Exploring Pain as an Evolutionary Tool: Implications for AI and Ethical Design

Authors: Michael Roberts, Kira Brady

SUNY Campus: SUNY Morrisville

Presentation Type: Poster

Location: Old Union Hall

Presentation #: 39

Timeslot: Session A 9:00-10:00 AM

Abstract: Pain is a fundamental evolutionary mechanism that shapes behavior, cognition, and social interaction. Often regarded as merely a source of suffering, pain is deeply intertwined with fear responses and decision-making, helping organisms navigate complex environments. In both humans and animals, pain not only prompts protective behaviors but also strengthens social bonds essential for survival. This exploration delves into the intricate relationship between pain, cognition, and behavior, considering how these insights might inform artificial intelligence (AI) design. By examining research on animal pain perception and concepts in reinforcement learning, we explore whether AI could benefit from mechanisms analogous to biological pain to enhance decision-making and risk assessment. However, integrating such mechanisms raises significant technical and ethical questions, including issues of autonomy, suffering, and moral responsibility. We consider the potential for AI to develop moral sensibilities and navigate ethical dilemmas in ways that parallel human experience, while also addressing the risks of creating systems that mimic pain without true autonomy. Ultimately, this exploration highlights the ethical implications of incorporating pain-like mechanisms into AI and advocates for a thoughtful, responsible approach to their development.