Real Safety AI Foundation / Research

Ethics, Design Responsibility, and Moral Agency

Cruelty Across Substrates: From Animal Cruelty to Embodied AI and the Coming Detection Gap

Publisher: Real Safety AI Foundation

Working paper. Not peer reviewed.

Written
May 2026
Version
v7.5
Pages
21
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Abstract

Childhood cruelty to animals is among the most durable behavioral warning signs of later interpersonal violence in the forensic and clinical literature. The predictive mechanism does not rest on any settled answer about the moral status of the target. It rests on what the perpetrator practices, rehearses, and trains in themselves: desensitization, dominance affect, and the social learning of cruelty as pleasure. This paper offers a conceptual continuity argument and research agenda. We argue that the substrate of the target is incidental to that training, with one critical qualification: the configuration of the target matters. Routine digital destruction in static media (the static video game target, the scripted non player character) is a categorically different case from the closed loop, contingent emotional response systems on which the argument turns. As world models, embodied robotics, and closed loop emotional voice systems converge toward agents that perform distress in ways a user cannot reliably distinguish from a being in pain, we argue that the dispositional consequences of practiced cruelty against those agents are likely to recruit sufficiently similar mechanisms to warrant clinical and forensic attention. The paper does not claim that synthetic agents are moral patients. It claims that the warning signal forensic and clinical fields have relied upon for fifty years risks migrating to a venue with substantially diminished detection infrastructure. Existing human robot interaction research already shows that users do not need to believe a synthetic agent is conscious to respond to it through social, emotional, or dominance based scripts. The Kantian observation that cruelty corrupts the cruel is sufficient to ground the argument. Conduct disorder assessment, character evidence frameworks, school counseling protocols, and pre employment screening for sensitive roles will need to adapt or lose one of the more durable early behavioral indicators available to forensic and clinical assessment. The paper is offered as agenda setting; the operational protocols it identifies as necessary are deliberately scoped to a planned companion paper.

Keywords

  • Forensic Psychology
  • Animal Cruelty
  • Conduct Disorder
  • Human Robot Interaction
  • Embodied AI
  • Synthetic Cruelty
  • Detection Infrastructure
  • AI Ethics

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Suggested citation

Gilly, Travis. "Cruelty Across Substrates: From Animal Cruelty to Embodied AI and the Coming Detection Gap." Real Safety AI Foundation Working Paper, May 2026. https://realsafetyai.org/research/sy8qe5/

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References (56)

  1. Anderson, C. A., Shibuya, A., Ihori, N., Swing, E. L., Bushman, B. J., Sakamoto, A., Rothstein, H. R., & Saleem, M. (2010). Violent video game effects on aggression, empathy, and prosocial behavior in eastern and western countries: A meta-analytic review. Psychological Bulletin, 136(2), 151–173.
  2. American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders (5th ed.). American Psychiatric Publishing.
  3. Arluke, A., Levin, J., Luke, C., & Ascione, F. (1999). The relationship of animal abuse to violence and other forms of antisocial behavior. Journal of Interpersonal Violence, 14(9), 963–975.
  4. Arrambide, K., Yoon, J., MacArthur, C., Rogers, K., Luz, A., & Nacke, L. E. (2022). “I don’t want to shoot the android”: Players translate real life moral intuitions to in game decisions in Detroit: Become Human. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (pp. 1–15). ACM.
  5. Artificial Analysis. (2026). Speech Arena leaderboard. Retrieved May 2026 from https://artificialanalysis.ai/text-to-speech/leaderboard.
  6. Ascione, F. R. (1993). Children who are cruel to animals: A review of research and implications for developmental psychopathology. Anthrozoös, 6(4), 226–247.
  7. Ascione, F. R., & Arkow, P. (Eds.). (1999). Child Abuse, Domestic Violence, and Animal Abuse: Linking the Circles of Compassion for Prevention and Intervention. Purdue University Press.
  8. Ascione, F. R. (2005). Children and Animals: Exploring the Roots of Kindness and Cruelty. Purdue University Press.
  9. Baker Botts. (2026, February 24). AI chatbot regulation: 78 state bills, 58 lawsuits. Retrieved from https://ourtake.bakerbotts.com/post/102mipe/ai-chatbot-regulation-78-state-bills-58-lawsuits.
  10. Bandura, A. (1973). Aggression: A Social Learning Analysis. Prentice-Hall.
  11. Banakou, D., & Slater, M. (2014). Body ownership causes illusory self attribution of speaking and influences subsequent real speaking. Proceedings of the National Academy of Sciences, 111(49), 17678–17683.
  12. Bandura, A. (1986). Social Foundations of Thought and Action: A Social Cognitive Theory. Prentice-Hall.
  13. Bartneck, C., & Hu, J. (2008). Exploring the abuse of robots. Interaction Studies, 9(3), 415–433.
  14. Bilibili. (2025). bilibili Model Use License Agreement. Retrieved from https://github.com/index-tts/index-tts.
  15. Brscič, D., Kidokoro, H., Suehiro, Y., & Kanda, T. (2015). Escaping from children’s abuse of social robots. In Proceedings of the Tenth Annual ACM/IEEE International Conference on Human Robot Interaction (pp. 59–66).
  16. Carey, S. (1985). Conceptual Change in Childhood. MIT Press.
  17. Carey, S. (2009). The Origin of Concepts. Oxford University Press.
  18. Cleckley, H. (1976). The Mask of Sanity (5th ed.). C. V. Mosby. (Original work published 1941).
  19. Coeckelbergh, M. (2010). Robot rights? Towards a social-relational justification of moral consideration. Ethics and Information Technology, 12(3), 209–221.
  20. Coeckelbergh, M. (2017). New Romantic Cyborgs: Romanticism, Information Technology, and the End of the Machine. MIT Press.
  21. Darling, K. (2021). The New Breed: What Our History with Animals Reveals about Our Future with Robots. Henry Holt.
  22. Engels, K. S., & Evans, S. (2022). Detroit Become Human as philosophy: Moral reasoning through gameplay. In D. K. Johnson (Ed.), The Palgrave Handbook of Popular Culture as Philosophy. Palgrave Macmillan. https://doi.org/10.1007/978-3-319-97134-6_83-1.
  23. Ferguson, C. J. (2015). Do angry birds make for angry children? A meta-analysis of video game influences on children’s and adolescents’ aggression, mental health, prosocial behavior, and academic performance. Perspectives on Psychological Science, 10(5), 646–666.
  24. Felthous, A. R., & Kellert, S. R. (1987). Childhood cruelty to animals and later aggression against people: A review. American Journal of Psychiatry, 144(6), 710–717.
  25. Hellman, D. S., & Blackman, N. (1966). Enuresis, firesetting and cruelty to animals: A triad predictive of adult crime. American Journal of Psychiatry, 122(12), 1431–1435.
  26. Google DeepMind. (2025, August 5). Genie 3: A new frontier for world models. Retrieved from https://deepmind.google/blog/genie-3-a-new-frontier-for-world-models/.
  27. Google. (2026, January 29). Project Genie: Experimenting with infinite, interactive worlds. Retrieved from https://blog.google/innovation-and-ai/models-and-research/google-deepmind/project-genie/.
  28. Hare, R. D. (1991). The Hare Psychopathy Checklist—Revised. Multi-Health Systems.
  29. Hensley, C., Tallichet, S. E., & Singer, S. D. (2006). Exploring the possible link between childhood and adolescent bestiality and interpersonal violence. Journal of Interpersonal Violence, 21(7), 910–923.
  30. Holl, E., & Melzer, A. (2022). Moral minds in gaming: A quantitative case study of moral decisions in Detroit: Become Human. Journal of Media Psychology, 34(5), 287–298.
  31. IndexTeam. (2025, September 8). IndexTTS2: Emotion controlled, duration accurate, zero shot text to speech engine. Retrieved from https://github.com/index-tts/index-tts.
  32. Inworld AI. (2026, May 5). Realtime TTS-2: A new frontier voice model that feels as human as it sounds. Retrieved from https://inworld.ai/blog/realtime-tts-2.
  33. Kahn, P. H., Kanda, T., Ishiguro, H., Freier, N. G., Severson, R. L., Gill, B. T., Ruckert, J. H., & Shen, S. (2012). “Robovie, you’ll have to go into the closet now”: Children’s social and moral relationships with a humanoid robot. Developmental Psychology, 48(2), 303–314.
  34. Kant, I. (1996). Practical Philosophy (M. J. Gregor, Ed. and Trans.). Cambridge University Press.
  35. Kant, I. (1997). Lectures on Ethics (P. Heath & J. B. Schneewind, Eds.; P. Heath, Trans.). Cambridge University Press.
  36. Kellert, S. R., & Felthous, A. R. (1985). Childhood cruelty toward animals among criminals and noncriminals. Human Relations, 38(12), 1113–1129.
  37. Kuhlmeier, V. A., Bloom, P., & Wynn, K. (2004). Do 5 month old infants see humans as material objects? Cognition, 94(1), 95–103.
  38. MarkTechPost. (2026, May 5). Inworld AI launches Realtime TTS-2: A closed-loop voice model that adapts to how you actually talk. Retrieved from https://www.marktechpost.com/2026/05/05/inworld-ai-launches-realtime-tts-2-a-closed-loop-voice-model-that-adapts-to-how-you-actually-talk/.
  39. Merz Perez, L., & Heide, K. M. (2004). Animal Cruelty: Pathway to Violence Against People. AltaMira Press.
  40. Moffitt, T. E. (1993). Adolescence limited and life course persistent antisocial behavior: A developmental taxonomy. Psychological Review, 100(4), 674–701.
  41. National Law Review. (2026, February 11). Tennessee’s AI bill would criminalize the training of AI chatbots. Retrieved from https://natlawreview.com/article/tennessees-ai-bill-would-criminalize-training-ai-cha.
  42. Nvidia. (2026, January 7). Cosmos celebrates 5 million downloads on first anniversary. NVIDIA Developer Forum. Retrieved from https://www.nvidia.com/en-us/ai/cosmos/.
  43. Reeves, B., & Nass, C. (1996). The Media Equation: How People Treat Computers, Television, and New Media Like Real People and Places. Cambridge University Press.
  44. Ressler, R. K., Burgess, A. W., & Douglas, J. E. (1988). Sexual Homicide: Patterns and Motives. Lexington Books.
  45. Reuters. (2026, February 18). AI pioneer Fei-Fei Li’s World Labs raises $1 billion in funding. Retrieved from https://www.reuters.com/business/ai-pioneer-fei-fei-lis-world-labs-raises-1-billion-funding-2026-02-18/.
  46. Robins, L. N. (1978). Sturdy childhood predictors of adult antisocial behaviour: Replications from longitudinal studies. Psychological Medicine, 8(4), 611–622.
  47. Rosenthal-von der Pütten, A. M., Krämer, N. C., Hoffmann, L., Sobieraj, S., & Eimler, S. C. (2013). An experimental study on emotional reactions towards a robot. International Journal of Social Robotics, 5(1), 17–34.
  48. Slater, M. (2009). Place illusion and plausibility can lead to realistic behaviour in immersive virtual environments. Philosophical Transactions of the Royal Society B, 364(1535), 3549–3557.
  49. Slater, M., Spanlang, B., Sánchez-Vives, M. V., & Blanke, O. (2010). First person experience of body transfer in virtual reality. PLoS ONE, 5(5), e10564.
  50. Spelke, E. S., Phillips, A., & Woodward, A. L. (1995). Infants’ knowledge of object motion and human action. In D. Sperber, D. Premack, & A. J. Premack (Eds.), Causal Cognition: A Multidisciplinary Debate (pp. 44–78). Oxford University Press.
  51. Tamborini, R. (2011). Moral intuition and media entertainment. Journal of Media Psychology, 23(1), 39–45.
  52. Transparency Coalition for AI. (2026, April 3). AI legislative update. Retrieved from https://www.transparencycoalition.ai/news/ai-legislative-update-april3-2026.
  53. Troutman Pepper. (2026, April 2). Tennessee enacts health care AI bill with private right of action. Retrieved from https://www.troutmanprivacy.com/2026/04/tennessee-enacts-health-care-ai-bill-with-private-right-of-action/.
  54. World Labs. (2025, November 12). Marble: A multimodal world model. Retrieved from https://www.worldlabs.ai/blog/marble-world-model.
  55. World Labs. (2026, January 21). Announcing the World API. Retrieved from https://www.worldlabs.ai/blog/announcing-the-world-api.
  56. Wright, J., & Hensley, C. (2003). From animal cruelty to serial murder: Applying the graduation hypothesis. International Journal of Offender Therapy and Comparative Criminology, 47(1), 71–88.

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