MAY 2025

VOlUME 04 ISSUE 05 MAY 2025
Human Augmentation and Generative AI: Synergies, Challenges, and Strategic Directions
1Noé Chávez-Hernández, 2Beatriz Sauza-Ávila
1Tecnológico Nacional de México – TES de Coacalco
2Universidad Autónoma del Estado de Hidalgo
DOI : https://doi.org/10.58806/ijsshmr.2025.v4i5n01

Google Scholar Download Pdf
ABSTRACT

Technological advancements are reshaping the relationship between humans and machines, with human augmentation and Generative Artificial Intelligence (AI) emerging as transformative forces. This study explores the intersection of human augmentation and Generative AI, examining their conceptual foundations, interconnections, contributions, benefits, challenges, and strategic considerations for implementation. The research focuses on how Generative AI enhances human capabilities across multiple domains, including accessibility, education, creativity, and decision-making, by processing large datasets and generating innovative solutions. A qualitative documentary analysis was conducted, synthesizing recent literature to identify patterns, trends, and gaps in the field. Key findings reveal that Generative AI complements human abilities by improving efficiency, personalizing experiences, democratizing access, and reducing cognitive load. However, challenges such as biases, contextual limitations, and ethical concerns highlight the need for multidimensional strategies, including algorithmic transparency, robust data protection, interdisciplinary collaboration, and digital literacy programs. The study concludes that the symbiotic relationship between Generative AI and human augmentation has significant transformative potential, provided that technical, ethical, and social challenges are effectively addressed. Future research should evaluate the long-term impacts of this convergence on skill development, productivity, and well-being.

KEYWORDS:

Human augmentation, Generative AI, Interdisciplinary collaboration, Technological symbiosis

REFERENCES

1) Aguado-Terrón, J.M. & Grandío-Pérez, M.M. (2024). Hacia una ecología mediática de la IA Generativa: La obra creativa en la era de la automatización. Palabra Clave, 27(1), e2718. https://doi.org/10.5294/pacla.2024.27.1.8

2) Alali, R. & Wardat, Y. (2024). Opportunities and Challenges of Integrating Generative Artificial Intelligence in Education. International Journal of Religion, 5(7), 784-793. https://doi.org/10.61707/8y29gv34

3) Albaroudi, E., Mansouri, T. & Alameer, A. (2024). The Intersection of Generative AI and Healthcare: Addressing Challenges to Enhance Patient Care. En A. Rehman y A. Taher-Azar (Eds.), Seventh International Women in Data Science Conference. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/wids-psu61003.2024.00039

4) Anthropic (2025). Claude (April 2nd Version) [Large Language Model]. https://www.anthropic.com/claude

5) Artopoulos, A. (2023). Imaginarios de IA Generativa en educación. Chatbots que enseñan, bicicletas eléctricas y el quinto Beatle. Revista Hipertextos, 11(19), e070. https://doi.org/10.24215/23143924e070

6) Bail, C.A. (2024). Can Generative AI improve social science? Proceedings of the National Academy of Sciences of the United States of America, 121(21), https://doi.org/10.1073/pnas.2314021121

7) Berlanga-Llavori, R. (2024). Del ArsMagna a la inteligencia artificial generativa. Revista de Senología y Patología Mamaria, 38(3), 1-7. https://doi.org/10.1016/j.senol.2024.100663

8) Canavera, Julien (2022). El hombre aumentado, ¿última fase de la antropogenia neoliberal? Recerca. Revista de Pensament i Anàlisi, 27(1), 1-24. http://dx.doi.org/10.6035/recerca.5772

9) Castillo-Martínez, K., Aguilar-Rodríguez, J.A. & Madrigal-Rentería, A.S. (2024). Desafíos éticos de la inteligencia artificial generativa en las nuevas formas organizacionales. Revista Digital de Tecnologías Informáticas y Sistemas, 8(1), 46-55. https://doi.org/10.61530/redtis.vol8.n1.2024.209

10) Chan-Núñez, M. E. (2024). Sumando inteligencias: el desarrollo de capacidades humanas con el uso de IA Generativa. Trayectorias Universitarias, 10(19), 1-14. https://doi.org/10.24215/24690090e170

11) Chaves-Muñoz, G.V. (2025). Psicología en la era digital. IA y otras tecnologías aplicadas. Ecoe Ediciones.

12) Contreras-Ruiz, M. A., Ochoa-Carrasco, I. & Chao-Rebolledo, C. (2024). Inteligencia artificial con perspectiva humanista. DIDAC, (84), 132–142. https://doi.org/10.48102/didac.2024.84_JUL-DIC.219

13) De Boeck, M. & Vaes, K. (2021). Structuring human augmentation within product design. In O. Isaksson (Coord.), Proceedings of the International Conference on Engineering Design (ICED21). Chalmers university of technology in Gothenburg and the Department of the Industrial and Materials Science https://doi.org/10.1017/pds.2021.534

14) De Boeck, M. & Vaes, K. (2024). Human augmentation and its new design perspectives. International Journal of Design Creativity and Innovation, 12(1), 61-80. https://doi.org/10.1080/21650349.2023.2288125

15) Dellepiane, P. (2023). Artificial. La nueva inteligencia y el contorno de lo humano. Revista Iberoamericana de Tecnología en Educación y Educación en Tecnología, (37), https://doi.org/10.24215/18509959.37.e24

16) Eapen, T. T., Finkenstadt, D. J., Folk, J. & Venkataswamy, L. (2023). How Generative AI Can Augment Human Creativity: Use it to promote divergent thinking. Harvard Business Review, 101(4), 56-64. https://hbr.org/2023/07/how-generative-ai-can-augment-human-creativity

17) Fuertes-Alpiste, M. (2024). Enmarcando las aplicaciones de IA Generativa como herramientas para la cognición en educación. Pixel-Bit. Revista de Medios y Educación, 71, 42-57. https://doi.org/10.12795/pixelbit.107697

18) Gallent-Torres, C., Zapata-González, A. & Ortega-Hernando, J.L. (2023). El impacto de la inteligencia artificial generativa en educación superior: una mirada desde la ética y la integridad académica. Revista Electrónica de Investigación y Evaluación Educativa, 29(2). https://doi.org/10.30827/relieve.v29i2.29134

19) García-García, E. y Barrón-Villaverde, D. (2023). Inteligencia augmentada. Origen, valor y perspectivas de futuro. Ciencia Nicolaita, (88), 203-210.

20) Guerrero, G., Da Silva, F.J.M., Fernández-Caballero, A. & Pereira, A. (2022). Augmented Humanity: A Systematic Mapping Review. Sensors 2022, 22(514), 1-24. https://doi.org/10.3390/s22020514

21) Hervás-Gómez, C., Martín-Gutiérrez, A., Domínguez-González, M.A., Manzanares-Castillo, C., Gabriela-Neagu, S. y, Teodor-Grosu, V. (2024). Transformando la educación inclusiva: estrategias de inteligencia artificial para superar barreras en el aprendizaje de personas con discapacidades. In C. Hervás-Gómez (Coord.), Tecnología, Inclusión y Diversidad en el Aprendizaje del Siglo XXI (pp. 9-35). Dykinson. https://www.torrossa.com/en/resources/an/5831094#

22) Hu, Y. (2023). Artificial intelligence and human workers interaction. Highlights in Science, Engineering and Technology, 44, 90-95. https://doi.org/10.54097/hset.v44i.7201

23) Kleinpeter, E. (2013). L’humain augmenté. CNRS Éditions. https://doi.org/10.4000/books.editionscnrs.19608

24) Llano, F. H. (2022). La toma de decisiones automatizada y el control de humanidad. En Intellegentiae artificialis, imperium et civitatem (pp. 7-36). Sánchez A.A. (Dir.) Alma Mater. https://dialnet.unirioja.es/servlet/articulo?codigo=8958512

25) López-Borrull, A. (2024). ¿Es la inteligencia artificial generativa una aliada de la ciencia abierta? Anuario ThinkEPI, 18. 1-4. https://doi.org/10.3145/thinkepi.2024.e18a40

26) Mayol, J. (2023). Inteligencia artificial generativa y educación médica. Revista Educación Médica, 24, 1–3. https://doi.org/10.1016/j.edumed.2023.100851

27) Michel-Villarreal, R., Vilalta-Perdomo, E., Salinas-Navarro, D. E., Thierry-Aguilera, R. & Gerardou, F. S. (2023). Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT. Education Sciences, 13(9), 1-18. https://doi.org/10.3390/educsci13090856

28) Monsalves, D., Olivares, P., Riquelme, F. & Cornide-Reyes, H. (2025). Inteligencia artificial como servicio: Potenciando la innovación y eficiencia en la industria y las metodologías ágiles. Ingeniare. Revista Chilena de Ingeniería, 32, 1-15. https://ingeniare.uta.cl/index.php/inge/article/view/1493

29) Ocampo-Rendon, J. E. (2023). Creatividad computacional: La transformación del Arte y el Diseño Visual en la Era de la Inteligencia Artificial. Revista Académica Estesis, (15), 58–66. https://doi.org/10.37127/25393995.187

30) Osorio-Andrade, C. F., Arango-Espinal, E. & Loaiza-Gallego, J. A. (2025). Papel de la inteligencia artificial generativa en los negocios: un análisis bibliométrico. Revista Guillermo de Ockham, 23(1), 247-263. https://doi.org/10.21500/22563202.6961

31) Pavlik, J. (2023). Collaborating with ChatGPT: considering the implications of generative artificial intelligence for journalism and media education. Journalism & Mass Communication Educator, 78(1), 84-93. https://doi.org/10.1177/10776958221149577

32) Preiksaitis, C. & Rose, C. (2023). Opportunities, challenges, and future directions of generative artificial intelligence in medical education: scoping review. JMIR Publications. Advancing Digital Health & Open Science, 9. https://doi.org/10.2196/48785

33) Reinhard, P. (2024). Augmentation through generative ai: exploring the effects of human-ai interaction and explainable ai on service performance. Mensch und Computer 2024 – Workshopband. 1-6. https://doi.org/10.18420/muc2024-mci-dc-360

34) Rekimoto, J. (2017). Internet of abilities: Human augmentation, and beyond. 2017 IEEE Symposium on 3D User Interfaces (3DUI), Los Angeles, CA, USA, 2017, pp. 1-1, https://doi.org/10.1109/3DUI.2017.7893310

35) Sadin, E. (2017). La humanidad aumentada: La administración digital del mundo. Caja Negra.

36) Selwyn, N. (2021). There is a danger we get too robotic: an investigation of institutional data logics within secondary schools. Educational Review, 75(3), 377–393. https://doi.org/10.1080/00131911.2021.1931039

37) Serna-Navarro, D. (2024). Inteligencia artificial, vampirismo y la caja negra: aproximación especulativa en el marco del aprendizaje automático. Arte, Individuo y Sociedad, 36(4), 967-977. https://doi.org/10.5209/aris.95515

38) Shanmugam, D., Agrawal, M., Movva, R., Chen, I.Y., Ghassemi, M., Jacobs, M. & Pierson, E. (2024). Generative AI in Medicine.1-30. https://arxiv.org/html/2412.10337v2

39) Singhal, K. et al. (2023). Large language models encode clinical knowledge. Nature, 620, 172–180. https://doi.org/10.1038/s41586-023-06291-2

40) Tankelevitch, L., Kewenig, V., Simkute, A., Scott, A.E., Sarkar, A., Sellen, A. & Rintel, S. (2024). The metacognitive demands and opportunities of generative AI. In, F. Mueller y P. Kyburz (Eds.), Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (1-24). Association for Computing Machinery. https://doi.org/10.1145/3613904.3642902

41) Tao, J., Zhou, L. & Fang, X. (2024). Generative AI for Intelligence Augmentation: Categorization and Evaluation Frameworks for Large Language Model Adaptation. AIS Transactions on Human-Computer Interaction, 16(3), 364-387. https://doi.org/10.17705/1thci.00210

42) Templin T., Perez, M.W., Sylvia, S., Leek, J. & Sinnott-Armstrong, N. (2024) Addressing 6 challenges in generative AI for digital health: A scoping review. PLOS Digit Health, 3(5), 1-14. https://doi.org/10.1371/journal.pdig.0000503

43) Yan, L., Greiff, S., Teuber, Z. & Gašević, D. (2024). Promises and challenges of generative artificial intelligence for human learning. Human-Computer Interaction, 3. https://doi.org/10.48550/arXiv.2408.12143

44) Yoon, H., Doh, Y.Y., Yi, M.Y. & Woo, W. (2014). A conceptual framework for augmented smart coach based on quantified holistic self. In: N. Streitz y P. Markopoulos, (Eds.), Distributed, Ambient, and Pervasive Interactions 2014. Springer. https://doi.org/10.1007/978-3-319-07788-8_46

VOlUME 04 ISSUE 05 MAY 2025

Indexed In