Artificial Epistemology: Knowledge, Truth, and Value in Machine Learning

Fri, Dec 7 2018 - 5:00pm to 6:00pm
Seelye 201, Two Seelye Drive

"Artificial Epistemology: Knowledge, Truth, and Value in Machine Learning" by Heather Roff, senior research analyst, National Security Analysis Department, Johns Hopkins Applied Physics Laboratory. There is often a lack of understanding about what Artificial Intelligence (AI) and Machine Learning (ML) actually are and what they do. This talk seeks to provide a first step in answering pressing questions about the adoption of AI by examining AI from the perspective of epistemology. As intelligence, whether natural or artificial, is purposive, we must have some knowledge about the ends it seeks to pursue. We must begin from difficult questions about the nature of knowledge, justified belief, truth, and value. From there, we can examine specific AI and ML applications to larger social, political and ethical questions.

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