We present a text mining system to support the exploration of large volumes of text detailing the findings of government inquiries. Despite their historical significance and potential societal impact, key findings of inquiries are often hidden within lengthy documents and remain inaccessible to the general public. We transform the findings of the Irish government's inquiry into industrial schools and through the use of word embedding, text classification and visualization, present an interactive web-based platform that enables the exploration of the text to uncover new historical insights.

The UK--s House of Lords recently announced a public call for experts to weigh in on issues surrounding artificial intelligence (AI). A Select Committee is to look at the economic, ethical and social implications of advances in AI. There has been much talk about AI -- will it help to tackle global poverty, malnutrition and inequality as this UN conference explored? Or is Elon Musk correct in his belief that AI is --vastly more risky than North Korea--? There are plenty of examples of AI already in use today, like this European bank using --Amelia--* to improve customer service, and it seems pretty clear that the technology can deliver very tangible advantages.