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.

Challenges are what make life interesting, and overcoming them is what makes life meaningful - Joshua J. Marine

We're calling out to all experts from our 51,000 community members to help us solve some of medicine's greatest challenges. If you have the tech expertise to work together in multi-disciplinary groups to solve the grand challenges below, join us for practical outcomes:

It wasn’t all that long ago that we considered AI to be an industry that focused solely on robots that could comprehensively speak the same language as us and understand it in return. Nowadays, AI assists us in predicting the weather and answering questions on business websites. It’s this diverse range of possibilities that make it such a unique industry to join, particularly for those who are trained engineers and programmers.