Plagiarism, Credit, and the Problem of AI’s Knowledge Base
AI and Ethics Pt: 3
TL;DR: The problem with AI and plagiarism is not whether machines “copy”, but whether a system built on uncredited human knowledge can ever meaningfully respect authorship. When attribution disappears at scale, plagiarism stops being a violation and becomes infrastructure.
The Echo and the Voice: AI, Art, and the Problem of Meaning
AI and Ethics Pt: 2
TL;DR: AI does not create experience. It reflects it. The moment this becomes unsettling is not when the output feels convincing, but when it quietly reveals how much meaning we bring with us. I did not begin thinking about AI and meaning through theory. I arrived there through music, almost by accident.
On Being Curious About Artificial Intelligence
AI and Ethics Pt: 1
TL;DR: Artificial Intelligence is not interesting because it is clever. It is interesting because it forces a re-examination of how learning, expertise, and meaning are formed. The ethical question lies not in machine output, but in how humans choose to value and decide what those results are worth.