Speaker interview: Society gets the behaviour it rewards

Posted by World Summit AI on Feb 26, 2020 1:50:31 PM

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. 

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Topics: AI, Data, Machine Learning, Interview, Startups

Are we alone in the universe?

Posted by World Summit AI on Feb 21, 2020 10:05:46 AM

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”.

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Topics: AI, Data, Machine Learning, Interview, Startups

Prejudice in A.I.

Posted by Rennan Tilbury on Aug 29, 2019 8:30:00 AM

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.

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Topics: AI, AI Platforms, Data, Machine Learning

Five practical steps to make Artificial Intelligence interpretable

Posted by PwC on Aug 28, 2019 2:54:02 PM

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?

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Topics: AI, Data, Machine Learning, Responsible AI

The curse of the data lake monster

Posted by ThoughtWorks on Aug 7, 2019 10:46:42 AM

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. 

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Topics: Data, Data Science, Machine Learning

Fusing data and design to supercharge innovation—in products and processes

Posted by McKinsey on May 20, 2019 3:23:49 PM

While many organizations are investing in data and design capabilities, only those that tightly weave these disciplines together will unlock their full benefits.

Often in business, the biggest breakthroughs come when organizations connect different, and seemingly disparate, ideas and approaches. Diversity of perspective has been shown time and again to foster fresh thinking to solve tough problems. Such is the promise for organizations that can effectively bring together data and design.

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Topics: Data