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    <title>Minding Machines</title>
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    <description>Minding Machines is a podcast dedicated to fostering thoughtful, open dialogue about artificial intelligence. The show brings together educators, students, and practitioners to explore how these tools are changing the way we teach, work, and think. Our conversations focus on practical experiences, emerging questions, and diverse perspectives across disciplines rather than establishing rigid "right or wrong" answers or settling debates about AI. 


Minding Machines is an independent podcast produced at Lawrence University, Appleton, Wisconsin. The views expressed are those of the participants and do not represent the university.


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    <copyright>©️2026 Minding Machines</copyright>
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    <podcast:person role="Editor" href="https://minding-machines.transistor.fm/people/phuoc-t-pham">Phuoc T. Pham</podcast:person>
    <podcast:person role="Producer" href="https://minding-machines.transistor.fm/people/abhishek-chakraborty">Abhishek Chakraborty</podcast:person>
    <podcast:trailer pubdate="Wed, 23 Sep 2026 11:31:53 -0500" url="https://media.transistor.fm/b18d453b/19f09abc.mp3" length="4539840" type="audio/mpeg">Welcome to Minding Machines</podcast:trailer>
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    <pubDate>Fri, 25 Sep 2026 11:21:25 -0500</pubDate>
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    <itunes:summary>Minding Machines is a podcast dedicated to fostering thoughtful, open dialogue about artificial intelligence. The show brings together educators, students, and practitioners to explore how these tools are changing the way we teach, work, and think. Our conversations focus on practical experiences, emerging questions, and diverse perspectives across disciplines rather than establishing rigid "right or wrong" answers or settling debates about AI. 


Minding Machines is an independent podcast produced at Lawrence University, Appleton, Wisconsin. The views expressed are those of the participants and do not represent the university.


Background music - Relaxing Light Background (short version) by AudioCoffee (https://freesound.org/s/725615/)</itunes:summary>
    <itunes:subtitle>Minding Machines is a podcast dedicated to fostering thoughtful, open dialogue about artificial intelligence.</itunes:subtitle>
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      <title>Starting the AI Conversation at Lawrence</title>
      <itunes:episode>1</itunes:episode>
      <podcast:episode>1</podcast:episode>
      <itunes:title>Starting the AI Conversation at Lawrence</itunes:title>
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        <![CDATA[<p>The guests for the first episode of Minding Machines are Mark Phelan and Mike Clayville, Co-Directors of the AI at LU (Lawrence University) Task Force. Mark is a Professor of Philosophy and Director of the Cognitive Science program; Mike is a Professor of Practice in the Business and Entrepreneurship program, a performing musician, and a trombonist. We discuss how the task force came to be, what its charge actually looks like, and how they're thinking about AI's effects on teaching, writing, and campus life more broadly. </p><p><strong>Episode Resources</strong></p><ul><li>Mark's email - mark.phelan@lawrence.edu</li><li>Mike's email - michael.clayville@lawrence.edu</li><li><a href="https://docs.google.com/spreadsheets/d/1lM6g4yveQMyWeUbEwBM6FZVxEWCLfvWDh1aWUErWWbQ/edit?gid=118697409#gid=118697409">Syllabus Policies for GenAI Repository</a> </li><li><a href="https://docs.google.com/document/d/1vC4_T6F39fIEJMgbYK_9HWpLVSaGczdxtr3Xi042Kts/edit?tab=t.0#heading=h.9l9gguvuc64t">Artificial Intelligence and Academic Integrity: Expectations Worksheet</a></li><li><a href="https://aiassessmentscale.com/">5-level AI Assessment Scale</a></li><li><a href="https://repository.rice.edu/items/134e0798-1856-45d6-be9c-d4f8ca2814e0">9-level AI Assessment Scale</a></li><li>Ethan Mollick’s <a href="https://www.oneusefulthing.org/">substack</a> and books - <a href="https://www.amazon.com/Co-Intelligence-Living-Working-Ethan-Mollick/dp/059371671X/ref=sr_1_1?dib=eyJ2IjoiMSJ9.moMu4DSppqPXzB18NMlU6qVOIri4RV_Wu53Xx7Ycgtqh4C_NIqsR1JpJ5pilNEnZvSL_sntxih1G7tIs53X76nPJX5mIDlPnJshV5tvmxtGwlMtq-6AEGGkXveNepqezX1tOf44MDn5XbocBhyZaSQgQOBoun03JrxrmZ860Muq6vKRCQJmjoyTPk13CXJmTYIASXMc1j0e4Ncz1YqWUqxW-tM1MxLKj5fpbmvt-y1Y.5ykLkpcLF-k8Ehg9x8KHpN8U1Lav5e6-YDE5057ppqY&amp;dib_tag=se&amp;qid=1790291304&amp;refinements=p_27%3AEthan+Mollick&amp;s=books&amp;sr=1-1">Co-Intelligence: Living and Working with AI</a> and <a href="https://www.amazon.com/Co-Existence-Next-Phase-Ethan-Mollick/dp/B0H2GJJVDW/ref=sr_1_2?dib=eyJ2IjoiMSJ9.moMu4DSppqPXzB18NMlU6qVOIri4RV_Wu53Xx7Ycgtqh4C_NIqsR1JpJ5pilNEnZvSL_sntxih1G7tIs53X76nPJX5mIDlPnJshV5tvmxtGwlMtq-6AEGGkXveNepqezX1tOf44MDn5XbocBhyZaSQgQOBoun03JrxrmZ860Muq6vKRCQJmjoyTPk13CXJmTYIASXMc1j0e4Ncz1YqWUqxW-tM1MxLKj5fpbmvt-y1Y.5ykLkpcLF-k8Ehg9x8KHpN8U1Lav5e6-YDE5057ppqY&amp;dib_tag=se&amp;qid=1790291304&amp;refinements=p_27%3AEthan+Mollick&amp;s=books&amp;sr=1-2">Co-Existence: The Next Phase of AI</a></li></ul><p><br><a href="https://share.transistor.fm/s/7836f467/transcript" title="Click here to view the episode transcript.">Click here to view the episode transcript.</a><br>
<br></p><ul><li>(00:00) - Intro and welcome</li>
<li>(01:04) - Guest introductions: Mike and Mark's roles at Lawrence</li>
<li>(01:53) - How the AI Task Force came to be, and where AI stood at Lawrence before it</li>
<li>(04:14) - The task force's charge: institutional literacy and faculty perspective</li>
<li>(06:29) - The two working areas of the task force — policy and student programming</li>
<li>(09:00) - Reading the room: mixed sentiment among faculty, students, and staff</li>
<li>(13:54) - Policy, guardrails, and why a one-size-fits-all rule doesn't fit</li>
<li>(17:09) - Mike and Mark's personal interest in AI — research angles and everyday curiosity</li>
<li>(21:55) - Where co-directors see AI heading next</li>
<li>(26:03) - Learning to live with a new technology: lessons from computers and the internet</li>
<li>(28:32) - What's next: winter term workshops and future plans</li>
<li>(29:12) - What makes a Lawrence-specific response to AI distinct</li>
<li>(32:17) - Closing messages: an invitation to conversation</li>
</ul>]]>
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        <![CDATA[<p>The guests for the first episode of Minding Machines are Mark Phelan and Mike Clayville, Co-Directors of the AI at LU (Lawrence University) Task Force. Mark is a Professor of Philosophy and Director of the Cognitive Science program; Mike is a Professor of Practice in the Business and Entrepreneurship program, a performing musician, and a trombonist. We discuss how the task force came to be, what its charge actually looks like, and how they're thinking about AI's effects on teaching, writing, and campus life more broadly. </p><p><strong>Episode Resources</strong></p><ul><li>Mark's email - mark.phelan@lawrence.edu</li><li>Mike's email - michael.clayville@lawrence.edu</li><li><a href="https://docs.google.com/spreadsheets/d/1lM6g4yveQMyWeUbEwBM6FZVxEWCLfvWDh1aWUErWWbQ/edit?gid=118697409#gid=118697409">Syllabus Policies for GenAI Repository</a> </li><li><a href="https://docs.google.com/document/d/1vC4_T6F39fIEJMgbYK_9HWpLVSaGczdxtr3Xi042Kts/edit?tab=t.0#heading=h.9l9gguvuc64t">Artificial Intelligence and Academic Integrity: Expectations Worksheet</a></li><li><a href="https://aiassessmentscale.com/">5-level AI Assessment Scale</a></li><li><a href="https://repository.rice.edu/items/134e0798-1856-45d6-be9c-d4f8ca2814e0">9-level AI Assessment Scale</a></li><li>Ethan Mollick’s <a href="https://www.oneusefulthing.org/">substack</a> and books - <a href="https://www.amazon.com/Co-Intelligence-Living-Working-Ethan-Mollick/dp/059371671X/ref=sr_1_1?dib=eyJ2IjoiMSJ9.moMu4DSppqPXzB18NMlU6qVOIri4RV_Wu53Xx7Ycgtqh4C_NIqsR1JpJ5pilNEnZvSL_sntxih1G7tIs53X76nPJX5mIDlPnJshV5tvmxtGwlMtq-6AEGGkXveNepqezX1tOf44MDn5XbocBhyZaSQgQOBoun03JrxrmZ860Muq6vKRCQJmjoyTPk13CXJmTYIASXMc1j0e4Ncz1YqWUqxW-tM1MxLKj5fpbmvt-y1Y.5ykLkpcLF-k8Ehg9x8KHpN8U1Lav5e6-YDE5057ppqY&amp;dib_tag=se&amp;qid=1790291304&amp;refinements=p_27%3AEthan+Mollick&amp;s=books&amp;sr=1-1">Co-Intelligence: Living and Working with AI</a> and <a href="https://www.amazon.com/Co-Existence-Next-Phase-Ethan-Mollick/dp/B0H2GJJVDW/ref=sr_1_2?dib=eyJ2IjoiMSJ9.moMu4DSppqPXzB18NMlU6qVOIri4RV_Wu53Xx7Ycgtqh4C_NIqsR1JpJ5pilNEnZvSL_sntxih1G7tIs53X76nPJX5mIDlPnJshV5tvmxtGwlMtq-6AEGGkXveNepqezX1tOf44MDn5XbocBhyZaSQgQOBoun03JrxrmZ860Muq6vKRCQJmjoyTPk13CXJmTYIASXMc1j0e4Ncz1YqWUqxW-tM1MxLKj5fpbmvt-y1Y.5ykLkpcLF-k8Ehg9x8KHpN8U1Lav5e6-YDE5057ppqY&amp;dib_tag=se&amp;qid=1790291304&amp;refinements=p_27%3AEthan+Mollick&amp;s=books&amp;sr=1-2">Co-Existence: The Next Phase of AI</a></li></ul><p><br><a href="https://share.transistor.fm/s/7836f467/transcript" title="Click here to view the episode transcript.">Click here to view the episode transcript.</a><br>
<br></p><ul><li>(00:00) - Intro and welcome</li>
<li>(01:04) - Guest introductions: Mike and Mark's roles at Lawrence</li>
<li>(01:53) - How the AI Task Force came to be, and where AI stood at Lawrence before it</li>
<li>(04:14) - The task force's charge: institutional literacy and faculty perspective</li>
<li>(06:29) - The two working areas of the task force — policy and student programming</li>
<li>(09:00) - Reading the room: mixed sentiment among faculty, students, and staff</li>
<li>(13:54) - Policy, guardrails, and why a one-size-fits-all rule doesn't fit</li>
<li>(17:09) - Mike and Mark's personal interest in AI — research angles and everyday curiosity</li>
<li>(21:55) - Where co-directors see AI heading next</li>
<li>(26:03) - Learning to live with a new technology: lessons from computers and the internet</li>
<li>(28:32) - What's next: winter term workshops and future plans</li>
<li>(29:12) - What makes a Lawrence-specific response to AI distinct</li>
<li>(32:17) - Closing messages: an invitation to conversation</li>
</ul>]]>
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      <pubDate>Fri, 25 Sep 2026 05:00:00 -0500</pubDate>
      <author>Abhishek Chakraborty</author>
      <enclosure url="https://media.transistor.fm/7836f467/e60eeefe.mp3" length="84179385" type="audio/mpeg"/>
      <itunes:author>Abhishek Chakraborty</itunes:author>
      <itunes:duration>2103</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>The guests for the first episode of Minding Machines are Mark Phelan and Mike Clayville, Co-Directors of the AI at LU (Lawrence University) Task Force. Mark is a Professor of Philosophy and Director of the Cognitive Science program; Mike is a Professor of Practice in the Business and Entrepreneurship program, a performing musician, and a trombonist. We discuss how the task force came to be, what its charge actually looks like, and how they're thinking about AI's effects on teaching, writing, and campus life more broadly. </p><p><strong>Episode Resources</strong></p><ul><li>Mark's email - mark.phelan@lawrence.edu</li><li>Mike's email - michael.clayville@lawrence.edu</li><li><a href="https://docs.google.com/spreadsheets/d/1lM6g4yveQMyWeUbEwBM6FZVxEWCLfvWDh1aWUErWWbQ/edit?gid=118697409#gid=118697409">Syllabus Policies for GenAI Repository</a> </li><li><a href="https://docs.google.com/document/d/1vC4_T6F39fIEJMgbYK_9HWpLVSaGczdxtr3Xi042Kts/edit?tab=t.0#heading=h.9l9gguvuc64t">Artificial Intelligence and Academic Integrity: Expectations Worksheet</a></li><li><a href="https://aiassessmentscale.com/">5-level AI Assessment Scale</a></li><li><a href="https://repository.rice.edu/items/134e0798-1856-45d6-be9c-d4f8ca2814e0">9-level AI Assessment Scale</a></li><li>Ethan Mollick’s <a href="https://www.oneusefulthing.org/">substack</a> and books - <a href="https://www.amazon.com/Co-Intelligence-Living-Working-Ethan-Mollick/dp/059371671X/ref=sr_1_1?dib=eyJ2IjoiMSJ9.moMu4DSppqPXzB18NMlU6qVOIri4RV_Wu53Xx7Ycgtqh4C_NIqsR1JpJ5pilNEnZvSL_sntxih1G7tIs53X76nPJX5mIDlPnJshV5tvmxtGwlMtq-6AEGGkXveNepqezX1tOf44MDn5XbocBhyZaSQgQOBoun03JrxrmZ860Muq6vKRCQJmjoyTPk13CXJmTYIASXMc1j0e4Ncz1YqWUqxW-tM1MxLKj5fpbmvt-y1Y.5ykLkpcLF-k8Ehg9x8KHpN8U1Lav5e6-YDE5057ppqY&amp;dib_tag=se&amp;qid=1790291304&amp;refinements=p_27%3AEthan+Mollick&amp;s=books&amp;sr=1-1">Co-Intelligence: Living and Working with AI</a> and <a href="https://www.amazon.com/Co-Existence-Next-Phase-Ethan-Mollick/dp/B0H2GJJVDW/ref=sr_1_2?dib=eyJ2IjoiMSJ9.moMu4DSppqPXzB18NMlU6qVOIri4RV_Wu53Xx7Ycgtqh4C_NIqsR1JpJ5pilNEnZvSL_sntxih1G7tIs53X76nPJX5mIDlPnJshV5tvmxtGwlMtq-6AEGGkXveNepqezX1tOf44MDn5XbocBhyZaSQgQOBoun03JrxrmZ860Muq6vKRCQJmjoyTPk13CXJmTYIASXMc1j0e4Ncz1YqWUqxW-tM1MxLKj5fpbmvt-y1Y.5ykLkpcLF-k8Ehg9x8KHpN8U1Lav5e6-YDE5057ppqY&amp;dib_tag=se&amp;qid=1790291304&amp;refinements=p_27%3AEthan+Mollick&amp;s=books&amp;sr=1-2">Co-Existence: The Next Phase of AI</a></li></ul><p><br><a href="https://share.transistor.fm/s/7836f467/transcript" title="Click here to view the episode transcript.">Click here to view the episode transcript.</a><br>
<br></p><ul><li>(00:00) - Intro and welcome</li>
<li>(01:04) - Guest introductions: Mike and Mark's roles at Lawrence</li>
<li>(01:53) - How the AI Task Force came to be, and where AI stood at Lawrence before it</li>
<li>(04:14) - The task force's charge: institutional literacy and faculty perspective</li>
<li>(06:29) - The two working areas of the task force — policy and student programming</li>
<li>(09:00) - Reading the room: mixed sentiment among faculty, students, and staff</li>
<li>(13:54) - Policy, guardrails, and why a one-size-fits-all rule doesn't fit</li>
<li>(17:09) - Mike and Mark's personal interest in AI — research angles and everyday curiosity</li>
<li>(21:55) - Where co-directors see AI heading next</li>
<li>(26:03) - Learning to live with a new technology: lessons from computers and the internet</li>
<li>(28:32) - What's next: winter term workshops and future plans</li>
<li>(29:12) - What makes a Lawrence-specific response to AI distinct</li>
<li>(32:17) - Closing messages: an invitation to conversation</li>
</ul>]]>
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      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Producer" href="https://minding-machines.transistor.fm/people/abhishek-chakraborty">Abhishek Chakraborty</podcast:person>
      <podcast:person role="Editor" href="https://minding-machines.transistor.fm/people/phuoc-t-pham">Phuoc T. Pham</podcast:person>
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        <![CDATA[<p><strong><em>Minding Machines</em></strong> is an initiative dedicated to fostering thoughtful, open dialogue about artificial intelligence. The podcast brings together educators, students, and practitioners to explore how these tools are changing the way we teach, work, and think. Our conversations focus on practical experiences, emerging questions, and diverse perspectives across disciplines rather than establishing rigid "right or wrong" answers or settling debates about AI. Thank you for joining us. </p><p><a href="https://share.transistor.fm/s/b18d453b/transcript" title="Click here to view the episode transcript.">Click here to view the episode transcript.</a><br>
<br></p>]]>
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        <![CDATA[<p><strong><em>Minding Machines</em></strong> is an initiative dedicated to fostering thoughtful, open dialogue about artificial intelligence. The podcast brings together educators, students, and practitioners to explore how these tools are changing the way we teach, work, and think. Our conversations focus on practical experiences, emerging questions, and diverse perspectives across disciplines rather than establishing rigid "right or wrong" answers or settling debates about AI. Thank you for joining us. </p><p><a href="https://share.transistor.fm/s/b18d453b/transcript" title="Click here to view the episode transcript.">Click here to view the episode transcript.</a><br>
<br></p>]]>
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      <pubDate>Wed, 23 Sep 2026 11:31:53 -0500</pubDate>
      <author>Abhishek Chakraborty</author>
      <enclosure url="https://media.transistor.fm/b18d453b/19f09abc.mp3" length="4539840" type="audio/mpeg"/>
      <itunes:author>Abhishek Chakraborty</itunes:author>
      <itunes:duration>114</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><strong><em>Minding Machines</em></strong> is an initiative dedicated to fostering thoughtful, open dialogue about artificial intelligence. The podcast brings together educators, students, and practitioners to explore how these tools are changing the way we teach, work, and think. Our conversations focus on practical experiences, emerging questions, and diverse perspectives across disciplines rather than establishing rigid "right or wrong" answers or settling debates about AI. Thank you for joining us. </p><p><a href="https://share.transistor.fm/s/b18d453b/transcript" title="Click here to view the episode transcript.">Click here to view the episode transcript.</a><br>
<br></p>]]>
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      <itunes:keywords>Artificial Intelligence, conversations, podcasts</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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      <podcast:person role="Editor" href="https://minding-machines.transistor.fm/people/phuoc-t-pham">Phuoc T. Pham</podcast:person>
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