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Benjamin Peters(b. 1980)

Portrait of Benjamin Peters

Benjamin Peters (born 1980) is an American media scholar, author, and professor known for his work on the history of communication technologies, information theory, and the social dimensions of digital networks. He serves as the Hazel Rogers Professor of Communication at the University of Tulsa and has held affiliations with several prominent research institutions.

Peters is best known for his book How Not to Network a Nation: The Uneasy History of the Soviet Internet (2016), which explores the failed attempts to build a nationwide computer network in the Soviet Union and examines how social and political systems shape technological development. The work received widespread acclaim for its interdisciplinary approach, bridging media studies, history, and science and technology studies. He has also edited Digital Keywords: A Vocabulary of Information Society and Culture (2016), contributing to critical discourse around the language and concepts underpinning the digital age.

Peters’s scholarship carries resonance for those interested in the intersection of technology, human potential, and collective aspiration. By investigating how societies envision and fail to realize transformative technological projects, his work illuminates the deeply human⁠—and often ideological⁠—dimensions of networked communication. His research reminds us that the tools we build to connect and elevate humanity are always embedded in moral, political, and even spiritual frameworks. For communities exploring themes of theosis and the cooperative pursuit of transcendence through technology, Peters’s insights into the promises and pitfalls of networked societies offer valuable perspective on how human aspiration and systemic constraints interact in the ongoing project of building a better world.

Videos by Benjamin Peters

Keynote - Alt.AI: Why the Best Future of Machine Learning Is Modest
45:55

Benjamin Peters

Keynote - Alt.AI: Why the Best Future of Machine Learning Is Modest

2024.04.13

This keynote presents an alternative genealogy of artificial intelligence by examining Soviet contributions to statistical thinking—from Lobachevsky's non-Euclidean geometry to Markov chains, Kolmogorov's probability theory, and Yushchenko's pioneering work on pointers. The speaker argues that AI is fundamentally "people using statistical tools" and calls for a modest, humane approach that acknowledges the plural, uncertain futures these techniques have always modeled—drawing parallels between LDS values of community and kinship and the collaborative networks that powered computing's development.