Algorithmic Anthropology: Mapping Human Identity in the Age of Generative AI

Title

Algorithmic Anthropology: Mapping Human Identity in the Age of Generative AI

Author

1. Chikeziri oparah, Student, University in Ibadan, Nigeria
2. Ochiname P, Lecturer, University in Ibadan, Nigeria

Abstract

The rapid rise of generative artificial intelligence (AI) has introduced a new chapter in the human–technology relationship, one that challenges traditional understandings of identity, culture, and agency. Unlike earlier computational systems that operated primarily as tools, generative AI systems such as ChatGPT, DALL·E, MidJourney, and Gemini function as cultural co-creators: they produce text, images, sounds, and decisions that directly interact with human meaning-making practices. This paper introduces the concept of algorithmic anthropology, a new interdisciplinary approach to studying how AI technologies mediate and transform human identity. Drawing on anthropological theories, digital ethnography, and case studies from finance, art, and everyday human–machine interactions, the research examines how generative AI influences self-expression, cultural continuity, and social relationships. Findings highlight the dual role of AI as both an enabler of creativity and accessibility and a potential source of homogenization, bias, and cultural erasure. By situating AI as an active cultural agent rather than a passive tool, this paper argues that anthropological inquiry must adapt to capture the dynamics of algorithmic co-authorship. The discussion points to broader implications for ethics, inclusivity, and governance, calling for a holistic framework that balances innovation with respect for diverse cultural identities. Ultimately, algorithmic anthropology provides a lens through which to reimagine human identity in an age where algorithms and humans are entwined in the co-production of meaning.

Keywords

Conclusion

This paper introduced algorithmic anthropology as a framework for studying identity in the age of generative AI. Drawing on digital anthropology, sociology of algorithms, identity studies, and AI ethics, the research demonstrated how generative AI reshapes selfhood across domains such as creativity, finance, storytelling, and companionship.

The findings highlight both opportunities—such as democratizing cultural production and enabling accessibility—and risks, including bias, cultural erasure, and ethical concerns. By situating AI as a cultural co-author, algorithmic anthropology provides tools to reimagine human identity as hybrid, relational, and contested.

Future research should deepen this inquiry by examining ritual uses of AI, algorithmic spirituality, and long-term cultural transformations. Ultimately, the challenge for anthropology is to embrace a posthuman vision where humans and algorithms co-produce meaning, while ensuring that this process remains inclusive, ethical, and diverse.

Author Contrubution

The study's design, data collection, result analysis, and manuscript preparation were entirely managed by the author.

Funding

No specific funding was provided by any public, commercial, or non-profit sectors for this study.

Conflict of Interest

The authors disclose no conflicts of interest in relation to this work.

Data Sharing Statement

Not applicable.

Software And Tools Use

Not applicable.

Acknowledgements

Thanks to all who provided assistance and expertise for this research and manuscript, and to the peer reviewers for their constructive feedback.