Vector Institute launches UnBias-Plus bias-detection toolkit

For practitioners: Tools that automate bias detection and neutral rewriting can materially change dataset curation, content review, and compliance workflows. The Vector Institute released UnBias-Plus on June 30, 2026, a free toolkit that Vector researchers describe as able to detect, explain, and rewrite biased language in written content and AI training datasets, according to a GlobeNewswire press release and BetaKit reporting. An arXiv preprint for the project documents features including segment-level multi-class bias classification, biased-span localization, neutral-text rewriting, and per-decision reasoning, and lists code and models as publicly available; the preprint also notes code metadata (release v0.1.6) and runtime requirements (Python >=3.10, GPU with CUDA 12.4 recommended). BetaKit quotes Vector applied-ML scientist Shaina Raza on the project rationale.