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AI as an Epistemic Technology
1Philosophy Department, University of Oregon, Eugene, OR, USA. ralvarad@uoregon.edu.
Science and Engineering Ethics
|August 21, 2023
Summary
Artificial Intelligence (AI) and its data science methods are primarily epistemic technologies, designed for inquiry and data manipulation. Understanding AI as an epistemic tool impacts debates on explainability, trust, and AI
Area of Science:
- Philosophy of Technology
- Artificial Intelligence Studies
- Epistemology
Background:
- Artificial Intelligence (AI) encompasses machine learning and large language models.
- AI's role in data science is rapidly expanding.
- The nature of technology is often defined by its purpose and function.
Purpose of the Study:
- To establish AI as primarily an epistemic technology.
- To differentiate epistemic technologies from other technologies.
- To explore the implications of viewing AI through an epistemic lens.
Main Methods:
- Conceptual analysis of technology and epistemic technologies.
- Argumentation for AI's unique position as an epistemic technology.
- Review of existing literature on AI philosophy and ethics.
Main Results:
- AI is fundamentally an epistemic technology due to its design and operations.
- AI is uniquely suited for epistemic contexts like inquiry, data manipulation, prediction, and analysis.
- Viewing AI as an epistemic technology has significant ethical and philosophical implications.
Conclusions:
- AI's primary function aligns with epistemic goals, distinguishing it from other technologies.
- Understanding AI's epistemic nature is crucial for addressing issues of explainability, opacity, and trust.
- This perspective informs critical discussions on potential epistemic harms associated with AI.
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