Competing Visions for AI
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Oscar Schwartz
Abstract
In this paper, I will investigate how two competing visions of machine intelligence put forward by Alan Turing and J. C. R Licklider - one that emphasized automation and another that emphasized augmentation - have informed experiments in computational creativity, from early attempts at computer-generated art and poetry in the 1960s, up to recent experiments that utilise Machine Learning to generate paintings and music. I argue that while our technological capacities have changed, the foundational conflict between Turing’s vision and Licklider’s vision plays itself out in generations of programmers and artists who explore the computer’s creative potential. Moreover, I will demonstrate that this conflict does not only inform technical/artistic practice, but speaks to a deeper philosophical and ideological divide concerning the narrative of a post-human future. While Turing’s conception of human-equivalent AI informs a transhumanist imaginary of super-intelligent, conscious, anthropomorphic machines, Licklider’s vision of symbiosis underpins formulations of the cyborg as human-machine hybrid, aligning more closely with a critical post-human imaginary in which boundaries between the human and technological become mutable and up for re-negotiation. In this article, I will explore how one of the functions of computational creativity is to highlight, emphasise and sometimes thematise these conflicting post-human imaginaries.
© 2018 by transcript Verlag
Articles in the same Issue
- Titelei
- Content
- Introduction
- I. Methodological and Conceptual Reflections
- Can We Think Without Categories?
- Secret Agents
- Voices from the Uncanny Valley
- II. Epistemologies and Media Genealogy
- Educational AI
- Competing Visions for AI
- Pervasive Intelligence
- Where the Sun never Shines
- III. Politics and Media Research
- The Coming Political
- On the Media-political Dimension of Artificial Intelligence
- Automated State of Play
- IV. Entering the Field
- Visual Tactics Toward an Ethical Debugging
- Unconventional Classifiers and Anti-social Machine Intelligences
- Biographical Notes
Articles in the same Issue
- Titelei
- Content
- Introduction
- I. Methodological and Conceptual Reflections
- Can We Think Without Categories?
- Secret Agents
- Voices from the Uncanny Valley
- II. Epistemologies and Media Genealogy
- Educational AI
- Competing Visions for AI
- Pervasive Intelligence
- Where the Sun never Shines
- III. Politics and Media Research
- The Coming Political
- On the Media-political Dimension of Artificial Intelligence
- Automated State of Play
- IV. Entering the Field
- Visual Tactics Toward an Ethical Debugging
- Unconventional Classifiers and Anti-social Machine Intelligences
- Biographical Notes
