Fair or Not? The Ethics of Unseen Data in AI Training
June 2024
An analysis of consent, transparency, ownership, and fairness in large-language-model training data.
AI EthicsLarge Language ModelsResearch Presentation
This presentation examined the ethical issues surrounding undisclosed or unseen data in artificial intelligence training, with a focus on large language models.
It considered questions of consent, transparency, ownership, and fairness in modern machine-learning datasets.
Highlights
- Analyzed the ethical implications of using undisclosed data in LLM training.
- Examined consent, transparency, ownership, and fairness in machine-learning datasets.