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		<title>The IDEMS Podcast: Alternatives to AI Empires</title>
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		<link>https://www.idems.international/series/ai-empires/</link>
		<description>Inspired by Karen Hao’s book &quot;Empire of AI&quot; and the &quot;Earthkeepers versus AI Empires&quot; convening in Zambia, this series explores alternative approaches to the social and technical realities of the AI boom. Drawing on over a decade of experience building technology-enabled systems for social impact, David Stern and Kate Fleming reflect on questions of community ownership, data governance, interoperability, human expertise, and collaboration. Together they explore what it would take to build AI that strengthens communities rather than concentrating power, and what a more democratic and community-centred technological future might look like.</description>
		<lastBuildDate>Thu, 20 Aug 2026 19:55:42 +0000</lastBuildDate>
		<language>en-GB</language>
		<copyright>© 2026 IDEMS International Community Interest Company (CIC)</copyright>
		<itunes:subtitle>Innovations in Development, Education and the Mathematical Sciences</itunes:subtitle>
		<itunes:author>IDEMS International Community Interest Company (CIC)</itunes:author>
		<itunes:summary>Inspired by Karen Hao’s book &quot;Empire of AI&quot; and the &quot;Earthkeepers versus AI Empires&quot; convening in Zambia, this series explores alternative approaches to the social and technical realities of the AI boom. Drawing on over a decade of experience building technology-enabled systems for social impact, David Stern and Kate Fleming reflect on questions of community ownership, data governance, interoperability, human expertise, and collaboration. Together they explore what it would take to build AI that strengthens communities rather than concentrating power, and what a more democratic and community-centred technological future might look like.</itunes:summary>
		<itunes:owner>
			<itunes:name>IDEMS International Community Interest Company (CIC)</itunes:name>
			<itunes:email>podcasts@idems.international</itunes:email>
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		<itunes:explicit>false</itunes:explicit>
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			<image>
				<url>https://www.idems.international/wp-content/uploads/2024/01/IDEMS-Podcast-Logo.png</url>
				<title>The IDEMS Podcast: Alternatives to AI Empires</title>
				<link>https://www.idems.international/series/ai-empires/</link>
			</image>
		<itunes:category text="Technology">
		</itunes:category>
		<googleplay:author><![CDATA[IDEMS International Community Interest Company (CIC)]]></googleplay:author>
			<googleplay:email>podcasts@idems.international</googleplay:email>			<googleplay:description>Inspired by Karen Hao’s book &quot;Empire of AI&quot; and the &quot;Earthkeepers versus AI Empires&quot; convening in Zambia, this series explores alternative approaches to the social and technical realities of the AI boom. Drawing on over a decade of experience building technology-enabled systems for social impact, David Stern and Kate Fleming reflect on questions of community ownership, data governance, interoperability, human expertise, and collaboration. Together they explore what it would take to build AI that strengthens communities rather than concentrating power, and what a more democratic and community-centred technological future might look like.</googleplay:description>
			<googleplay:explicit>No</googleplay:explicit>
			<googleplay:image href="https://www.idems.international/wp-content/uploads/2024/01/IDEMS-Podcast-Logo.png"></googleplay:image>
			<podcast:locked owner="podcasts@idems.international">yes</podcast:locked>
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<item>
	<title>12. The Power of the AI Narrative</title>
	<link>https://www.idems.international/podcast/the-power-of-the-ai-narrative/</link>
	<pubDate>Wed, 24 Jun 2026 15:54:00 +0000</pubDate>
	<dc:creator><![CDATA[IDEMS International Community Interest Company (CIC)]]></dc:creator>
	<guid isPermaLink="false">https://www.idems.international/?post_type=podcast&#038;p=12717</guid>
	<description><![CDATA[In the final episode of the series, David and Kate explore the power of narratives in shaping the future of AI. Inspired by Karen Hao’s Empire of AI, they discuss how messaging, lobbying, and financial influence have created a sense of inevitability around one particular vision of AI, while alternative approaches struggle to gain visibility. They reflect on the importance of articulating and championing alternative visions for AI, concluding with a call for the liberation of AI from AI empires.]]></description>
	<itunes:subtitle><![CDATA[In the final episode of the series, David and Kate explore the power of narratives in shaping the future of AI. Inspired by Karen Hao’s Empire of AI, they discuss how messaging, lobbying, and financial influence have created a sense of inevitability arou]]></itunes:subtitle>
	<content:encoded><![CDATA[In the final episode of the series, David and Kate explore the power of narratives in shaping the future of AI. Inspired by Karen Hao’s Empire of AI, they discuss how messaging, lobbying, and financial influence have created a sense of inevitability around one particular vision of AI, while alternative approaches struggle to gain visibility. They reflect on the importance of articulating and championing alternative visions for AI, concluding with a call for the liberation of AI from AI empires.]]></content:encoded>
	<enclosure url="https://www.idems.international/podcast-download/12717/the-power-of-the-ai-narrative.mp3" length="19579825" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[In the final episode of the series, David and Kate explore the power of narratives in shaping the future of AI. Inspired by Karen Hao’s Empire of AI, they discuss how messaging, lobbying, and financial influence have created a sense of inevitability around one particular vision of AI, while alternative approaches struggle to gain visibility. They reflect on the importance of articulating and championing alternative visions for AI, concluding with a call for the liberation of AI from AI empires.]]></itunes:summary>
	<itunes:image href="https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png"></itunes:image>
	<image>
		<url>https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png</url>
		<title>12. The Power of the AI Narrative</title>
	</image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>20:24</itunes:duration>
	<itunes:author><![CDATA[IDEMS International Community Interest Company (CIC)]]></itunes:author>	<googleplay:description><![CDATA[In the final episode of the series, David and Kate explore the power of narratives in shaping the future of AI. Inspired by Karen Hao’s Empire of AI, they discuss how messaging, lobbying, and financial influence have created a sense of inevitability around one particular vision of AI, while alternative approaches struggle to gain visibility. They reflect on the importance of articulating and championing alternative visions for AI, concluding with a call for the liberation of AI from AI empires.]]></googleplay:description>
	<googleplay:image href="https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
</item>

<item>
	<title>11. The Future of Work Beyond AI Empires</title>
	<link>https://www.idems.international/podcast/the-future-of-work-beyond-ai-empires/</link>
	<pubDate>Wed, 24 Jun 2026 15:44:58 +0000</pubDate>
	<dc:creator><![CDATA[IDEMS International Community Interest Company (CIC)]]></dc:creator>
	<guid isPermaLink="false">https://www.idems.international/?post_type=podcast&#038;p=12698</guid>
	<description><![CDATA[Continuing their exploration of alternatives to today’s dominant AI paradigm, David and Kate reflect on what the future of work could look like beyond AI empires. They discuss the role of education, apprenticeships, and human expertise in a world increasingly shaped by AI, and consider how technology might free people to focus on more creative, collaborative, and meaningful work. The conversation highlights the importance of building alternative visions for the future and asks how societies can create systems that value human development, collaboration, and social impact alongside technological progress.]]></description>
	<itunes:subtitle><![CDATA[Continuing their exploration of alternatives to today’s dominant AI paradigm, David and Kate reflect on what the future of work could look like beyond AI empires. They discuss the role of education, apprenticeships, and human expertise in a world increas]]></itunes:subtitle>
	<content:encoded><![CDATA[Continuing their exploration of alternatives to today’s dominant AI paradigm, David and Kate reflect on what the future of work could look like beyond AI empires. They discuss the role of education, apprenticeships, and human expertise in a world increasingly shaped by AI, and consider how technology might free people to focus on more creative, collaborative, and meaningful work. The conversation highlights the importance of building alternative visions for the future and asks how societies can create systems that value human development, collaboration, and social impact alongside technological progress.]]></content:encoded>
	<enclosure url="https://www.idems.international/podcast-download/12698/the-future-of-work-beyond-ai-empires.mp3" length="31332845" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[Continuing their exploration of alternatives to today’s dominant AI paradigm, David and Kate reflect on what the future of work could look like beyond AI empires. They discuss the role of education, apprenticeships, and human expertise in a world increasingly shaped by AI, and consider how technology might free people to focus on more creative, collaborative, and meaningful work. The conversation highlights the importance of building alternative visions for the future and asks how societies can create systems that value human development, collaboration, and social impact alongside technological progress.]]></itunes:summary>
	<itunes:image href="https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png"></itunes:image>
	<image>
		<url>https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png</url>
		<title>11. The Future of Work Beyond AI Empires</title>
	</image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>32:38</itunes:duration>
	<itunes:author><![CDATA[IDEMS International Community Interest Company (CIC)]]></itunes:author>	<googleplay:description><![CDATA[Continuing their exploration of alternatives to today’s dominant AI paradigm, David and Kate reflect on what the future of work could look like beyond AI empires. They discuss the role of education, apprenticeships, and human expertise in a world increasingly shaped by AI, and consider how technology might free people to focus on more creative, collaborative, and meaningful work. The conversation highlights the importance of building alternative visions for the future and asks how societies can create systems that value human development, collaboration, and social impact alongside technological progress.]]></googleplay:description>
	<googleplay:image href="https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
</item>

<item>
	<title>10. The Foundations of Community-Centred AI</title>
	<link>https://www.idems.international/podcast/the-foundations-of-community-centred-ai/</link>
	<pubDate>Wed, 24 Jun 2026 15:42:58 +0000</pubDate>
	<dc:creator><![CDATA[IDEMS International Community Interest Company (CIC)]]></dc:creator>
	<guid isPermaLink="false">https://www.idems.international/?post_type=podcast&#038;p=12692</guid>
	<description><![CDATA[Building on their exploration of alternatives to today’s dominant AI paradigm, David and Kate discuss what a community-centred approach to AI might look like. They explore the importance of collaboration, deep interoperability, distributed ownership, and adaptability, arguing that effective AI systems should strengthen communities rather than replace them. The conversation considers how communities can retain agency over their data, tools, and knowledge while remaining connected to wider networks of learning and innovation.]]></description>
	<itunes:subtitle><![CDATA[Building on their exploration of alternatives to today’s dominant AI paradigm, David and Kate discuss what a community-centred approach to AI might look like. They explore the importance of collaboration, deep interoperability, distributed ownership, and]]></itunes:subtitle>
	<content:encoded><![CDATA[Building on their exploration of alternatives to today’s dominant AI paradigm, David and Kate discuss what a community-centred approach to AI might look like. They explore the importance of collaboration, deep interoperability, distributed ownership, and adaptability, arguing that effective AI systems should strengthen communities rather than replace them. The conversation considers how communities can retain agency over their data, tools, and knowledge while remaining connected to wider networks of learning and innovation.]]></content:encoded>
	<enclosure url="https://www.idems.international/podcast-download/12692/the-foundations-of-community-centred-ai.mp3" length="26112955" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[Building on their exploration of alternatives to today’s dominant AI paradigm, David and Kate discuss what a community-centred approach to AI might look like. They explore the importance of collaboration, deep interoperability, distributed ownership, and adaptability, arguing that effective AI systems should strengthen communities rather than replace them. The conversation considers how communities can retain agency over their data, tools, and knowledge while remaining connected to wider networks of learning and innovation.]]></itunes:summary>
	<itunes:image href="https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png"></itunes:image>
	<image>
		<url>https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png</url>
		<title>10. The Foundations of Community-Centred AI</title>
	</image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>27:12</itunes:duration>
	<itunes:author><![CDATA[IDEMS International Community Interest Company (CIC)]]></itunes:author>	<googleplay:description><![CDATA[Building on their exploration of alternatives to today’s dominant AI paradigm, David and Kate discuss what a community-centred approach to AI might look like. They explore the importance of collaboration, deep interoperability, distributed ownership, and adaptability, arguing that effective AI systems should strengthen communities rather than replace them. The conversation considers how communities can retain agency over their data, tools, and knowledge while remaining connected to wider networks of learning and innovation.]]></googleplay:description>
	<googleplay:image href="https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
</item>

<item>
	<title>09. Why AI Matters Now</title>
	<link>https://www.idems.international/podcast/why-ai-matters-now/</link>
	<pubDate>Wed, 24 Jun 2026 15:41:07 +0000</pubDate>
	<dc:creator><![CDATA[IDEMS International Community Interest Company (CIC)]]></dc:creator>
	<guid isPermaLink="false">https://www.idems.international/?post_type=podcast&#038;p=12686</guid>
	<description><![CDATA[Continuing their examination of the assumptions underlying today’s dominant AI narrative, David and Kate reflect on why AI has become such an important topic within IDEMS. They discuss how years of work on community ownership, trust, interoperability, and complex social systems have shaped their thinking, and why recent advances in AI may finally make it possible to build technologies that support rather than constrain local agency. The conversation explores the relationship between technology, governance, and social impact, and considers what kinds of foundations are needed for more distributed and community-centred approaches to AI.]]></description>
	<itunes:subtitle><![CDATA[Continuing their examination of the assumptions underlying today’s dominant AI narrative, David and Kate reflect on why AI has become such an important topic within IDEMS. They discuss how years of work on community ownership, trust, interoperability, an]]></itunes:subtitle>
	<content:encoded><![CDATA[Continuing their examination of the assumptions underlying today’s dominant AI narrative, David and Kate reflect on why AI has become such an important topic within IDEMS. They discuss how years of work on community ownership, trust, interoperability, and complex social systems have shaped their thinking, and why recent advances in AI may finally make it possible to build technologies that support rather than constrain local agency. The conversation explores the relationship between technology, governance, and social impact, and considers what kinds of foundations are needed for more distributed and community-centred approaches to AI.]]></content:encoded>
	<enclosure url="https://www.idems.international/podcast-download/12686/why-ai-matters-now.mp3" length="25069708" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[Continuing their examination of the assumptions underlying today’s dominant AI narrative, David and Kate reflect on why AI has become such an important topic within IDEMS. They discuss how years of work on community ownership, trust, interoperability, and complex social systems have shaped their thinking, and why recent advances in AI may finally make it possible to build technologies that support rather than constrain local agency. The conversation explores the relationship between technology, governance, and social impact, and considers what kinds of foundations are needed for more distributed and community-centred approaches to AI.]]></itunes:summary>
	<itunes:image href="https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png"></itunes:image>
	<image>
		<url>https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png</url>
		<title>09. Why AI Matters Now</title>
	</image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>26:07</itunes:duration>
	<itunes:author><![CDATA[IDEMS International Community Interest Company (CIC)]]></itunes:author>	<googleplay:description><![CDATA[Continuing their examination of the assumptions underlying today’s dominant AI narrative, David and Kate reflect on why AI has become such an important topic within IDEMS. They discuss how years of work on community ownership, trust, interoperability, and complex social systems have shaped their thinking, and why recent advances in AI may finally make it possible to build technologies that support rather than constrain local agency. The conversation explores the relationship between technology, governance, and social impact, and considers what kinds of foundations are needed for more distributed and community-centred approaches to AI.]]></googleplay:description>
	<googleplay:image href="https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
</item>

<item>
	<title>08. Human Capital and the Future of AI</title>
	<link>https://www.idems.international/podcast/human-capital-and-the-future-of-ai/</link>
	<pubDate>Wed, 24 Jun 2026 15:38:53 +0000</pubDate>
	<dc:creator><![CDATA[IDEMS International Community Interest Company (CIC)]]></dc:creator>
	<guid isPermaLink="false">https://www.idems.international/?post_type=podcast&#038;p=12680</guid>
	<description><![CDATA[Continuing their examination of the assumptions underlying today’s dominant AI narrative, David and Kate explore the role of human expertise in building effective AI systems. They discuss the often-overlooked human work that underpins current AI, from reinforcement learning and quality assurance to research, teaching, and domain expertise. The conversation highlights how diverse forms of human capital, collaboration, and innovation may be far more important to the future of AI than simply increasing data and compute.]]></description>
	<itunes:subtitle><![CDATA[Continuing their examination of the assumptions underlying today’s dominant AI narrative, David and Kate explore the role of human expertise in building effective AI systems. They discuss the often-overlooked human work that underpins current AI, from re]]></itunes:subtitle>
	<content:encoded><![CDATA[Continuing their examination of the assumptions underlying today’s dominant AI narrative, David and Kate explore the role of human expertise in building effective AI systems. They discuss the often-overlooked human work that underpins current AI, from reinforcement learning and quality assurance to research, teaching, and domain expertise. The conversation highlights how diverse forms of human capital, collaboration, and innovation may be far more important to the future of AI than simply increasing data and compute.]]></content:encoded>
	<enclosure url="https://www.idems.international/podcast-download/12680/human-capital-and-the-future-of-ai.mp3" length="24392630" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[Continuing their examination of the assumptions underlying today’s dominant AI narrative, David and Kate explore the role of human expertise in building effective AI systems. They discuss the often-overlooked human work that underpins current AI, from reinforcement learning and quality assurance to research, teaching, and domain expertise. The conversation highlights how diverse forms of human capital, collaboration, and innovation may be far more important to the future of AI than simply increasing data and compute.]]></itunes:summary>
	<itunes:image href="https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png"></itunes:image>
	<image>
		<url>https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png</url>
		<title>08. Human Capital and the Future of AI</title>
	</image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>25:24</itunes:duration>
	<itunes:author><![CDATA[IDEMS International Community Interest Company (CIC)]]></itunes:author>	<googleplay:description><![CDATA[Continuing their examination of the assumptions underlying today’s dominant AI narrative, David and Kate explore the role of human expertise in building effective AI systems. They discuss the often-overlooked human work that underpins current AI, from reinforcement learning and quality assurance to research, teaching, and domain expertise. The conversation highlights how diverse forms of human capital, collaboration, and innovation may be far more important to the future of AI than simply increasing data and compute.]]></googleplay:description>
	<googleplay:image href="https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
</item>

<item>
	<title>07. Why Better Data Matters</title>
	<link>https://www.idems.international/podcast/why-better-data-matters/</link>
	<pubDate>Wed, 24 Jun 2026 15:36:27 +0000</pubDate>
	<dc:creator><![CDATA[IDEMS International Community Interest Company (CIC)]]></dc:creator>
	<guid isPermaLink="false">https://www.idems.international/?post_type=podcast&#038;p=12674</guid>
	<description><![CDATA[Continuing their examination of the assumptions underlying today’s dominant AI narrative, David and Kate explore what makes data useful, trustworthy, and meaningful. They discuss the limitations of extraction-based approaches to AI, the importance of local context and data ownership, and the challenges of building systems that can learn across diverse communities without centralising control. The conversation highlights why better data—not just more data—may be key to building more effective and trustworthy AI systems.]]></description>
	<itunes:subtitle><![CDATA[Continuing their examination of the assumptions underlying today’s dominant AI narrative, David and Kate explore what makes data useful, trustworthy, and meaningful. They discuss the limitations of extraction-based approaches to AI, the importance of loc]]></itunes:subtitle>
	<content:encoded><![CDATA[Continuing their examination of the assumptions underlying today’s dominant AI narrative, David and Kate explore what makes data useful, trustworthy, and meaningful. They discuss the limitations of extraction-based approaches to AI, the importance of local context and data ownership, and the challenges of building systems that can learn across diverse communities without centralising control. The conversation highlights why better data—not just more data—may be key to building more effective and trustworthy AI systems.]]></content:encoded>
	<enclosure url="https://www.idems.international/podcast-download/12674/why-better-data-matters.mp3" length="27593351" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[Continuing their examination of the assumptions underlying today’s dominant AI narrative, David and Kate explore what makes data useful, trustworthy, and meaningful. They discuss the limitations of extraction-based approaches to AI, the importance of local context and data ownership, and the challenges of building systems that can learn across diverse communities without centralising control. The conversation highlights why better data—not just more data—may be key to building more effective and trustworthy AI systems.]]></itunes:summary>
	<itunes:image href="https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png"></itunes:image>
	<image>
		<url>https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png</url>
		<title>07. Why Better Data Matters</title>
	</image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>28:45</itunes:duration>
	<itunes:author><![CDATA[IDEMS International Community Interest Company (CIC)]]></itunes:author>	<googleplay:description><![CDATA[Continuing their examination of the assumptions underlying today’s dominant AI narrative, David and Kate explore what makes data useful, trustworthy, and meaningful. They discuss the limitations of extraction-based approaches to AI, the importance of local context and data ownership, and the challenges of building systems that can learn across diverse communities without centralising control. The conversation highlights why better data—not just more data—may be key to building more effective and trustworthy AI systems.]]></googleplay:description>
	<googleplay:image href="https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
</item>

<item>
	<title>06. What Lies Behind AI as a Product?</title>
	<link>https://www.idems.international/podcast/what-lies-behind-ai-as-a-product/</link>
	<pubDate>Wed, 24 Jun 2026 15:34:10 +0000</pubDate>
	<dc:creator><![CDATA[IDEMS International Community Interest Company (CIC)]]></dc:creator>
	<guid isPermaLink="false">https://www.idems.international/?post_type=podcast&#038;p=12668</guid>
	<description><![CDATA[Continuing their examination of the assumptions underlying today’s dominant AI narrative, David and Kate explore the distinction between AI as a product and AI as a sociotechnical system. They reflect on the often-invisible infrastructure, labour, resources, and governance structures that sit behind AI technologies, and discuss why understanding these systems is essential for making informed choices about technology, impact, and innovation. The conversation highlights how different assumptions about ownership, trust, and accountability shape the technologies we build and the societies they serve.]]></description>
	<itunes:subtitle><![CDATA[Continuing their examination of the assumptions underlying today’s dominant AI narrative, David and Kate explore the distinction between AI as a product and AI as a sociotechnical system. They reflect on the often-invisible infrastructure, labour, resour]]></itunes:subtitle>
	<content:encoded><![CDATA[Continuing their examination of the assumptions underlying today’s dominant AI narrative, David and Kate explore the distinction between AI as a product and AI as a sociotechnical system. They reflect on the often-invisible infrastructure, labour, resources, and governance structures that sit behind AI technologies, and discuss why understanding these systems is essential for making informed choices about technology, impact, and innovation. The conversation highlights how different assumptions about ownership, trust, and accountability shape the technologies we build and the societies they serve.]]></content:encoded>
	<enclosure url="https://www.idems.international/podcast-download/12668/what-lies-behind-ai-as-a-product.mp3" length="22146935" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[Continuing their examination of the assumptions underlying today’s dominant AI narrative, David and Kate explore the distinction between AI as a product and AI as a sociotechnical system. They reflect on the often-invisible infrastructure, labour, resources, and governance structures that sit behind AI technologies, and discuss why understanding these systems is essential for making informed choices about technology, impact, and innovation. The conversation highlights how different assumptions about ownership, trust, and accountability shape the technologies we build and the societies they serve.]]></itunes:summary>
	<itunes:image href="https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png"></itunes:image>
	<image>
		<url>https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png</url>
		<title>06. What Lies Behind AI as a Product?</title>
	</image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>23:04</itunes:duration>
	<itunes:author><![CDATA[IDEMS International Community Interest Company (CIC)]]></itunes:author>	<googleplay:description><![CDATA[Continuing their examination of the assumptions underlying today’s dominant AI narrative, David and Kate explore the distinction between AI as a product and AI as a sociotechnical system. They reflect on the often-invisible infrastructure, labour, resources, and governance structures that sit behind AI technologies, and discuss why understanding these systems is essential for making informed choices about technology, impact, and innovation. The conversation highlights how different assumptions about ownership, trust, and accountability shape the technologies we build and the societies they serve.]]></googleplay:description>
	<googleplay:image href="https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
</item>

<item>
	<title>05. The Forces Shaping AI</title>
	<link>https://www.idems.international/podcast/the-forces-shaping-ai/</link>
	<pubDate>Wed, 24 Jun 2026 15:31:22 +0000</pubDate>
	<dc:creator><![CDATA[IDEMS International Community Interest Company (CIC)]]></dc:creator>
	<guid isPermaLink="false">https://www.idems.international/?post_type=podcast&#038;p=12662</guid>
	<description><![CDATA[Continuing their discussion on the future of AI, David and Kate explore the economic and institutional forces shaping today’s dominant AI models. They discuss the roles of investment, monopoly power, research funding, and commercial incentives in driving ever-larger AI systems, and consider how these pressures influence both technological development and public narratives around AI. The conversation highlights why the current trajectory of AI is not inevitable and what alternative paths might look like.]]></description>
	<itunes:subtitle><![CDATA[Continuing their discussion on the future of AI, David and Kate explore the economic and institutional forces shaping today’s dominant AI models. They discuss the roles of investment, monopoly power, research funding, and commercial incentives in driving]]></itunes:subtitle>
	<content:encoded><![CDATA[Continuing their discussion on the future of AI, David and Kate explore the economic and institutional forces shaping today’s dominant AI models. They discuss the roles of investment, monopoly power, research funding, and commercial incentives in driving ever-larger AI systems, and consider how these pressures influence both technological development and public narratives around AI. The conversation highlights why the current trajectory of AI is not inevitable and what alternative paths might look like.]]></content:encoded>
	<enclosure url="https://www.idems.international/podcast-download/12662/the-forces-shaping-ai.mp3" length="21295101" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[Continuing their discussion on the future of AI, David and Kate explore the economic and institutional forces shaping today’s dominant AI models. They discuss the roles of investment, monopoly power, research funding, and commercial incentives in driving ever-larger AI systems, and consider how these pressures influence both technological development and public narratives around AI. The conversation highlights why the current trajectory of AI is not inevitable and what alternative paths might look like.]]></itunes:summary>
	<itunes:image href="https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png"></itunes:image>
	<image>
		<url>https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png</url>
		<title>05. The Forces Shaping AI</title>
	</image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>22:11</itunes:duration>
	<itunes:author><![CDATA[IDEMS International Community Interest Company (CIC)]]></itunes:author>	<googleplay:description><![CDATA[Continuing their discussion on the future of AI, David and Kate explore the economic and institutional forces shaping today’s dominant AI models. They discuss the roles of investment, monopoly power, research funding, and commercial incentives in driving ever-larger AI systems, and consider how these pressures influence both technological development and public narratives around AI. The conversation highlights why the current trajectory of AI is not inevitable and what alternative paths might look like.]]></googleplay:description>
	<googleplay:image href="https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
</item>

<item>
	<title>04. Building Better AI with Less</title>
	<link>https://www.idems.international/podcast/building-better-ai-with-less/</link>
	<pubDate>Wed, 24 Jun 2026 15:28:48 +0000</pubDate>
	<dc:creator><![CDATA[IDEMS International Community Interest Company (CIC)]]></dc:creator>
	<guid isPermaLink="false">https://www.idems.international/?post_type=podcast&#038;p=12656</guid>
	<description><![CDATA[Continuing their discussion on the future of AI, David and Kate explore how advances in large language models could enable a new generation of smaller, more specialised AI systems. They discuss why the next wave of innovation may come from building tools that are more efficient, focused, and responsive to real-world needs rather than simply pursuing ever-larger models.]]></description>
	<itunes:subtitle><![CDATA[Continuing their discussion on the future of AI, David and Kate explore how advances in large language models could enable a new generation of smaller, more specialised AI systems. They discuss why the next wave of innovation may come from building tools]]></itunes:subtitle>
	<content:encoded><![CDATA[Continuing their discussion on the future of AI, David and Kate explore how advances in large language models could enable a new generation of smaller, more specialised AI systems. They discuss why the next wave of innovation may come from building tools that are more efficient, focused, and responsive to real-world needs rather than simply pursuing ever-larger models.]]></content:encoded>
	<enclosure url="https://www.idems.international/podcast-download/12656/building-better-ai-with-less.mp3" length="27161604" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[Continuing their discussion on the future of AI, David and Kate explore how advances in large language models could enable a new generation of smaller, more specialised AI systems. They discuss why the next wave of innovation may come from building tools that are more efficient, focused, and responsive to real-world needs rather than simply pursuing ever-larger models.]]></itunes:summary>
	<itunes:image href="https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png"></itunes:image>
	<image>
		<url>https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png</url>
		<title>04. Building Better AI with Less</title>
	</image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>28:18</itunes:duration>
	<itunes:author><![CDATA[IDEMS International Community Interest Company (CIC)]]></itunes:author>	<googleplay:description><![CDATA[Continuing their discussion on the future of AI, David and Kate explore how advances in large language models could enable a new generation of smaller, more specialised AI systems. They discuss why the next wave of innovation may come from building tools that are more efficient, focused, and responsive to real-world needs rather than simply pursuing ever-larger models.]]></googleplay:description>
	<googleplay:image href="https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
</item>

<item>
	<title>03. Connectionist Versus Symbolist AI</title>
	<link>https://www.idems.international/podcast/connectionist-versus-symbolist-ai/</link>
	<pubDate>Wed, 24 Jun 2026 15:26:06 +0000</pubDate>
	<dc:creator><![CDATA[IDEMS International Community Interest Company (CIC)]]></dc:creator>
	<guid isPermaLink="false">https://www.idems.international/?post_type=podcast&#038;p=12650</guid>
	<description><![CDATA[David and Kate explore the historical divide between Symbolist and Connectionist approaches to AI, reflecting on how today’s dominant AI narratives emerged and what may have been lost along the way. They discuss the difference between expert systems built on structured human knowledge and data-driven learning systems based on neural networks, and consider the implications of each for governance, traceability, social impact, and responsible technology development. The conversation highlights how alternative approaches to AI may offer more practical and trustworthy pathways for addressing real-world challenges.]]></description>
	<itunes:subtitle><![CDATA[David and Kate explore the historical divide between Symbolist and Connectionist approaches to AI, reflecting on how today’s dominant AI narratives emerged and what may have been lost along the way. They discuss the difference between expert systems buil]]></itunes:subtitle>
	<content:encoded><![CDATA[David and Kate explore the historical divide between Symbolist and Connectionist approaches to AI, reflecting on how today’s dominant AI narratives emerged and what may have been lost along the way. They discuss the difference between expert systems built on structured human knowledge and data-driven learning systems based on neural networks, and consider the implications of each for governance, traceability, social impact, and responsible technology development. The conversation highlights how alternative approaches to AI may offer more practical and trustworthy pathways for addressing real-world challenges.]]></content:encoded>
	<enclosure url="https://www.idems.international/podcast-download/12650/connectionist-versus-symbolist-ai.mp3" length="27226393" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[David and Kate explore the historical divide between Symbolist and Connectionist approaches to AI, reflecting on how today’s dominant AI narratives emerged and what may have been lost along the way. They discuss the difference between expert systems built on structured human knowledge and data-driven learning systems based on neural networks, and consider the implications of each for governance, traceability, social impact, and responsible technology development. The conversation highlights how alternative approaches to AI may offer more practical and trustworthy pathways for addressing real-world challenges.]]></itunes:summary>
	<itunes:image href="https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png"></itunes:image>
	<image>
		<url>https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png</url>
		<title>03. Connectionist Versus Symbolist AI</title>
	</image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>28:22</itunes:duration>
	<itunes:author><![CDATA[IDEMS International Community Interest Company (CIC)]]></itunes:author>	<googleplay:description><![CDATA[David and Kate explore the historical divide between Symbolist and Connectionist approaches to AI, reflecting on how today’s dominant AI narratives emerged and what may have been lost along the way. They discuss the difference between expert systems built on structured human knowledge and data-driven learning systems based on neural networks, and consider the implications of each for governance, traceability, social impact, and responsible technology development. The conversation highlights how alternative approaches to AI may offer more practical and trustworthy pathways for addressing real-world challenges.]]></googleplay:description>
	<googleplay:image href="https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
</item>

<item>
	<title>02. Earthkeepers versus AI Empires (Part 2)</title>
	<link>https://www.idems.international/podcast/earthkeepers-versus-ai-empires-part-2/</link>
	<pubDate>Wed, 24 Jun 2026 15:23:12 +0000</pubDate>
	<dc:creator><![CDATA[IDEMS International Community Interest Company (CIC)]]></dc:creator>
	<guid isPermaLink="false">https://www.idems.international/?post_type=podcast&#038;p=12644</guid>
	<description><![CDATA[In the second part of their discussion, David and Kate reflect more deeply on the Earthkeepers versus AI Empires convening in Zambia, exploring the diverse perspectives and tensions that emerged during the event. They discuss questions of power, governance, indigenous knowledge, and technological futures, as well as the growing recognition that current AI trajectories are not inevitable. The conversation highlights alternative visions for AI and digital technologies built around community ownership, trusted data, local governance, and smaller-scale systems designed to serve real social needs rather than concentrated power.]]></description>
	<itunes:subtitle><![CDATA[In the second part of their discussion, David and Kate reflect more deeply on the Earthkeepers versus AI Empires convening in Zambia, exploring the diverse perspectives and tensions that emerged during the event. They discuss questions of power, governan]]></itunes:subtitle>
	<content:encoded><![CDATA[In the second part of their discussion, David and Kate reflect more deeply on the Earthkeepers versus AI Empires convening in Zambia, exploring the diverse perspectives and tensions that emerged during the event. They discuss questions of power, governance, indigenous knowledge, and technological futures, as well as the growing recognition that current AI trajectories are not inevitable. The conversation highlights alternative visions for AI and digital technologies built around community ownership, trusted data, local governance, and smaller-scale systems designed to serve real social needs rather than concentrated power.]]></content:encoded>
	<enclosure url="https://www.idems.international/podcast-download/12644/earthkeepers-versus-ai-empires-part-2.mp3" length="26089969" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[In the second part of their discussion, David and Kate reflect more deeply on the Earthkeepers versus AI Empires convening in Zambia, exploring the diverse perspectives and tensions that emerged during the event. They discuss questions of power, governance, indigenous knowledge, and technological futures, as well as the growing recognition that current AI trajectories are not inevitable. The conversation highlights alternative visions for AI and digital technologies built around community ownership, trusted data, local governance, and smaller-scale systems designed to serve real social needs rather than concentrated power.]]></itunes:summary>
	<itunes:image href="https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png"></itunes:image>
	<image>
		<url>https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png</url>
		<title>02. Earthkeepers versus AI Empires (Part 2)</title>
	</image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>27:11</itunes:duration>
	<itunes:author><![CDATA[IDEMS International Community Interest Company (CIC)]]></itunes:author>	<googleplay:description><![CDATA[In the second part of their discussion, David and Kate reflect more deeply on the Earthkeepers versus AI Empires convening in Zambia, exploring the diverse perspectives and tensions that emerged during the event. They discuss questions of power, governance, indigenous knowledge, and technological futures, as well as the growing recognition that current AI trajectories are not inevitable. The conversation highlights alternative visions for AI and digital technologies built around community ownership, trusted data, local governance, and smaller-scale systems designed to serve real social needs rather than concentrated power.]]></googleplay:description>
	<googleplay:image href="https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
</item>

<item>
	<title>01.  Earthkeepers versus AI Empires (Part 1)</title>
	<link>https://www.idems.international/podcast/earth-keepers-versus-ai-empires-part-1/</link>
	<pubDate>Wed, 24 Jun 2026 15:16:33 +0000</pubDate>
	<dc:creator><![CDATA[IDEMS International Community Interest Company (CIC)]]></dc:creator>
	<guid isPermaLink="false">https://www.idems.international/?post_type=podcast&#038;p=12636</guid>
	<description><![CDATA[In the first of a two-part discussion, David and Kate reflect on a recent convening in Zambia that brought together activists, technologists, researchers, and civil society groups concerned with the impacts of AI infrastructure and large-scale data centres. They discuss the influence of Karen Hao’s book Empire of AI, the emergence of global resistance movements around extractive AI development, and the distinction between AI as a useful tool and the broader systems of power shaping its deployment. The conversation highlights growing concerns around the resource demands and extractive dynamics associated with large-scale AI infrastructure.]]></description>
	<itunes:subtitle><![CDATA[In the first of a two-part discussion, David and Kate reflect on a recent convening in Zambia that brought together activists, technologists, researchers, and civil society groups concerned with the impacts of AI infrastructure and large-scale data centr]]></itunes:subtitle>
	<content:encoded><![CDATA[In the first of a two-part discussion, David and Kate reflect on a recent convening in Zambia that brought together activists, technologists, researchers, and civil society groups concerned with the impacts of AI infrastructure and large-scale data centres. They discuss the influence of Karen Hao’s book Empire of AI, the emergence of global resistance movements around extractive AI development, and the distinction between AI as a useful tool and the broader systems of power shaping its deployment. The conversation highlights growing concerns around the resource demands and extractive dynamics associated with large-scale AI infrastructure.]]></content:encoded>
	<enclosure url="https://www.idems.international/podcast-download/12636/earth-keepers-versus-ai-empires-part-1.mp3" length="21385838" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[In the first of a two-part discussion, David and Kate reflect on a recent convening in Zambia that brought together activists, technologists, researchers, and civil society groups concerned with the impacts of AI infrastructure and large-scale data centres. They discuss the influence of Karen Hao’s book Empire of AI, the emergence of global resistance movements around extractive AI development, and the distinction between AI as a useful tool and the broader systems of power shaping its deployment. The conversation highlights growing concerns around the resource demands and extractive dynamics associated with large-scale AI infrastructure.]]></itunes:summary>
	<itunes:image href="https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png"></itunes:image>
	<image>
		<url>https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png</url>
		<title>01.  Earthkeepers versus AI Empires (Part 1)</title>
	</image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>22:17</itunes:duration>
	<itunes:author><![CDATA[IDEMS International Community Interest Company (CIC)]]></itunes:author>	<googleplay:description><![CDATA[In the first of a two-part discussion, David and Kate reflect on a recent convening in Zambia that brought together activists, technologists, researchers, and civil society groups concerned with the impacts of AI infrastructure and large-scale data centres. They discuss the influence of Karen Hao’s book Empire of AI, the emergence of global resistance movements around extractive AI development, and the distinction between AI as a useful tool and the broader systems of power shaping its deployment. The conversation highlights growing concerns around the resource demands and extractive dynamics associated with large-scale AI infrastructure.]]></googleplay:description>
	<googleplay:image href="https://www.idems.international/wp-content/uploads/2025/06/IDEMS-Podcast-Logo.png"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
</item>
	</channel>
</rss>
