Academic Publications Supporting Human AI: EvidencIA at the Service of People
Academic Publications Supporting Human AI: EvidencIA at the Service of People
Evidence at the service of people
The artificial intelligence that powers Human AI is not the result of intuition, but of evidence. Our technology has been developed, applied, and validated in real contexts, generating results that are now part of scientific and academic publications. From book chapters to presentations at international conferences and research studies, this compilation reflects a solid, rigorous, and deeply human model.
Below, we present a selection of academic publications that scientifically support our technology for assessing and developing socio-emotional competencies through natural language. You can access all of them directly from this article.
1. An innovative model in education: the Jesuitinas Pamplona School case
This chapter presents the implementation of the MEDAP model at Jesuitinas Pamplona School, where Human AI was applied as a socio-emotional assessment tool based on the analysis of students’ written texts. The experience made it possible to generate personalized reports and improve both student wellbeing and academic performance.
Read the full publication
2. Assessing key entrepreneurial competencies with AI
Book chapter | Dykinson (2024)
A study analyzing how Human AI’s artificial intelligence can be applied to identify the most relevant socio-emotional competencies in entrepreneurial profiles. It combines scientific evidence with expert consultation through the Delphi method.
Read the full publication
See the project summary on the Human AI blog
3. Vocational education and socio-emotional development: a success case
Book chapter | Dykinson (2024)
This chapter presents the experience of applying Human AI in the field of Vocational Education and Training, demonstrating how standardized AI-based assessment can guide and strengthen employability.
Read the full publication
4. AI in organizations: session with the College of Psychology of Asturias
Presentation | COPPA, January 2025
Presentation of Human AI as an innovative solution for assessing socio-emotional competencies, during a session focused on the ethical use of AI in workplace and organizational environments.
Watch the session on YouTube
5. Innovative educational models: the Jesuitinas Pamplona experience
Conference paper | 3rd International Congress Education and Knowledge (2024)
A complementary version of the Jesuitinas case, presented as an educational best practice at an international conference, focused on the holistic development of students.
View the publication on ResearchGate
6. Entrepreneurship and objective competency assessment: a mixed approach
Presentation | CIEE Congress, Egregio (2024)
Research linking the entrepreneurial personality profile with the 35 socio-emotional competencies of the OCEAN model. Human AI is presented as a tool capable of evaluating them without relying on traditional tests.
Read the full publication
7. Gender, self-perception, and entrepreneurship: a critical perspective
Presentation | CIIDES Congress (2024)
This study explores biases in self-perceived entrepreneurial confidence between men and women and shows how Human AI can provide an objective assessment that overcomes these biases.
View the publication on ResearchGate
8. AI and employability: new pathways for career guidance
Presentation | Conference on educational sustainability (2024)
An analysis of how artificial intelligence can support personalized guidance for VET students, improving their labor market integration through the development of socio-emotional skills.
View the publication on ResearchGate
9. Assessing personal development in students: AI as a facilitator
Presentation | ICON-huma 2023
Research positioning artificial intelligence as a complementary tool for supporting students throughout their educational journey, contributing to their academic, professional, and personal development.
View the publication on ResearchGate
10. Artificial intelligence and mental health: the PersonIA study
Scientific poster | XXVII National Congress of Psychiatry (2024)
This scientific communication presents results from the PersonIA study, which aims to validate an AI model capable of assessing personality in people with common mental disorders. The research, led by Dr. Manuel Martín and carried out in collaboration with healthcare and academic institutions, demonstrates the potential of AI to generate more personalized, accessible, and human-centered assessments.
Learn more about the study on our blog
11. Beyond the classroom: Human AI as a catalyst for socio-emotional development and decision-making
Conference | Itínere Network (June 2025)
The Itínere Educational Network, with presence in Argentina and Uruguay, has incorporated Human AI to support students’ Personal Life Projects. The platform has been applied at key stages of secondary education (3rd and 6th year), generating personalized reports based on reflective texts. This intervention has strengthened self-knowledge, encouraged introspection, and provided guidance teams with new pathways for ethical and pedagogical support.
An experience that confirms the value of emotional language in educational and personal decision-making.
Read the full publication on ResearchGate
12. Transforming VET through the human dimension: artificial intelligence serving socio-emotional development
Conference | CIFP Carlos III (June 2025)
The CIFP Carlos III Vocational Training Center in Cartagena has integrated Human AI into two innovative projects: an employability index based on socio-emotional competencies (IPIL) and the “BE OK” emotional wellbeing program. Human AI enables the generation of personalized reports aligned with the OECD model and the EU’s ESCO classification, supporting educational, training, and vocational decision-making.
The experience shows that the development of these competencies significantly improves employability, school climate, and student mental health.
Read the full publication in PDF
13. Student-centered innovation: the Irabia-Izaga School case
Case study | Navarra (June 2025) – International Congress: Humanities and Knowledge
Irabia-Izaga School has adopted Human AI as a socio-emotional competency assessment tool to strengthen its person-centered educational model. The technology has been implemented as part of individualized student support, integrated into mentoring and guidance processes.
The analysis of texts written by students has made it possible to identify strengths and areas for improvement, encourage personal reflection, and enrich the educational relationship between teachers and students.
14. Ethical governance of artificial intelligence: from technological design to organizational responsibility
Book chapter | Tirant lo Blanch Publishing (2025)
In this chapter, Human AI Tech addresses a central challenge of our time: how to integrate ethics into the very architecture of artificial intelligence systems. Under the title “From Innovation to Governance: Human AI as a Tool for the Ethical Management of Human Development,” it proposes a model that combines AI-based socio-emotional assessment, risk management, security-by-design, and organizational responsibility.
The publication analyzes the transition from traditional evaluation models to approaches based on artificial intelligence and psycholinguistics, as well as the need to incorporate clear governance frameworks when technology impacts educational, professional, and personal decisions.
An interdisciplinary contribution that positions ethics not as an add-on, but as essential infrastructure for building trust, sustainability, and human development.
15. Socio-emotional competencies and artificial intelligence: a model to boost employability and wellbeing in vocational education
Book chapter | Octaedro Publishing (2025) – Contemporary Perspectives on Education: Research, Experiences, and Reflections
This chapter presents the experience of the CIFP Carlos III Center in Cartagena (Spain), which has integrated Human AI Tech’s artificial intelligence into an educational model focused on developing socio-emotional competencies as a foundation for employability and wellbeing.
Through the IPIL and BE OK projects, the center implemented an AI assistant capable of assessing 35 socio-emotional competencies through the analysis of natural language texts. This methodology provides objective, rapid, and contextualized evaluations, overcoming the limitations of traditional self-report methods.
The results show significant improvements in students’ competency development, highlighting communication as a key skill for labor market integration and personal growth.
An experience confirming that socio-emotional competencies can be trained and should occupy a central place in vocational education to align learning, wellbeing, and professional futures.
16. Personality traits in female entrepreneurship: assessment through natural language using artificial intelligence
International study | Frontiers in Education (2026)
This multi-country study in higher education, developed within the RedWINN network (CYTED), analyzes personality traits associated with entrepreneurship through natural language using artificial intelligence and psycholinguistics.
Based on an international sample of 409 students from six universities, the research identifies consistent patterns between certain personality traits—such as openness, conscientiousness, and emotional stability—and profiles associated with entrepreneurship. It also highlights differences in how these traits are linguistically expressed by women, emphasizing a stronger relational, collaborative, and purpose-driven dimension.
The study provides relevant evidence to advance toward more precise and inclusive models for identifying and developing entrepreneurial talent, aligned with diverse leadership styles.
A team committed to science and human development
These publications are only a small sample of the work behind each of our technological applications. At Human AI, we remain committed to rigorous, validated, and human-centered artificial intelligence.
But behind this technology there is something even more important: a human team that researches, designs, evaluates, and applies this technology in real contexts.
We would especially like to thank those who have participated in the studies, applied experiences, and validations that provide the scientific foundation for our model.
Human AI research team
Iñigo Benito, Juan Antonio Tuñas, Beatriz Abad-Villaverde, María Beúnza, Francisco Malavé.
Educational centers for applied research and co-design
Jesuitinas Pamplona School (Navarra), Irabia-Izaga School (Navarra), CIFP del Mar (Gijón), CIFP Carlos III (Cartagena), Itinere Educational Network, Agustinos Schools, University of Navarra, Universidad de los Hemisferios, UPSA, USAT, Universidad de la Sabana, Universidad Siglo21.
Teachers involved in applied research and co-design
Roncesvalles Orbaiceta, Ángel Estanga Goñi, Javier Sánchez Piquero, Roberto Suárez Malagón, Indalecio Estrada Lozano, Fernando García Fernández, Cristóbal Sánchez Sánchez, Susana Giambruni, Gabriela García, Mónica Garay.
Healthcare centers and scientific institutions collaborating in our research lines
Aita Menni Hospital and Hermanas Hospitalarias (Manuel Martín, Paula Muñoz, Ana Domínguez), Navarra Health System (Adriana Goñi, Pilar Luna), University Clinic of Navarra (Raquel Martín, Arturo Lecumberri), Gregorio Marañón Hospital (PI Francisco Ferré), University Hospital of Vitoria (PI Ana González Pinto).
University of Navarra: Horacio Grass, Juan Carlos Hernández, Iván Cordón (DATAI), Elkin O. Luis, Martín Martínez (MIPAC), Faculty of Education (PI Elena Arbués), María Cruz Díaz de Terán, Dámaso Izquierdo (ICS), Innovation Factory (Belén Goñi).
MILA: Marc-Antoine Dilhac
UNED: Juan Carlos Pérez-González
Thank you for contributing science, innovation, and humanity every step of the way.
This journey is not one we walk alone: we do it as a network, together with institutions committed to ethical, useful, and transformative AI.