MIT researchers have created a way to turn baffling AI decisions into plain English, using an innovative system that acts like a translator between machines and humans.EXPLINGO pairs artificial intelligence (AI) language models with a built-in fact-checker to turn complex machine-learning explanations into clear narratives. It’s part of an ongoing effort to make AI more explainable.“Our goal with this research was to take the first step toward allowing users to have full-blown conversations with machine-learning models about the reasons they made certain predictions, so they can make better decisions about whether to listen to the model,” Alexandra Zytek, lead author of a paper on this technique, said in a news release.This technology could help businesses provide clearer explanations to customers about AI-driven decisions, from product recommendations to loan applications. The ability to better understand AI reasoning could also help companies refine their automated systems to better serve customer needs while maintaining transparency about how decisions are made.From Machine Language to Plain EnglishThe system works in two stages. First, it takes dense technical data and visualizations that explain an AI decision and transforms them into readable paragraphs. Then, a quality-control mechanism automatically evaluates whether these plain-English explanations are accurate and reliable. Users can customize the explanations to match their expertise level or specific needs, making it possible for retailers and others to understand why an AI system made a particular choice.“Retail was, for a long time, the land of gut instincts — except now, AI is supposed to have the better gut,” Lars Nyman, chief marketing officer at CUDO Compute, told PYMNTS

Built in partnership with leading digital product studio ustwo , RadQuest offers a repeatable onboarding experience that is engaging, educational, and intuitive enough for anyone to useRadQuest is the latest milestone in Radix's Breakout2024, a year of initiatives designed to build momentum in the ecosystemLONDON, July 30, 2024 /PRNewswire/ -- Radix, a layer-1 smart contract platform working towards infinite scalability while providing an intuitive user and developer experience, today launches RadQuest, a fully mobile-ready Web3 gamified onboarding platform designed to enable anyone to easily and confidently use Web3 and DeFi on Radix. RadQuest is the latest milestone in Radix's Breakout2024, a year of initiatives designed to build momentum in the ecosystem.Users are accompanied by Jetty, a guide to help users through their RadQuest journey, set up accounts, stake XRD, use decentralized exchanges and more.Built in collaboration with leading digital product studio ustwo, developers of the award-winning mobile game Monument Valley, RadQuest offers a repeatable onboarding experience that is engaging, educational, and intuitive enough for people, regardless of their familiarity with Web3.To address the common industry challenge around mainstreaming Web3, RadQuest guides users into Web3 by gamifying the user onboarding process via easy to understand "quests", on-chain assets as rewards, and example scenarios of common Web3 and DeFi interactions. All of this is done in a way to make it easy for anyone to feel confident using Radix either on their smartphone or their computer.By completing a sequence of onboarding "quests", users will be able to earn tokenized rewards that can be combined into collectible "RadMorph" NFTs. Users can also earn over $20 in XRD tokens while they experience core features of Radix, such as its human-readable transactions, Radix Network staking – as well as learn how to use dApps like DEXs that utilize Radix's asset-oriented Scrypto smart contract language. The launch of RadQuest comes shortly after the launch of Radix Connect for Mobile, which enables users to seamlessly access dApps through their mobile browsers.Piers Ridyard, CEO of RDX Works, said "We wanted to create an onboarding experience of a calibre never seen before in Web3. Reflecting the ethos of how the entire Radix ecosystem has been built, RadQuest is fun and intuitive enough for anyone to use, regardless of their Web3 experience