey is filled with explanations along the way, from diagnoses to treatment, follow-up, and more. If we were to replace part of these steps with non-explanatory algorithms, we could lose grip on vital aspects such as finding mistakes, patient trust, and even the creation of new knowledge.
XAI is the only way to initiate significant changes in sensitive areas such as health.
eXplainable Artificial Intelligence (XAI) aims to make algorithmic decisions understandable and transparent to humans. Unlike traditional AI models, which are often referred to as “black boxes,” XAI seeks to clearly explain decision-making processes based on an algorithmic process and AI components.
TRANSPARENCY
The systems must provide evidence or reasons to accompany each decision made.
CONFIDENCE
By explaining its decisions, XAI reinforces user confidence in AI systems, which is essential for their adoption.
RESPONSIBILITY
It encourages responsible decision-making by enabling users to identify and correct potential biases or errors in the models.
ACCESSIBILITY
The explanations must be adapted to the context and level of expertise of the users (e.g. doctors, researchers or patients).
XAI is an ultra-powerful concept that enables the adoption of AI on a large scale. But does this concept have to be realistic? And that is exactly what we are proposing: Ishinca offers a SaaS platform that makes it possible to reproduce understandable thought patterns, going beyond the black box. Our platform makes it possible to have this powerful innovation very simply and quickly.
