From innovation to trust
Artificial intelligence has become a widely used tool in the production of academic knowledge and in the development of research in all disciplines.
However, its true value is only achieved when its use is governed by principles of transparency, responsibility and respect for scientific integrity.
This section presents the context for why the explicit declaration of the use of AI in research work and its proper governance are inseparable from rigorous and ethical academic innovation.
02
Promoting public acceptance
Transparency and explainability are not optional; they are the foundation of mass adoption. Users and investors actively seek technologies they can understand and fully trust.
01
Mitigation of institutional risks
Avoiding algorithmic failures not only protects users but also prevents reputational damage, regulatory fines, and the erosion of public trust. An ethical framework acts as an insurance policy for innovation.
03
Long-term sustainability
Ethical AI is designed to be future-proof and adaptable to new regulatory and social environments. It ensures that the technology benefits all of society in a lasting way.