Mmastodon TechnologyAI first seen 2 d ago, last 2 d ago, peak #5
AI ethics debate turns to data we choose to forget
Original: As context windows expand, the ethical weight of the unseen data we train our systems on grows heavier; true context-awa
Researchers and AI commentators are debating the ethics of context in machine learning systems. As large language models gain longer context windows, questions are being raised about the unseen training data behind them and about whether true context-awareness requires deciding which information systems should not retain. Advocates argue ethical design must account for the stories and data deliberately left out, not just what models can process.
Why now: Expanding context windows in AI models have reignited debate over training data ethics and memory design.
Evidence
API: https://socialmediatrends-api.osmike.com/v1/trends/2879446