In an era where artificial intelligence is advancing rapidly but raising deep ethical and environmental questions, two faculty members at The University of Akron (UA) are contributing to a bold new vision for the future of AI that is inspired by nature itself.
Dr. John Huss, professor and chair of the Department of Philosophy, and Dr. Peter H. Niewiarowski, professor of integrated bioscience in the Department of Biology, are co-authors of a newly published research paper proposing a biomimetic and ethically grounded framework for artificial intelligence. The article, titled Ethically Grounded Design Paradigm for AI: A Biomimetic Approach, was published in Sciforum and co-authored by Dr. Paweł Polak and Dr. Roman Krzanowski of the Pontifical University of John Paul II in Kraków, Poland. The full paper can be accessed at: https://sciforum.net/paper/view/23219.
The paper revisits the biological roots of AI and argues for a reorientation of how artificial intelligence is designed and implemented. Drawing on the concept of biomimicry — the practice of learning from nature’s evolutionary innovations — the authors advocate for AI systems that are more energy-efficient, ethically responsible and ecologically embedded.
The research points out that many of today’s AI systems, particularly large language models and other high-powered platforms, consume enormous amounts of energy and computing resources. According to the authors, this trajectory is unsustainable and raises serious environmental concerns.
Beyond environmental impacts, the paper also delves into questions of ethics and human-AI interaction. The researchers argue that for AI to be genuinely beneficial, it must incorporate ethical principles such as empathy, cooperation, and humility — traits found in natural symbiotic systems.
The authors suggest that biomimicry can help address these challenges by serving as a guide for how AI might evolve in ways that are aligned with life on Earth. By examining mutualistic relationships in nature — such as symbiosis between species — the researchers propose models for “beneficial AI” that coexist with, rather than dominate, its human and environmental context.
