Technology News and Headlines

More Data Isn’t Always Better for AI Decisions

MIT researchers challenge the assumption that more data always improves AI decisions. They propose a framework that identifies the minimal dataset needed to guarantee an optimal decision under uncertainty, and an algorithm that tests whether additional data could change the outcome. The approach pinpoints the exact data point required if uncertainty remains, and computes the optimal decision using only that minimal data. For banks, this could cut data costs, speed model cycles, and enhance regulatory transparency.