Needs to be addressed:
In the current landscape of artificial intelligence, many machine learning models operate as "black boxes," where internal processes and decisions made are opaque and difficult to interpret. This lack of transparency creates distrust and limits the adoption of AI in critical sectors such as medicine, finance, and law, where explainability and traceability are essential to comply with regulations and ensure safety and ethics. There is an urgent need to develop tools that break down and help understand how learning models reach their conclusions, especially in applications where decisions have a significant impact on people's lives.
Opportunities offered by the project:
The project offers the opportunity to revolutionize the interpretability of learning models by introducing a mathematical tool that turns "black boxes" into traceable and explainable systems. By focusing on an alternative learning model to artificial neural networks, it opens up an underexplored market niche with the potential to set new industry standards. The tool will enable the integration of AI into critical systems that currently cannot use these technologies due to the lack of transparency, thus expanding the reach and applicability of artificial intelligence in various sectors. Additionally, by meeting the growing demand for explainability in AI, the company can position itself as a leader in ethical and responsible solutions.
Importance for business development:
For the company, this project is essential to accelerate its market entry and strengthen its financial position. By offering an innovative solution that addresses a key limitation of current AI, the company can differentiate itself from competitors and attract clients who require high levels of trust and responsibility in their systems. The ability to integrate the tool into critical systems not only expands the target market but also allows for faster and more sustainable revenue generation. This financial and reputational boost is crucial to support the main research and development line in Artificial General Intelligence (AGI), consolidating long-term business growth and stability.
