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@article{185194,
author = {DAMARAJU PRADEEP KUMAR and Dr. K. Rajbir Kumar},
title = {The Anthropocene Algorithm: Navigating the Ethical Responsibilities of AI in Human-Nature Co-existence},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {12},
number = {5},
pages = {935-944},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=185194},
abstract = {The Anthropocene foregrounds an era in which human actions profoundly reshape ecological systems, demanding new frameworks to understand the role of technology in sustaining life on Earth. This paper theorizes the “Anthropocene Algorithm” as both a conceptual tool and an ethical challenge for artificial intelligence (AI), emphasizing how algorithmic systems mediate the relationship between human progress and ecological resilience. Rather than treating AI as a neutral innovation, the study frames it as an active participant in the reconfiguration of human-nature relations, with responsibilities that extend beyond anthropocentric priorities.
The paper examines the paradoxical position of AI in the Anthropocene, where algorithmic infrastructures contribute significantly to environmental degradation through resource extraction, data intensification, and energy consumption, while simultaneously offering critical means for ecological monitoring, climate mitigation, and sustainable resource governance. This ambivalence calls for a recalibration of AI ethics that situates environmental sustainability as integral to technological design and deployment, expanding existing discussions that focus narrowly on human-centered values.
Engaging with environmental ethics, posthumanist scholarship, and critical algorithm studies, the analysis establishes the Anthropocene Algorithm as a framework for embedding ecological awareness within AI governance. It demonstrates how ethical principles such as precaution, accountability, sustainability, and intergenerational justice can be operationalized within computational systems, fostering technologies that acknowledge ecological limits and responsibilities. This approach highlights the necessity of interdisciplinary collaboration, drawing insights from law, philosophy, data science, and environmental studies to guide value-sensitive innovation.
Ultimately, the study argues that a genuinely ethical AI for the Anthropocene requires a move beyond anthropocentric paradigms toward ecocentric and relational models of coexistence. By incorporating indigenous knowledge systems, non-Western philosophies, and pluralistic forms of ecological wisdom, the Anthropocene Algorithm provides a normative framework for aligning technological futures with planetary well-being. This perspective underscores the role of AI not merely as a symptom of the Anthropocene but as a transformative site where more just and sustainable modes of existence may be cultivated.},
keywords = {Anthropocene, Artificial Intelligence, Environmental Ethics, Human-Nature Relations, Algorithmic Governance, Ecocentrism, Sustainability, Posthumanism},
month = {October},
}
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