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    <title>The Smith Business Insight Podcast - Episodes Tagged with “Smith Business”</title>
    <link>https://smithinsight.fireside.fm/tags/smith%20business</link>
    <pubDate>Tue, 14 Nov 2023 11:30:00 -0500</pubDate>
    <description>Tune in for a different take on business, with professors, researchers and experts from Smith School of Business. Understand the rapidly evolving corporate world, stay ahead of the curve, and navigate a landscape that is no longer defined by the balance sheet alone.
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    <language>en-us</language>
    <itunes:type>episodic</itunes:type>
    <itunes:subtitle>Fresh ideas from Smith School of Business at Queen’s Universit</itunes:subtitle>
    <itunes:author>Smith Business Insight</itunes:author>
    <itunes:summary>Tune in for a different take on business, with professors, researchers and experts from Smith School of Business. Understand the rapidly evolving corporate world, stay ahead of the curve, and navigate a landscape that is no longer defined by the balance sheet alone.
</itunes:summary>
    <itunes:image href="https://media24.fireside.fm/file/fireside-images-2024/podcasts/images/2/248a6c23-a4d6-42d7-9703-916c3caec8e7/cover.jpg?v=3"/>
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      <itunes:name>Smith Business Insight</itunes:name>
      <itunes:email>smithinsight@queensu.ca</itunes:email>
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<itunes:category text="Business">
  <itunes:category text="Careers"/>
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<itunes:category text="Business">
  <itunes:category text="Marketing"/>
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<item>
  <title>Episode 22:  AI Reality Check: The AI Colleague</title>
  <link>https://smithinsight.fireside.fm/22</link>
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  <pubDate>Tue, 14 Nov 2023 11:30:00 -0500</pubDate>
  <author>Smith Business Insight</author>
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  <itunes:episodeType>full</itunes:episodeType>
  <itunes:season>4</itunes:season>
  <itunes:author>Smith Business Insight</itunes:author>
  <itunes:subtitle>Say hello to the newest member of your team: Cathy Cobot. And goodbye to predictable team dynamics</itunes:subtitle>
  <itunes:duration>38:00</itunes:duration>
  <itunes:explicit>no</itunes:explicit>
  <itunes:image href="https://media24.fireside.fm/file/fireside-images-2024/podcasts/images/2/248a6c23-a4d6-42d7-9703-916c3caec8e7/episodes/6/64b773e1-eec3-49bc-8613-dbf206bc897e/cover.jpg?v=1"/>
  <description>While AI will surely take over some jobs lock, stock and barrel, the more likely scenario is that we will have to share our jobs with AI entities. It can be challenging enough to work with fellow humans and understand their emotions and thinking styles. What will it be like working with super-smart non-humans? Will it change how we behave or make us question our judgment? Will it keep tabs on our performance?
This episode explores these questions with guests Tracy Jenkin, an associate professor at Smith and a faculty affiliate at the Vector Institute for Artificial Intelligence, and Anton Ovchinnikov, Distinguished Professor of Management Analytics. Dr. Jenkin and Dr. Ovchinnikov discuss what they’ve learned so far from their research that explores human-AI collaboration and cognitive processes. They are joined in conversation by host Meredith Dault.
 Special Guests: Anton Ovchinnikov and Tracy Jenkin.
</description>
  <itunes:keywords>AI impact on jobs, Human-AI collaboration, Future of work, Working with AI entities, Emotional intelligence with AI, Cognitive processes, Job sharing with AI, Impact on behavior and judgment, Performance monitoring by AI, Tracy Jenkin, Vector Institute for Artificial Intelligence, Anton Ovchinnikov, Management Analytics, Smith School of Business, Meredith Dault</itunes:keywords>
  <content:encoded>
    <![CDATA[<p>While AI will surely take over some jobs lock, stock and barrel, the more likely scenario is that we will have to share our jobs with AI entities. It can be challenging enough to work with fellow humans and understand their emotions and thinking styles. What will it be like working with super-smart non-humans? Will it change how we behave or make us question our judgment? Will it keep tabs on our performance?</p>

<p>This episode explores these questions with guests Tracy Jenkin, an associate professor at Smith and a faculty affiliate at the Vector Institute for Artificial Intelligence, and Anton Ovchinnikov, Distinguished Professor of Management Analytics. Dr. Jenkin and Dr. Ovchinnikov discuss what they’ve learned so far from their research that explores human-AI collaboration and cognitive processes. They are joined in conversation by host Meredith Dault.</p><p>Special Guests: Anton Ovchinnikov and Tracy Jenkin.</p>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>While AI will surely take over some jobs lock, stock and barrel, the more likely scenario is that we will have to share our jobs with AI entities. It can be challenging enough to work with fellow humans and understand their emotions and thinking styles. What will it be like working with super-smart non-humans? Will it change how we behave or make us question our judgment? Will it keep tabs on our performance?</p>

<p>This episode explores these questions with guests Tracy Jenkin, an associate professor at Smith and a faculty affiliate at the Vector Institute for Artificial Intelligence, and Anton Ovchinnikov, Distinguished Professor of Management Analytics. Dr. Jenkin and Dr. Ovchinnikov discuss what they’ve learned so far from their research that explores human-AI collaboration and cognitive processes. They are joined in conversation by host Meredith Dault.</p><p>Special Guests: Anton Ovchinnikov and Tracy Jenkin.</p>]]>
  </itunes:summary>
</item>
<item>
  <title>Episode 21: AI Reality Check: Legal Disruptors</title>
  <link>https://smithinsight.fireside.fm/21</link>
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  <pubDate>Tue, 14 Nov 2023 11:00:00 -0500</pubDate>
  <author>Smith Business Insight</author>
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  <itunes:episodeType>full</itunes:episodeType>
  <itunes:season>4</itunes:season>
  <itunes:author>Smith Business Insight</itunes:author>
  <itunes:subtitle>AI has the potential to take over almost half of the work in law firms and to give individuals and small businesses easier and less expensive access to pricey legal services</itunes:subtitle>
  <itunes:duration>26:21</itunes:duration>
  <itunes:explicit>no</itunes:explicit>
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  <description>The legal profession is one of the first to feel the brunt of the artificial intelligence revolution. AI techniques such as machine learning are helping legal practitioners review contracts, prepare for litigation and even predict legal outcomes. ChatGPT has already been used in court cases. There’s even talk of robot judges in our future.
This episode features Samuel Dahan, a law professor at Queen’s and Cornell universities and director of the Conflict Analytics Lab at Smith School of Business. Dr. Dahan is one of the world’s leading authorities on AI and the law and is well-placed to discuss how AI will impact the way legal services are delivered. He is joined in conversation by host Meredith Dault.
 Special Guest: Samuel Dahan.
</description>
  <itunes:keywords>AI in the legal profession, Machine learning in law, Contract review, Litigation preparation, Predictive legal outcomes, ChatGPT in court cases, Robot judges, Conflict Analytics Lab, Impact of AI on legal services, Samuel Dahan, AI and the law, Legal services delivery, Queen's University, Cornell University, Meredith Dault</itunes:keywords>
  <content:encoded>
    <![CDATA[<p>The legal profession is one of the first to feel the brunt of the artificial intelligence revolution. AI techniques such as machine learning are helping legal practitioners review contracts, prepare for litigation and even predict legal outcomes. ChatGPT has already been used in court cases. There’s even talk of robot judges in our future.</p>

<p>This episode features Samuel Dahan, a law professor at Queen’s and Cornell universities and director of the Conflict Analytics Lab at Smith School of Business. Dr. Dahan is one of the world’s leading authorities on AI and the law and is well-placed to discuss how AI will impact the way legal services are delivered. He is joined in conversation by host Meredith Dault.</p><p>Special Guest: Samuel Dahan.</p>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>The legal profession is one of the first to feel the brunt of the artificial intelligence revolution. AI techniques such as machine learning are helping legal practitioners review contracts, prepare for litigation and even predict legal outcomes. ChatGPT has already been used in court cases. There’s even talk of robot judges in our future.</p>

<p>This episode features Samuel Dahan, a law professor at Queen’s and Cornell universities and director of the Conflict Analytics Lab at Smith School of Business. Dr. Dahan is one of the world’s leading authorities on AI and the law and is well-placed to discuss how AI will impact the way legal services are delivered. He is joined in conversation by host Meredith Dault.</p><p>Special Guest: Samuel Dahan.</p>]]>
  </itunes:summary>
</item>
<item>
  <title>Episode 20: AI Reality Check: Marketing Unbound</title>
  <link>https://smithinsight.fireside.fm/20</link>
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  <pubDate>Tue, 14 Nov 2023 10:00:00 -0500</pubDate>
  <author>Smith Business Insight</author>
  <enclosure url="https://aphid.fireside.fm/d/1437767933/248a6c23-a4d6-42d7-9703-916c3caec8e7/110345fb-a7b2-4aa6-a5b6-510b20e82e8c.mp3" length="46999672" type="audio/mpeg"/>
  <itunes:episodeType>full</itunes:episodeType>
  <itunes:season>4</itunes:season>
  <itunes:author>Smith Business Insight</itunes:author>
  <itunes:subtitle>Generative AI is getting so good that the human touch in marketing may be a thing of the past</itunes:subtitle>
  <itunes:duration>32:36</itunes:duration>
  <itunes:explicit>no</itunes:explicit>
  <itunes:image href="https://media24.fireside.fm/file/fireside-images-2024/podcasts/images/2/248a6c23-a4d6-42d7-9703-916c3caec8e7/episodes/1/110345fb-a7b2-4aa6-a5b6-510b20e82e8c/cover.jpg?v=1"/>
  <description>It’s hard to imagine what advertising and marketing in general will look like given the speed of development in the AI constellation of technologies. Today, wholesale automation of marketing functions, hyper-personalized targeting and predictive forecasting. Tomorrow, AI bots on sales calls?
This episode takes a decidedly analytical look at AI-enabled marketing with guest Ceren Kolsarici, Ian R. Friendly Fellow of Marketing and director of the Scotiabank Centre for Customer Analytics at Smith School of Business. Dr. Kolsarici talks about the speed bumps that could slow AI adoption and shares what marketers need to do now to lay the groundwork for what’s to come. She is joined in conversation by host Meredith Dault.
 Special Guest: Ceren Kolsarici.
</description>
  <itunes:keywords>AI in advertising, Marketing technology, Automation in marketing, Hyper-personalized targeting, Predictive forecasting, AI bots in sales, AI-enabled marketing, Customer analytics, AI adoption challenges, Future of marketing, Ceren Kolsarici, Scotiabank Centre for Customer Analytics, Marketing groundwork, Meredith Dault</itunes:keywords>
  <content:encoded>
    <![CDATA[<p>It’s hard to imagine what advertising and marketing in general will look like given the speed of development in the AI constellation of technologies. Today, wholesale automation of marketing functions, hyper-personalized targeting and predictive forecasting. Tomorrow, AI bots on sales calls?</p>

<p>This episode takes a decidedly analytical look at AI-enabled marketing with guest Ceren Kolsarici, Ian R. Friendly Fellow of Marketing and director of the Scotiabank Centre for Customer Analytics at Smith School of Business. Dr. Kolsarici talks about the speed bumps that could slow AI adoption and shares what marketers need to do now to lay the groundwork for what’s to come. She is joined in conversation by host Meredith Dault.</p><p>Special Guest: Ceren Kolsarici.</p>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>It’s hard to imagine what advertising and marketing in general will look like given the speed of development in the AI constellation of technologies. Today, wholesale automation of marketing functions, hyper-personalized targeting and predictive forecasting. Tomorrow, AI bots on sales calls?</p>

<p>This episode takes a decidedly analytical look at AI-enabled marketing with guest Ceren Kolsarici, Ian R. Friendly Fellow of Marketing and director of the Scotiabank Centre for Customer Analytics at Smith School of Business. Dr. Kolsarici talks about the speed bumps that could slow AI adoption and shares what marketers need to do now to lay the groundwork for what’s to come. She is joined in conversation by host Meredith Dault.</p><p>Special Guest: Ceren Kolsarici.</p>]]>
  </itunes:summary>
</item>
<item>
  <title>Episode 19: AI Reality Check: AI-Powered HR</title>
  <link>https://smithinsight.fireside.fm/19</link>
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  <pubDate>Tue, 14 Nov 2023 09:00:00 -0500</pubDate>
  <author>Smith Business Insight</author>
  <enclosure url="https://aphid.fireside.fm/d/1437767933/248a6c23-a4d6-42d7-9703-916c3caec8e7/9613cc0f-61d7-467b-89b8-b7cdffe91080.mp3" length="44306343" type="audio/mpeg"/>
  <itunes:episodeType>full</itunes:episodeType>
  <itunes:season>4</itunes:season>
  <itunes:author>Smith Business Insight</itunes:author>
  <itunes:subtitle>From recruitment to retention, next-generation platforms promise to streamline humdrum workplace functions and enhance employee experience</itunes:subtitle>
  <itunes:duration>30:44</itunes:duration>
  <itunes:explicit>no</itunes:explicit>
  <itunes:image href="https://media24.fireside.fm/file/fireside-images-2024/podcasts/images/2/248a6c23-a4d6-42d7-9703-916c3caec8e7/episodes/9/9613cc0f-61d7-467b-89b8-b7cdffe91080/cover.jpg?v=1"/>
  <description>The corporate HR department has typically been the butt of jokes and scorn, and HR executives often struggle to make their voices heard on top management teams. In the age of AI, huge amounts of people management data — from employee surveys to performance reports — can be fed into natural language processing systems to glean insights that could help organizations work smarter and more efficiently. That will make HR executives important drivers of workplace transformation.
This episode features the insights of two HR experts who are also Smith School of Business alumni. Heidi Klotz is vice-president, total rewards and people analytics, at AtkinsRéalis (formerly SNC-Lavalin). And Dagmar Christianson is a London, England-based consultant in workforce transformation and the future of work. The two discuss how HR leaders will have to prepare employees for the technology disruption to come. They are joined in conversation by host Meredith Dault. 
</description>
  <itunes:keywords>Corporate HR, HR executives, AI in people management, Natural Language Processing (NLP) systems, Workplace transformation, HR experts, Total rewards, People analytics, Technology disruption, Employee preparation, Smith School of Business alumni, Atkins Réalis, Workforce transformation, Future of work, Meredith Dault</itunes:keywords>
  <content:encoded>
    <![CDATA[<p>The corporate HR department has typically been the butt of jokes and scorn, and HR executives often struggle to make their voices heard on top management teams. In the age of AI, huge amounts of people management data — from employee surveys to performance reports — can be fed into natural language processing systems to glean insights that could help organizations work smarter and more efficiently. That will make HR executives important drivers of workplace transformation.</p>

<p>This episode features the insights of two HR experts who are also Smith School of Business alumni. Heidi Klotz is vice-president, total rewards and people analytics, at AtkinsRéalis (formerly SNC-Lavalin). And Dagmar Christianson is a London, England-based consultant in workforce transformation and the future of work. The two discuss how HR leaders will have to prepare employees for the technology disruption to come. They are joined in conversation by host Meredith Dault.</p>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>The corporate HR department has typically been the butt of jokes and scorn, and HR executives often struggle to make their voices heard on top management teams. In the age of AI, huge amounts of people management data — from employee surveys to performance reports — can be fed into natural language processing systems to glean insights that could help organizations work smarter and more efficiently. That will make HR executives important drivers of workplace transformation.</p>

<p>This episode features the insights of two HR experts who are also Smith School of Business alumni. Heidi Klotz is vice-president, total rewards and people analytics, at AtkinsRéalis (formerly SNC-Lavalin). And Dagmar Christianson is a London, England-based consultant in workforce transformation and the future of work. The two discuss how HR leaders will have to prepare employees for the technology disruption to come. They are joined in conversation by host Meredith Dault.</p>]]>
  </itunes:summary>
</item>
<item>
  <title>Episode 18: AI Reality Check: Battling Bias</title>
  <link>https://smithinsight.fireside.fm/18</link>
  <guid isPermaLink="false">7a4c0b6b-8905-4113-9a1f-91bc7c0e9c09</guid>
  <pubDate>Tue, 14 Nov 2023 08:00:00 -0500</pubDate>
  <author>Smith Business Insight</author>
  <enclosure url="https://aphid.fireside.fm/d/1437767933/248a6c23-a4d6-42d7-9703-916c3caec8e7/7a4c0b6b-8905-4113-9a1f-91bc7c0e9c09.mp3" length="48580811" type="audio/mpeg"/>
  <itunes:episodeType>full</itunes:episodeType>
  <itunes:season>4</itunes:season>
  <itunes:author>Smith Business Insight</itunes:author>
  <itunes:subtitle>Algorithms hobbled by human biases are playing havoc with people’s lives. How do we best respond to the challenge?</itunes:subtitle>
  <itunes:duration>33:42</itunes:duration>
  <itunes:explicit>no</itunes:explicit>
  <itunes:image href="https://media24.fireside.fm/file/fireside-images-2024/podcasts/images/2/248a6c23-a4d6-42d7-9703-916c3caec8e7/episodes/7/7a4c0b6b-8905-4113-9a1f-91bc7c0e9c09/cover.jpg?v=1"/>
  <description>From high school students given the wrong marks just as they’re applying to university to Black defendants misclassified as higher risk for reoffending, AI is driving unfair and damaging outcomes. Technology firms promise what they call Responsible AI. But can they really deliver if they can’t keep up with the speed of change? Can governments impose ethical standards and safe use of AI-based systems and products?
In this episode, Anton Ovchinnikov, Distinguished Professor of Management Analytics at Smith School of Business, discusses his groundbreaking research into the government response to algorithmic bias and what happens when large language models are fed AI-generated synthetic content rather than human-generated content. He is joined in conversation by host Meredith Dault.
 Special Guest: Anton Ovchinnikov.
</description>
  <itunes:keywords>smith, smith business, smith insight, AI-driven unfair outcomes, Algorithmic bias, Responsible AI, Ethical standards, Safe use of AI, Government response to bias, AI-generated synthetic content, Technology firms, Speed of change, Distinguished Professor, Management Analytics, Anton Ovchinnikov, Smith School of Business, Large language models, Human-generated content, Meredith Dault</itunes:keywords>
  <content:encoded>
    <![CDATA[<p>From high school students given the wrong marks just as they’re applying to university to Black defendants misclassified as higher risk for reoffending, AI is driving unfair and damaging outcomes. Technology firms promise what they call Responsible AI. But can they really deliver if they can’t keep up with the speed of change? Can governments impose ethical standards and safe use of AI-based systems and products?</p>

<p>In this episode, Anton Ovchinnikov, Distinguished Professor of Management Analytics at Smith School of Business, discusses his groundbreaking research into the government response to algorithmic bias and what happens when large language models are fed AI-generated synthetic content rather than human-generated content. He is joined in conversation by host Meredith Dault.</p><p>Special Guest: Anton Ovchinnikov.</p>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>From high school students given the wrong marks just as they’re applying to university to Black defendants misclassified as higher risk for reoffending, AI is driving unfair and damaging outcomes. Technology firms promise what they call Responsible AI. But can they really deliver if they can’t keep up with the speed of change? Can governments impose ethical standards and safe use of AI-based systems and products?</p>

<p>In this episode, Anton Ovchinnikov, Distinguished Professor of Management Analytics at Smith School of Business, discusses his groundbreaking research into the government response to algorithmic bias and what happens when large language models are fed AI-generated synthetic content rather than human-generated content. He is joined in conversation by host Meredith Dault.</p><p>Special Guest: Anton Ovchinnikov.</p>]]>
  </itunes:summary>
</item>
<item>
  <title>Episode 17: AI Reality Check: Welcome to the Age of AI</title>
  <link>https://smithinsight.fireside.fm/17</link>
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  <pubDate>Tue, 14 Nov 2023 07:00:00 -0500</pubDate>
  <author>Smith Business Insight</author>
  <enclosure url="https://aphid.fireside.fm/d/1437767933/248a6c23-a4d6-42d7-9703-916c3caec8e7/84c63436-a114-462c-bb8f-39ff56e4f5ec.mp3" length="41683230" type="audio/mpeg"/>
  <itunes:episodeType>full</itunes:episodeType>
  <itunes:season>4</itunes:season>
  <itunes:author>Smith Business Insight</itunes:author>
  <itunes:subtitle>Take a tour inside the big tent of artificial intelligence to learn which applications are starring, which are not ready for prime time and whether any are worth trusting</itunes:subtitle>
  <itunes:duration>28:55</itunes:duration>
  <itunes:explicit>no</itunes:explicit>
  <itunes:image href="https://media24.fireside.fm/file/fireside-images-2024/podcasts/images/2/248a6c23-a4d6-42d7-9703-916c3caec8e7/episodes/8/84c63436-a114-462c-bb8f-39ff56e4f5ec/cover.jpg?v=1"/>
  <description>Whether we know it or not, we interact with AI-driven systems multiple times a day. Some of us are even using generative AI as a dating coach or to write standup comedy. Yet technology insiders are raising the alarm that we’re moving too fast for society’s good. 
Our guest, Stephen Thomas, Distinguished Professor of Management Analytics and the executive director of the Analytics and AI Ecosystems at Smith School of Business, brings us up to date on which AI system or platform is already making an impact and how individuals and organizations can safely harness the disruptive power of AI. He is joined in conversation by host Meredith Dault. 
</description>
  <itunes:keywords>AI-driven systems, Generative AI, Technology insiders, Societal impact, Management Analytics, AI Ecosystems, Smith School of Business, Disruptive technology, AI impact on individuals, AI impact on organizations, Harnessing AI safely, AI platforms, Stephen Thomas, Meredith Dault, Data analytics</itunes:keywords>
  <content:encoded>
    <![CDATA[<p>Whether we know it or not, we interact with AI-driven systems multiple times a day. Some of us are even using generative AI as a dating coach or to write standup comedy. Yet technology insiders are raising the alarm that we’re moving too fast for society’s good. </p>

<p>Our guest, Stephen Thomas, Distinguished Professor of Management Analytics and the executive director of the Analytics and AI Ecosystems at Smith School of Business, brings us up to date on which AI system or platform is already making an impact and how individuals and organizations can safely harness the disruptive power of AI. He is joined in conversation by host Meredith Dault.</p>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>Whether we know it or not, we interact with AI-driven systems multiple times a day. Some of us are even using generative AI as a dating coach or to write standup comedy. Yet technology insiders are raising the alarm that we’re moving too fast for society’s good. </p>

<p>Our guest, Stephen Thomas, Distinguished Professor of Management Analytics and the executive director of the Analytics and AI Ecosystems at Smith School of Business, brings us up to date on which AI system or platform is already making an impact and how individuals and organizations can safely harness the disruptive power of AI. He is joined in conversation by host Meredith Dault.</p>]]>
  </itunes:summary>
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