From detecting breast cancer in x-ray scans, to predicting emergency room volumes, to alerting governments to a potential pandemic, AI has become a critical tool in the healthcare industry. But how reliable is this technology, and how much should we depend on it when human lives are at risk?                Avery speaks with Microsoft's Chief Data Analytics Officer, John Kahan on whether the field of medicine can safely keep pace with the speed of technological innovation, and then talks with the Deputy Chief of Emergency Medicine, and Medical Director of Information and Technology at Toronto's St. Michael's hospital, Dr. Alun Ackery on how AI is being used day to day in a hospital setting.

<description>&lt;p&gt; From detecting breast cancer in x-ray scans, to predicting emergency room volumes, to alerting governments to a potential pandemic, AI has become a critical tool in the healthcare industry. But how reliable is this technology, and how much should we depend on it when human lives are at risk?                &lt;/p&gt;&lt;p&gt;Avery speaks with Microsoft's Chief Data Analytics Officer, John Kahan on whether the field of medicine can safely keep pace with the speed of technological innovation, and then talks with the Deputy Chief of Emergency Medicine, and Medical Director of Information and Technology at Toronto's St. Michael's hospital, Dr. Alun Ackery on how AI is being used day to day in a hospital setting.  &lt;/p&gt;&lt;p&gt; &lt;/p&gt;
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 From detecting breast cancer in x-ray scans, to predicting emergency room volumes, to alerting governments to a potential pandemic, AI has become a critical tool in the healthcare industry. But how reliable is this technology, and how much should we depend on it when human lives are at risk?                                                                                                                                   

Could AI prevent the next pandemic?

Over the last few years, countless companies and organizations are getting wise to the fact that diverse teams perform better, and that AI may have a role to play when it comes to dismantling bias, and building a more inclusive and equitable workforce. But what are the risks of trusting an algorithm to assemble a team?                                     Avery speaks with tech founder Sinead Bovell on whether it's actually possible to create neutral AI. She also speaks to Microsoft's Chief Diversity Officer, Lindsay-Rae McIntyre on the relationship between human judgment and technology when it comes to hiring, and then talks to the CEO and Founder of Plum.io, Caitlin MacGregor on how her company is using technology to help employers reach their diversity and inclusion goals.

<description>&lt;p&gt;Over the last few years, countless companies and organizations are getting wise to the fact that diverse teams perform better, and that AI may have a role to play when it comes to dismantling bias, and building a more inclusive and equitable workforce. But what are the risks of trusting an algorithm to assemble a team?                                     &lt;/p&gt;&lt;p&gt;Avery speaks with tech founder Sinead Bovell on whether it's actually possible to create neutral AI. She also speaks to Microsoft's Chief Diversity Officer, Lindsay-Rae McIntyre on the relationship between human judgment and technology when it comes to hiring, and then talks to the CEO and Founder of Plum.io, Caitlin MacGregor on how her company is using technology to help employers reach their diversity and inclusion goals.&lt;/p&gt;
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Over the last few years, countless companies and organizations are getting wise to the fact that diverse teams perform better, and that AI may have a role to play when it comes to dismantling bias, and building a more inclusive and equitable workforce. But what are the risks of trusting an algorithm to assemble a team?                                                                                                                       


How can AI build more inclusive workplaces?

Whether it's unlocking your phone with your face, or sorting through pictures of your friends, chances are you've interacted with facial recognition technology over the last few years. And while facial recognition tech makes our lives more organized and convenient, it can also be used in concerning ways.Avery speaks with Microsoft Canada's Chief Technology Officer, John Weigelt on Microsoft's principaled stance on the use of Facial Recognition Technology. She then chats with tech law expert Dr. Michael Geist on the consequences of "opting in" to photo apps, and finally talks with the Senior Fellow at the Centre for International Governance Innovation, Bianca Wylie on why "data trusts" could be the key to navigating complex issues of consent in the tech world.

<description>&lt;p&gt;Whether it's unlocking your phone with your face, or sorting through pictures of your friends, chances are you've interacted with facial recognition technology over the last few years. And while facial recognition tech makes our lives more organized and convenient, it can also be used in concerning ways.&lt;/p&gt;&lt;p&gt;Avery speaks with Microsoft Canada's Chief Technology Officer, John Weigelt on Microsoft's principaled stance on the use of Facial Recognition Technology. She then chats with tech law expert Dr. Michael Geist on the consequences of "opting in" to photo apps, and finally talks with the Senior Fellow at the Centre for International Governance Innovation, Bianca Wylie on why "data trusts" could be the key to navigating complex issues of consent in the tech world.&lt;/p&gt;
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Whether it's unlocking your phone with your face, or sorting through pictures of your friends, chances are you've interacted with facial recognition technology over the last few years. And while facial recognition tech makes our lives more organized and convenient, it can also be used in concerning ways.

Is facial recognition technology trustworthy?

According to a recent study by Deloitte, the majority of Canadians don’t trust A.I. But where does that distrust come from, and what are the repercussions of letting it stifle A.I. innovation?To get the answers, Avery speaks with former co-CEO of Research In Motion Jim Balsillie about the social and economic consequences of Canadians failing to embrace A.I, and then talks with Microsoft’s Head of A.I. Policy and Ethics, Tim O’Brien to try and understand our inherent fear of artificial intelligence. And while we’re on topic, we also ask about one of the most infamous A.I. learning experiences in recent memory  - What exactly happened with Tay in 2016? "

<description>&lt;p&gt;According to a recent study by Deloitte, the majority of Canadians don’t trust A.I. But where does that distrust come from, and what are the repercussions of letting it stifle A.I. innovation?&lt;/p&gt;&lt;p&gt;To get the answers, Avery speaks with former co-CEO of Research In Motion Jim Balsillie about the social and economic consequences of Canadians failing to embrace A.I, and then talks with Microsoft’s Head of A.I. Policy and Ethics, Tim O’Brien to try and understand our inherent fear of artificial intelligence. And while we’re on topic, we also ask about one of the most infamous A.I. learning experiences in recent memory  - What exactly happened with Tay in 2016?&lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;p&gt;"&lt;/p&gt;&lt;p&gt; &lt;/p&gt;
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According to a recent study by Deloitte, the majority of Canadians don’t trust A.I. But where does that distrust come from, and what are the repercussions of letting it stifle A.I. innovation?

Can we afford not to trust AI?

<description>In season 1 of A.I. Meets World, we explored the many ways that Artificial Intelligence is benefiting our society. But recent studies show that Canadians still have concerns.
Season 2 of A.I. Meets World is all about asking the experts the tough questions when it comes to AI and public trust: How will AI affect privacy? Is AI innovation at odds with public safety? Will AI help or hinder the shift to a more equitable society? Join tech author and founder Avery Swartz as she guides listeners on a four-episode journey, examining the potential of AI, trying to understand why Canadians don’t trust it, and envisioning a society that leverages AI for good.

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In season 1 of A.I. Meets World, we explored the many ways that Artificial Intelligence is benefiting our society. But recent studies show that Canadians still have concerns.
Season 2 of A.I. Meets World is all about asking the experts the tough questions when it comes to AI and public trust: How will AI affect privacy? Is AI innovation at odds with public safety? Will AI help or hinder the shift to a more equitable society? Join tech author and founder Avery Swartz as she guides listeners on a four-episode journey, examining the potential of AI, trying to understand why Canadians don’t trust it, and envisioning a society that leverages AI for good.


Coming soon:  Season 2 of A.I. Meets World

From the Jetsons to the Terminator, our expectations of AI looked very different 20 or even 10 years ago.
Season 1 explored the many ways that Artificial Intelligence is benefiting our society. But recent studies show that Canadians still have concerns.
This season is all about asking the experts the tough questions when it comes to AI and public trust: How will AI affect privacy? Is AI innovation at odds with public safety? Will AI help or hinder the shift to a more equitable society?

A.I. Meets World

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