World Summit AI has never shied away from big discussions. Our community of 52,000 multi-disciplinary experts, focused on solving real-life challenges using AI and emerging technology, have asked us for alternative opportunities to learn, debate and hear insights from experts – with one of the first suggested topics to be on how to put AI to work for the planet.

Dear WSAI community, 

Welcome to your new (and free) World Summit AI webinar series. 

 We are bringing AI experts to you from a range of businesses to go beyond the buzz and hype, share their developments, real-life use cases, successes, challenges and the resultant impact on their businesses.

By Jean-Simon Venne, Chief Technology Officer & Co-Founder at BrainBox AI

There’s no doubt that commercial property owners, architects, engineers and more, have embraced greener buildings in one form or another, with a growing number committing to environmentally sustainable practices. In fact, according to the Dodge Data & Analytics World Green Building Trends 2018 SmartMarket Report:  

Last week, we created our first-ever virtual summit - over 450 virtual meetings and 12,300 connections (and still counting) were made on our AI-powered matchmaking platform.

Our community has always been at the heart of everything we do. We build summits in line with the UN global goals, we create meaningful dialogue around global tech for good. Therefore, we feel it would be contradictory of us not to take action in light of the rapidly evolving COVID-19 situation.

World Summit AI Americas returns to Montréal, Canada, on 25th-26th March 2020, and will gather the major influencers in AI globally across business, science and technology. The full AI ecosystem will be present, including startups, academics, investors, business leaders, big tech, lawyers, government and policymakers.

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”.

We are delighted to welcome Celeste Kidd, Assistant Professor of Psychology at UC Berkeley as the opening headliner at World Summit AI Americas this March in Montreal, talking about ‘How to Know’.

Celeste’s research focuses on about how people come to know what they know. The world is a sea of information too vast for any one person to acquire entirely. How then do people navigate the information overload, and how do their decisions shape their knowledge and beliefs?

Do we judge humans and machines equally? Or are our judgments biased depending on who or what is performing an action?

Dozens of experiments have been carried out to compare people's judgments of humans and machines across a variety of situations: from algorithmic bias in hiring decisions, and from autonomous weapons to self-driving vehicles and labor displacement.