Inclusive and Sustainable AI: New Frontiers in Human-Centered Collaboration

The proposed research line focuses on the development of technology based on Artificial Intelligence (AI) and Large Language Models (LLM) from an inclusive and sustainable perspective, seeking to advance how these technologies can be improved along with human-computer interaction (HCI). This line addresses several key aspects, such as:

Cognitive Accessibility [NLP, AI & HCI]

Research and development of Natural Language Processing (NLP) and Artificial Intelligence (AI) technologies for text simplification, with the goal of making textual content more comprehensible systematically and automatically. Our expertise is particularly highlighted in working with people with cognitive limitations, such as individuals with intellectual disabilities and the elderly, among others. We began our work using more traditional NLP methods, evolving towards the use of transformers and, finally, to Large Language Models (LLMs) that we apply today.

Access2Citizen (Sensory and cognitive accessibility in the communication and management of the public telematic and telephone services)

Accessibility in technologies for citizens of the public sector currently entails accessibility barriers for people with disabilities. The Public Administration (AAPP) despite having a history of actions in accessibility with its consequent progress, currently does not mostly comply with the accessibility regulations and does not respond to the needs of all citizens with disabilities.