Tecnologías Compasivas y Animales Vulnerables

Herramientas Visuales para un Prioritarismo Moral

Autores/as

  • Joaquín Fernández Mateo Universidad Rey Juan Carlos

DOI:

https://doi.org/10.62161/revvisual.v18.6144

Palabras clave:

sufrimiento de animales salvajes, ética animal, tecnologías visuales, ética aplicada, ética normativa, vulnerabilidad

Resumen

Este artículo defiende un welfarismo negativo moderado y prioritarista para ayudar a los animales salvajes, argumentando que el sufrimiento más grave y remediable merece prioridad moral. Examina cómo las tecnologías visuales emergentes —imágenes térmicas, drones, visión artificial, realidad aumentada, robótica y sistemas satelitales— permiten intervenciones preventivas, supervisión y rescate que reducen los daños naturales y antropogénicos que sufren los animales salvajes. Integrar estas herramientas con un marco ético claro puede guiar políticas específicas y empíricamente fundamentadas en Europa, mejorando el bienestar de los individuos más vulnerables sin generar alteraciones ecológicas significativas. El artículo concluye que la asistencia tecnológica constituye una ampliación viable y moralmente justificada de nuestros deberes hacia los animales salvajes.

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Abu-Seida, A. M., Abdulkarim, A., & Hassan, M. H. (2024). Veterinary telemedicine: A new era for animal welfare. Open veterinary journal, 14(4), 952. https://doi.org/10.5455/OVJ.2024.v14.i4.2 DOI: https://doi.org/10.5455/OVJ.2024.v14.i4.2

Agence France-Presse. (2014, April 25). Germany deploys drones to protect young deer from combine harvesters. The Guardian. https://www.theguardian.com/world/2014/apr/25/german-drones-protect-young-deer-combine-harvesters

Ahn, S. J., Bostick, J., Ogle, E., Nowak, K. L., McGillicuddy, K. T., & Bailenson, J. N. (2016). Experiencing nature: Embodying animals in immersive virtual environments increases inclusion of nature in self and involvement with nature. Journal of Computer-Mediated Communication, 21(6), 399-419. https://doi.org/10.1111/jcc4.12173 DOI: https://doi.org/10.1111/jcc4.12173

Aman, E., & Wang, H. C. (2024). A deep learning-based embedded system for pest bird sound detection and proximity estimation. European Journal of Engineering and Technology Research, 9(1), 53-59. https://doi.org/10.24018/ejeng.2024.9.1.3150 DOI: https://doi.org/10.24018/ejeng.2024.9.1.3150

Anderson, K., Gonzalez, F., & Gaston, K. J. (2025). Drones in ecology: ten years back and forth. Bioscience, 75(8), 664–680. https://doi.org/10.1093/biosci/biaf069 DOI: https://doi.org/10.1093/biosci/biaf069

Animal Ethics. (2022). How thermal imaging can help animals: A review. Animal Ethics. https://www.animal-ethics.org/wp-content/uploads/Thermal-Imaging-Help-Animals-Review.pdf

Arneson, R. (2015). Prioritarianism. Cambridge: Cambridge University Press.

Balčiauskas, L., Kučas, A., & Balčiauskienė, L. (2025). A Review of Wildlife–Vehicle Collisions: A Multidisciplinary Path to Sustainable Transportation and Wildlife Protection. Sustainability, 17(10), 4644. https://doi.org/10.3390/su17104644 DOI: https://doi.org/10.3390/su17104644

Baur, S., Kauffert, J., Hewison, A. M., Reinermann, S., König, A., Menzel, A., & Peters, W. (2023). Spatial scaling in bed‐site selection by roe deer fawns: Implications for mitigating neonatal mortality during mowing. Ecology and Evolution, 13(11), e10729. https://doi.org/10.1002/ece3.10729 DOI: https://doi.org/10.1002/ece3.10729

Berger, J. (2012). Estimation of body‐size traits by photogrammetry in large mammals to inform conservation. Conservation Biology, 26(5), 769-777. https://doi.org/10.1111/j.1523-1739.2012.01896.x DOI: https://doi.org/10.1111/j.1523-1739.2012.01896.x

Boffey, D. (2025, August 22). EU wildfires worst on record as burning season continues. The Guardian. https://www.theguardian.com/world/2025/aug/22/eu-wildfires-worst-year-on-record-as-season-continues

Boroujeni, S. P. H., Razi, A., Khoshdel, S., Afghah, F., Coen, J. L., O’Neill, L., ... & Vamvoudakis, K. G. (2024). A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management. Information Fusion, 108, 102369. https://doi.org/10.1016/j.inffus.2024.102369 DOI: https://doi.org/10.1016/j.inffus.2024.102369

Broom, D. M. (2014). Sentience and animal welfare. Cabi. DOI: https://doi.org/10.1079/9781780644035.0000

Burns, G. L., & Benz-Schwarzburg, J. (2024). Virtual wildlife tourism: an ideal form of ecotourism?. Journal of Ecotourism, 23(3), 260-276. https://doi.org/10.1080/14724049.2023.2175835 DOI: https://doi.org/10.1080/14724049.2023.2175835

Carrington, D. (2025, August 14). ‘No country is safe’: Deadly Nordic heatwave supercharged by climate crisis. The Guardian. https://www.theguardian.com/environment/2025/aug/14/nordic-heatwave-climate-crisis-sweden-norway-finland

Cecil, H. (2021). The iAnimal Film Series: Activating Empathy Through Virtual Reality. Screen Bodies, 6(1), 44-61. https://doi.org/10.3167/screen.2021.060105 DOI: https://doi.org/10.3167/screen.2021.060105

Cochrane, A. (2018). Sentientist politics: A theory of global inter-species justice. Oxford University Press. DOI: https://doi.org/10.1093/oso/9780198789802.003.0007

Copernicus Land Monitoring Service. (2025, October 13). High-Resolution Phenology and Productivity releases annual product update. European Environment Agency. https://land.copernicus.eu/en/news/high-resolution-phenology-and-productivity-annual-product-update

Cukor, J., Bartoška, J., Rohla, J., Sova, J., & Machálek, A. (2019). Use of aerial thermography to reduce mortality of roe deer fawns before harvest. PeerJ, 7, e6923. https://doi.org/10.7717/peerj.6923 DOI: https://doi.org/10.7717/peerj.6923

Curiosity Stream. (2021). Doug to the Rescue [Documentary series]. CuriosityStream. https://curiositystream.com/dougtotherescue

Crisp, R. (2003). “Equality, Priority, and Compassion.” Ethics, 113(4): 745-763 DOI: https://doi.org/10.1086/373954

Cross, P. C., Almberg, E. S., Haase, C. G., Hudson, P. J., Maloney, S. K., Metz, M. C., ... & Smith, D. W. (2016). Energetic costs of mange in wolves estimated from infrared thermography. Ecology, 97(8), 1938-1948. https://doi.org/10.1890/15-1346.1 DOI: https://doi.org/10.1890/15-1346.1

Dawkins, M. S. (2008). The science of animal suffering. Ethology, 114(10), 937-945. https://doi.org/10.1111/j.1439-0310.2008.01557.x DOI: https://doi.org/10.1111/j.1439-0310.2008.01557.x

Dezecache, G., Zuberbühler, K., Davila-Ross, M., & Dahl, C. D. (2017). Skin temperature changes in wild chimpanzees upon hearing vocalizations of conspecifics. Royal Society open science, 4(1), 160816. https://doi.org/10.1098/rsos.160816 DOI: https://doi.org/10.1098/rsos.160816

Duerr, A. E., Parsons, A. E., Nagy, L. R., Kuehn, M. J., & Bloom, P. H. (2023). Effectiveness of an artificial intelligence-based system to curtail wind turbines to reduce eagle collisions. PLoS One, 18(1), e0278754. https://doi.org/10.1371/journal.pone.0278754 DOI: https://doi.org/10.1371/journal.pone.0278754

European Commission. (2025, June 30). Destination Earth (DestinE) – Digital model of the Earth. Directorate-General for Communications Networks, Content and Technology. https://digital-strategy.ec.europa.eu/en/policies/destination-earth

Fai Tse, Y., Moret, A., Ziesche, S., & Singer, P. (2025). AI Alignment: The Case for Including Animals. Philosophy & Technology, 38(4), 139. https://doi.org/10.1007/s13347-025-00979-1 DOI: https://doi.org/10.1007/s13347-025-00979-1

Fernández-Mateo, J. (2024). Toward Ethical Intervention in the Anthropocene: Saving Animals from Wildfires. Journal of Posthuman Studies, 8(2), 265-284. DOI: https://doi.org/10.5325/jpoststud.8.2.0265

Hodgson, J. C., Mott, R., Baylis, S. M., Pham, T. T., Wotherspoon, S., Kilpatrick, A. D., ... & Koh, L. P. (2018). Drones count wildlife more accurately and precisely than humans. Methods in Ecology and Evolution, 9(5), 1160-1167. https://doi.org/10.1111/2041-210X.12974 DOI: https://doi.org/10.1111/2041-210X.12974

Horta, O. (2017). Animal suffering in nature: The case for intervention.Environmental Ethics, 39, 261–279. DOI: https://doi.org/10.5840/enviroethics201739320

Horta, O. (2022). Making a stand for animals. Routledge. DOI: https://doi.org/10.4324/9781003285922

Horta, O., & Rozas, M. (2025). Animals and Longtermism. World Futures, 81(2), 85-95. https://doi.org/10.1080/02604027.2024.2424711 DOI: https://doi.org/10.1080/02604027.2024.2424711

Hristov, N. I., Betke, M., & Kunz, T. H. (2008). Applications of thermal infrared imaging for research in aeroecology. Integrative and Comparative Biology, 48(1), 50-59. https://doi.org/10.1093/icb/icn053 DOI: https://doi.org/10.1093/icb/icn053

Hurka, T. (2010). Asymmetries in value. Noûs, 199-223. https://www.jstor.org/stable/40660512 DOI: https://doi.org/10.1111/j.1468-0068.2010.00737.x

Israel, M. & Reinhard, A. (2017). Detecting nests of lapwing birds with the aid of a small unmanned aerial vehicle with thermal camera. International Conference on Unmanned Aircraft Systems (ICUAS), 1199-1207. https://doi.org/10.1109/ICUAS.2017.7991393 DOI: https://doi.org/10.1109/ICUAS.2017.7991393

Ivanova, S., Prosekov, A., & Kaledin, A. (2022). A survey on monitoring of wild animals during fires using drones. Fire, 5(3), 60. https://doi.org/10.3390/fire5030060 DOI: https://doi.org/10.3390/fire5030060

Jarnemo, A. (2002). Roe deer Capreolus capreolus fawns and mowing‐mortality rates and countermeasures. Wildlife Biology, 8(3), 211-218. https://doi.org/10.2981/wlb.2002.035 DOI: https://doi.org/10.2981/wlb.2002.035

Korsgaard, C. M. (2018). Fellow creatures: Our obligations to the other animals. Oxford University Press. DOI: https://doi.org/10.1093/oso/9780198753858.003.0008

Kowalski, K., Okujeni, A., & Hostert, P. (2023). A generalized framework for drought monitoring across Central European grassland gradients with Sentinel-2 time series. Remote Sensing of Environment, 286, 113449. https://doi.org/10.1016/j.rse.2022.113449 DOI: https://doi.org/10.1016/j.rse.2022.113449

LaRocco, J., Tahmina, Q., & Simonis, J. (2024). Evaluating a Controlled Electromagnetic Launcher for Safe Remote Drug Delivery. Technologies, 12(5), 69. https://doi.org/10.3390/technologies12050069 DOI: https://doi.org/10.3390/technologies12050069

Low, P., Panksepp, J., Reiss, D., Edelman, D., Van Swinderen, B., & Koch, C. (2012, July). The Cambridge declaration on consciousness. In Francis crick memorial conference (Vol. 7). England: Cambridge.

Maffei, C., Lindenbergh, R., & Menenti, M. (2021). Combining multi-spectral and thermal remote sensing to predict forest fire characteristics. ISPRS Journal of Photogrammetry and Remote Sensing, 181, 400-412. https://doi.org/10.1016/j.isprsjprs.2021.09.016 DOI: https://doi.org/10.1016/j.isprsjprs.2021.09.016

Marcoň, P., Janoušek, J., Pokorný, J., Novotný, J., Hutová, E. V., Širůčková, A., ... & Gescheidtová, E. (2021). A system using artificial intelligence to detect and scare bird flocks in the protection of ripening fruit. Sensors, 21(12), 4244. https://doi.org/10.3390/s21124244 DOI: https://doi.org/10.3390/s21124244

Mayerfeld, J. (1999). Suffering and moral responsibility. Oxford University Press, USA. DOI: https://doi.org/10.1093/oso/9780195115994.001.0001

Meade, J., McCarthy, E. D., Yabsley, S. H., Grady, S. C., Martin, J. M., & Welbergen, J. A. (2025). Using Night-Time Drone-Acquired Thermal Imagery to Monitor Flying-Fox Productivity—A Proof of Concept. Remote Sensing, 17(3), 518. https://doi.org/10.3390/rs17030518 DOI: https://doi.org/10.3390/rs17030518

Melo, K., Horvat, T., & Ijspeert, A. J. (2023). Animal robots in the African wilderness: Lessons learned and outlook for field robotics. Science Robotics, 8(85), eadd8662. https://doi.org/10.1126/scirobotics.add8662 DOI: https://doi.org/10.1126/scirobotics.add8662

Nalamothu, R., Sontha, P., Karravula, J., & Agrawal, A. (2024, November). Leveraging augmented reality for improved situational awareness during UAV-driven search and rescue missions. In 2024 IEEE International Symposium on Safety Security Rescue Robotics (SSRR) (pp. 221-228). IEEE. https://doi.org/10.1109/SSRR62954.2024.10770051 DOI: https://doi.org/10.1109/SSRR62954.2024.10770051

Napoli, C., Hirtle, N., Stepanuk, J., Christiansen, F., Heywood, E. I., Grove, T. J., ... & Thorne, L. H. (2024). Drone-based photogrammetry reveals differences in humpback whale body condition and mass across North Atlantic foraging grounds. Frontiers in Marine Science, 11, 1336455. https://doi.org/10.3389/fmars.2024.1336455 DOI: https://doi.org/10.3389/fmars.2024.1336455

Nussbaum, M. C. (2023). Justice for animals: Our collective responsibility. Simon and Schuster.

Oregui, X., Fernández García, A., Azpiroz, I., Larraga-García, B., Ruiz, V., García Olaizola, I., & Gutiérrez, Á. (2024). Augmented reality interface for adverse-visibility conditions validated by first responders in rescue training scenarios. Electronics, 13(18), 3739. https://doi.org/10.3390/electronics13183739 DOI: https://doi.org/10.3390/electronics13183739

Palmer, C. (2013). Contested frameworks in environmental ethics. In Linking Ecology and Ethics for a Changing World: Values, Philosophy, and Action (pp. 191-206). Dordrecht: Springer Netherlands. DOI: https://doi.org/10.1007/978-94-007-7470-4_16

Parfit, D. (1991). Equality and priority. The Lindley Lecture. University of Kansas.

Paul, E. S., Sher, S., Tamietto, M., Winkielman, P., & Mendl, M. T. (2020). Towards a comparative science of emotion: Affect and consciousness in humans and animals. Neuroscience & Biobehavioral Reviews, 108, 749-770. https://doi.org/10.1016/j.neubiorev.2019.11.014 DOI: https://doi.org/10.1016/j.neubiorev.2019.11.014

Pettorelli, N., Schulte to Bühne, H., Tulloch, A., Dubois, G., Macinnis‐Ng, C., Queirós, A. M., ... & Nicholson, E. (2018). Satellite remote sensing of ecosystem functions: opportunities, challenges and way forward. Remote Sensing in Ecology and Conservation, 4(2), 71-93. https://doi.org/10.1002/rse2.59 DOI: https://doi.org/10.1002/rse2.59

Popper, K. (1962). The open society and its enemies. Routledge.

Prosekov, A., Kuznetsov, A., Rada, A., & Ivanova, S. (2020). Methods for monitoring large terrestrial animals in the wild. Forests, 11(8), 808. https://doi.org/10.3390/f11080808 DOI: https://doi.org/10.3390/f11080808

Rethink Priorities. (2022, October 29). Using artificial intelligence (machine vision) to increase the effectiveness of human-wildlife conflict mitigations could benefit WAW. Rethink Priorities. https://rethinkpriorities.org/research-area/ai-for-human-wildlife-conflict-mitigations/

Reuters (2021, June 15). Doug, the rescue drone pilot who saves animals from global disaster zones. Reuters. https://www.reuters.com/technology/doug-rescue-drone-pilot-saves-animals-global-disaster-zones-2021-06-15/

Reuters (2022, May 28). Ailing orca stuck in France’s River Seine to be lured to sea using drone with loudspeakers. The Guardian. https://www.theguardian.com/world/2022/may/28/ailing-orca-stuck-in-frances-river-seine-to-be-lured-to-sea-using-drone-with-loudspeakers

Rietz, J., van Beeck Calkoen, S. T., Ferry, N., Schlüter, J., Wehner, H., Schindlatz, K. H., ... & Heurich, M. (2023). Drone‐based thermal imaging in the detection of wildlife carcasses and disease management. Transboundary and emerging diseases, 2023(1), 5517000. https://doi.org/10.1155/2023/5517000 DOI: https://doi.org/10.1155/2023/5517000

Ripple, W. J., Wolf, C., Mann, M. E., Rockström, J., Gregg, J. W., Xu, C., ... & Gleick, P. H. (2025). The 2025 state of the climate report: a planet on the brink. BioScience, biaf149 https://doi.org/10.1093/biosci/biaf149 DOI: https://doi.org/10.1093/biosci/biaf149

Sebo, J. (2025). The moral circle: Who matters, what matters, and why. W. W. Norton & Company.

Singer, P. (2023). Animal liberation now. Random House.

Singh, M., Negi, S. K., Chandra, P. K., & Sharma, S. (2025, February). Innovative AI Solutions with Animal Detection for Road Safety and Preventing Wildlife Collisions. In 2025 International Conference on Emerging Systems and Intelligent Computing (ESIC) (pp. 888-893). IEEE. https://doi.org/10.1109/ESIC64052.2025.10962657 DOI: https://doi.org/10.1109/ESIC64052.2025.10962657

South, K. E., Haynes, K., & Jackson, A. C. (2020). Diagnosis of hypothermia in the European hedgehog, Erinaceus europaeus, using infrared thermography. Journal of Thermal Biology, 90, 102574. https://doi.org/10.1016/j.jtherbio.2020.102574 DOI: https://doi.org/10.1016/j.jtherbio.2020.102574

Smart, R. N. (1958). Negative utilitarianism. Mind, 67(268), 542-543. https://doi.org/10.1093/mind/LXVII.268.542 DOI: https://doi.org/10.1093/mind/LXVII.268.542

Stehr, F. P., Kauffert, J., Baumgartner, E., Wiesel, T., Thurner, S., Mačuhová, J., ... & König, A. (2025). Visual‐acoustic wildlife deterrents as a supporting measure to prevent mowing‐related mortality in roe deer fawns. Ecological Solutions and Evidence, 6(3), e70100. https://doi.org/10.1002/2688-8319.70100 DOI: https://doi.org/10.1002/2688-8319.70100

SWI swissinfo.ch. (2025, August 12). Record number of fawns saved by Swiss drone volunteers. SWI swissinfo.ch. https://www.swissinfo.ch/eng/various/6500-deer-saved-from-mowing-thanks-to-drones-record-year/89819903

The Newsroom. (2018, October 22). Police use drone’s thermal camera to track down deer poachers in Notts. Mansfield and Ashfield Chad. https://www.chad.co.uk/news/crime/police-use-drones-thermal-camera-to-track-down-deer-poachers-in-notts-239468

Tännsjö, T. (2015). Utilitarianism or prioritarianism?. Utilitas, 27(2), 240-250. https://doi.org/10.1017/S0953820815000011 DOI: https://doi.org/10.1017/S0953820815000011

Fai Tse, Y., Moret, A., Ziesche, S., & Singer, P. (2025). AI Alignment: The Case for Including Animals. Philosophy & Technology, 38(4), 139. https://doi.org/10.1007/s13347-025-00979-1 DOI: https://doi.org/10.1007/s13347-025-00979-1

Vidal, J. (2014, February 22). Wildlife casualties of floods grow amid fears over ‘polluted’ wetlands. The Guardian. https://www.theguardian.com/environment/2014/feb/23/wildlife-uk-floods-species-habitats-lost

Vinter, R., Halliday, J., & Gayle, D. (2025, March 11). Experts warn of North Sea collision’s ‘devastating’ impact on marine life. The Guardian. https://www.theguardian.com/uk-news/2025/mar/11/north-sea-collision-may-have-devastating-impact-on-marine-life-says-expert

Whitby, M. D., O'Mara, M. T., Hein, C. D., Huso, M., & Frick, W. F. (2024). A decade of curtailment studies demonstrates a consistent and effective strategy to reduce bat fatalities at wind turbines in North America. Ecological Solutions and Evidence, 5(3), e12371. https://doi.org/10.1002/2688-8319.12371 DOI: https://doi.org/10.1002/2688-8319.12371

Wild Wonderful World. (2022, December). Night Vision Scope sponsored for vet dart gun. Wild Wonderful World. https://www.wildwonderfulworld.com/conservation-trust-updates/night-vision-scope-sponsored-for-vet-dart-gun

Zuleger, A. M., Viti, M. M., Quoss, L., Dias, F. S., de Água, L. B., Bugalho, M. N., & Pereira, H. M. (2025). Mapping herbivore-accessible biomass across a heterogeneous mountain landscape using multisensor high-resolution UAV data. Science of Remote Sensing, 100302. https://doi.org/10.1016/j.srs.2025.100302 DOI: https://doi.org/10.1016/j.srs.2025.100302

Publicado

2026-03-16

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Fernández Mateo, J. (2026). Tecnologías Compasivas y Animales Vulnerables: Herramientas Visuales para un Prioritarismo Moral. VISUAL REVIEW. International Visual Culture Review Revista Internacional De Cultura Visual, 18(2), 131–145. https://doi.org/10.62161/revvisual.v18.6144

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