Jana Novohradska, AI Consultant to Deputy Prime Minister`s Office of Slovakia & Gender Equality Rapporteur CAHAI Council of Europe, is one of the panelists on our 'Governing AI' panel at World Summit AI Americas in Montreal. We caught up with her ahead of the summit.
He may only be 13, but Artash Nath has already been working at the interface of space, robotics and artificial intelligence for the last few years, presenting his projects at multiple international conferences. He is interested in deep space exploration and has been applying machine learning models to space challenges, including predicting risk index of an asteroid collision with Earth and detecting atmospheres of exoplanets using simulated data from space telescopes. His ongoing project is on creating curious and intelligent machines that learn by being placed in an immersive environment. They make efforts to understand cause and effect and are not hesitant to ask “why”.
Over the past 25 years, computers have slowly encroached into the domain of human intellect, the machines first victory was in 1997 when Kasparov lost to Deep Blue at Chess1. Since then A.I. have continued to expand the games they can beat us at, from Go to Poker, and Shogi to Starcraft2. These achievements of machine learning, whilst shockingly impressive, are in stark contrast to the failures of A.I. in the real world.
Werner Vogels, VP & CTO at Amazon will take to the stage for the opening headline session on day two at World Summit AI 2019 (Thursday 10th October) and ahead of their appearance we asked Werner a few questions about Amazon’s approach to machine learning, AI use for enterprise and which industry is being revolutionised by AI adoption. Read on for the full Q&A.
If AI is to gain people’s trust, organisations should ensure they are able to account for the decisions that AI makes, and explain them to the people affected. Making AI interpretable can foster trust, enable control and make the results produced by machine learning more actionable. How can AI-based decisions therefore be explained?
Having information is key. Understanding the right information is a success.
And these are the two features where artificial intelligence seems to be winning over human capabilities in stock picking.
Artificial intelligence and machine learning are currently all the rage. Every organization is trying to jump on this bandwagon and cash in on their data reserves. At ThoughtWorks, we’d agree that this tech has huge potential — but as with all things, realizing value depends on understanding how best to use it.