Compassionate Technologies and Vulnerable Animals
Visual Tools for Moral Prioritization
DOI:
https://doi.org/10.62161/revvisual.v18.6144Keywords:
wild animal suffering, animal ethics, visual tech, applied ethics, normative ethics, vulnerabilityAbstract
This article defends a moderate negative welfarist and prioritarian framework for assisting wild animals, arguing that the most severe and remediable suffering deserves moral priority. It examines how emerging visual technologies—thermal imaging, drones, computer vision, augmented reality, robotics, and satellite systems—enable prevention, monitoring, and rescue interventions that reduce natural and anthropogenic harms to wild animals. Integrating these tools with ethical principles can guide targeted, evidence-based policies in Europe, improving the welfare of the most vulnerable individuals without causing greater ecological disruption. The article concludes that technological assistance constitutes a feasible and morally justified expansion of our duties toward wild animals.
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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
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
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
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
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
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
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
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
Broom, D. M. (2014). Sentience and animal welfare. Cabi.
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
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
Cochrane, A. (2018). Sentientist politics: A theory of global inter-species justice. Oxford University Press.
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
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
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
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
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
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
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
Fernández-Mateo, J. (2024). Toward Ethical Intervention in the Anthropocene: Saving Animals from Wildfires. Journal of Posthuman Studies, 8(2), 265-284.
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
Horta, O. (2017). Animal suffering in nature: The case for intervention.Environmental Ethics, 39, 261–279.
Horta, O. (2022). Making a stand for animals. Routledge.
Horta, O., & Rozas, M. (2025). Animals and Longtermism. World Futures, 81(2), 85-95. 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
Hurka, T. (2010). Asymmetries in value. Noûs, 199-223. https://www.jstor.org/stable/40660512
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
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
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
Korsgaard, C. M. (2018). Fellow creatures: Our obligations to the other animals. Oxford University Press.
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
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
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
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
Mayerfeld, J. (1999). Suffering and moral responsibility. Oxford University Press, USA.
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
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
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
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
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
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.
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
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
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
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
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
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
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
Smart, R. N. (1958). Negative utilitarianism. Mind, 67(268), 542-543. 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
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
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
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
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
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