OpenAI: Explainability and reasoning should inform future AI models

OpenAI conducts an enormous amount of research in AI subfields from computer vision to natural language processing (NLP). The San Francisco-based firm -- which was cofounded by CTO Greg Brockman, chief scientist Ilya Sutskever, and others with a $1 billion in backing from luminaries like LinkedIn cofounder Reid Hoffman and Y Combinator chairman Sam Altman -- last year detailed an AI robotics system capable of human-like dexterity. The capped-profit company's Dota 2 bot recently defeated 99.4% of players in public matches and a team of professional players twice, and its most sophisticated NLP model can generate convincingly humanlike short stories and Amazon reviews from whole cloth. Unsurprisingly, there's been a lot of learnings in the roughly three and a half years since OpenAI's inception. At VentureBeat's Transform 2019 conference, Brockman and Sutskever touched on advances in hardware and transparency with respect to AI, and on the topic of responsible disclosure.