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diff --git a/ethical-considerations-ai-ml-for-libraries/academic-fraud.html b/ethical-considerations-ai-ml-for-libraries/academic-fraud.html
@@ -63,26 +63,6 @@ <h2>Resources</h2>
 <ul>
 <li><a href="https://www.timeshighereducation.com/campus/artificial-intelligence-and-academic-integrity-striking-balance">Artificial intelligence and academic integrity: striking a balance</a></li>
 </ul>
-<h2>Workshop Use-cases</h2>
-<h3>Primary</h3>
-<ul>
-<li><a href="https://github.com/folio-labs/ai-workflows/wiki/Collection-Management-and-Optimization">Collection Management and Optimization</a></li>
-<li><a href="https://github.com/folio-labs/ai-workflows/wiki/Improving-User-and-Technical-Documentation">Improving User and Technical Documentation</a></li>
-<li><a href="https://github.com/folio-labs/ai-workflows/wiki/Information-Discovery">Information Discovery</a></li>
-</ul>
-<h3>Secondary</h3>
-<ul>
-<li><a href="https://github.com/folio-labs/ai-workflows/wiki/Automated-Metadata-Generation-Enrichment">Automated Metadata Generation Enrichment</a></li>
-<li><a href="https://github.com/folio-labs/ai-workflows/wiki/De%E2%80%90duplicate-and-Cluster-Existing-FOLIO-Inventory-Records">De‐duplicate and Cluster Existing FOLIO Inventory Records</a></li>
-<li><a href="https://github.com/folio-labs/ai-workflows/wiki/From-an-Instance-Title,-find-Circ-Status-and-Researve-Item">From an Instance Title, find Circ Status and Researve Item</a></li>
-<li><a href="https://github.com/folio-labs/ai-workflows/wiki/Technical-Support-for-Orphaned-Modules">Technical Support for Orphaned Modules</a></li>
-</ul>
-<h3>Tertiary</h3>
-<ul>
-<li><a href="https://github.com/folio-labs/ai-workflows/wiki/Analysis-and-Management-Financial-Orders-and-Invoices">Analysis and Management Financial Orders and Invoices</a></li>
-<li><a href="https://github.com/folio-labs/ai-workflows/wiki/Create-Course-reserves-from-a-csv">Create Course reserves from a csv</a></li>
-<li><a href="https://github.com/folio-labs/ai-workflows/wiki/Narrative-Circulation-Rules">Narrative Circulation Rules</a></li>
-</ul>
 <div class="footnote">
 <hr />
 <ol>
@@ -118,13 +98,13 @@ <h3>Tertiary</h3>
   </article>
   <div class="col-3">
     <h4>Navigation</h4>
-     <ol><li><a href="/wolfcon-2024-ai-workshop/intro-pre-conference/index.html">Introduction to WOLFcon AI Pre-conference Workshop</a></li><li><a href="/wolfcon-2024-ai-workshop/types-of-ai-ml-relevant-to-libraries/index.html">General Overview of AI and Machine Learning for Libraries</a></li><li><a href="/wolfcon-2024-ai-workshop/ethical-considerations-ai-ml-for-libraries/index.html">Ethical Considerations on using AI and Machine Learning for Libraries</a><ul><li><a href="bias.html">Bias and AI</a></li><li><a href="academic-fraud.html">Academic Fraud - Plagiarism and Acceptable Use</a></li><li><a href="creator-attribution.html">Creator Attribution and Copyright</a></li><li><a href="privacy.html">Privacy Concerns in Large Language Models</a></li><li><a href="guidelines.html">Guidelines for Incorporating AI</a></li><li><a href="carbon-footprint.html">Carbon Footprint of LLMs</a></li><li><a href="deepfakes.html">Deepfakes</a></li><li><a href="ai-slop.html">AI Slop</a></li><li><a href="hallucinations-llms.html">Hallucinations and Generative AI</a></li><li><a href="p-doom-agi.html">p(doom) and Artificial General Intelligence (AGI)</a></li></ul></li><li><a href="/wolfcon-2024-ai-workshop/exploring-llms/index.html">Exploring Large Language Models</a></li><li><a href="/wolfcon-2024-ai-workshop/folio-ai-use-cases/index.html">FOLIO AI Use Cases</a></li><li><a href="/wolfcon-2024-ai-workshop/next-steps-for-adopting-ai-and-ml-in-folio/index.html">Next Steps for Adopting AI and Machine Learning in FOLIO</a></li><li><a href="/wolfcon-2024-ai-workshop/recommended-resources-for-further-learning/index.html">Recommended Resources for Further Learning</a></li></ol>
+     <ol><li><a href="/wolfcon-2024-ai-workshop/intro-pre-conference/index.html">Introduction to WOLFcon AI Pre-conference Workshop</a></li><li><a href="/wolfcon-2024-ai-workshop/types-of-ai-ml-relevant-to-libraries/index.html">General Overview of AI and Machine Learning for Libraries</a></li><li><a href="/wolfcon-2024-ai-workshop/ethical-considerations-ai-ml-for-libraries/index.html">Ethical Considerations on using AI and Machine Learning for Libraries</a><ul><li><a href="bias.html">Bias and AI</a></li><li><strong>Academic Fraud and Artificial Intelligence</strong></li><li><a href="creator-attribution.html">Creator Attribution and Copyright</a></li><li><a href="privacy.html">Privacy Concerns in Large Language Models</a></li><li><a href="guidelines.html">Guidelines for Incorporating AI</a></li><li><a href="carbon-footprint.html">Carbon Footprint of LLMs</a></li><li><a href="deepfakes.html">Deepfakes</a></li><li><a href="ai-slop.html">AI Slop</a></li><li><a href="hallucinations-llms.html">Hallucinations and Generative AI</a></li><li><a href="p-doom-agi.html">p(doom) and Artificial General Intelligence (AGI)</a></li></ul></li><li><a href="/wolfcon-2024-ai-workshop/exploring-llms/index.html">Exploring Large Language Models</a></li><li><a href="/wolfcon-2024-ai-workshop/folio-ai-use-cases/index.html">FOLIO AI Use Cases</a></li><li><a href="/wolfcon-2024-ai-workshop/next-steps-for-adopting-ai-and-ml-in-folio/index.html">Next Steps for Adopting AI and Machine Learning in FOLIO</a></li><li><a href="/wolfcon-2024-ai-workshop/recommended-resources-for-further-learning/index.html">Recommended Resources for Further Learning</a></li></ol>
   </div>
 </div>
 
     </div>
     <footer style="background-color: #0a3a85; color: white;" >
-      <div class="container">Original Content by Jeremy Nelson &copy; 2024, <a href="https://github.com/sul-dlss-labs/wolfcon-02024-ai">Github</a></div>
+      <div class="container">Original Content by Jeremy Nelson &copy; 2024, <a href="https://github.com/sul-dlss-labs/wolfcon-2024-ai-workshop/">Github</a></div>
     </footer> 
     <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/js/bootstrap.bundle.min.js" integrity="sha384-YvpcrYf0tY3lHB60NNkmXc5s9fDVZLESaAA55NDzOxhy9GkcIdslK1eN7N6jIeHz" crossorigin="anonymous"></script>
 

diff --git a/ethical-considerations-ai-ml-for-libraries/academic-fraud.md b/ethical-considerations-ai-ml-for-libraries/academic-fraud.md
@@ -43,23 +43,6 @@ is no longer available, the student perform worse than students who have never u
 ## Resources
 - [Artificial intelligence and academic integrity: striking a balance](https://www.timeshighereducation.com/campus/artificial-intelligence-and-academic-integrity-striking-balance)
 
-## Workshop Use-cases
-
-### Primary
-- [Collection Management and Optimization](https://github.com/folio-labs/ai-workflows/wiki/Collection-Management-and-Optimization)
-- [Improving User and Technical Documentation](https://github.com/folio-labs/ai-workflows/wiki/Improving-User-and-Technical-Documentation)
-- [Information Discovery](https://github.com/folio-labs/ai-workflows/wiki/Information-Discovery)
-
-### Secondary
-- [Automated Metadata Generation Enrichment](https://github.com/folio-labs/ai-workflows/wiki/Automated-Metadata-Generation-Enrichment)
-- [De‐duplicate and Cluster Existing FOLIO Inventory Records](https://github.com/folio-labs/ai-workflows/wiki/De%E2%80%90duplicate-and-Cluster-Existing-FOLIO-Inventory-Records)
-- [From an Instance Title, find Circ Status and Researve Item](https://github.com/folio-labs/ai-workflows/wiki/From-an-Instance-Title,-find-Circ-Status-and-Researve-Item)
-- [Technical Support for Orphaned Modules](https://github.com/folio-labs/ai-workflows/wiki/Technical-Support-for-Orphaned-Modules)
-
-### Tertiary
-- [Analysis and Management Financial Orders and Invoices](https://github.com/folio-labs/ai-workflows/wiki/Analysis-and-Management-Financial-Orders-and-Invoices)
-- [Create Course reserves from a csv](https://github.com/folio-labs/ai-workflows/wiki/Create-Course-reserves-from-a-csv)
-- [Narrative Circulation Rules](https://github.com/folio-labs/ai-workflows/wiki/Narrative-Circulation-Rules)
 
 [^HAI_LLM]: [How Much Research Is Being Written by Large Language Models?](https://hai.stanford.edu/news/how-much-research-being-written-large-language-models)
 [^ARXIV_01]: [Mapping the Increasing Use of LLMs in Scientific Papers](https://arxiv.org/abs/2404.01268)

diff --git a/ethical-considerations-ai-ml-for-libraries/ai-slop.html b/ethical-considerations-ai-ml-for-libraries/ai-slop.html
@@ -58,12 +58,6 @@ <h2>What can libraries do?</h2>
 <p>While not a new problem, libraries can continue to provide quality collections that, coupled 
 with our traditional role as intellectual or academic gatekeepers, minimize the inclusion of 
 resources of low-quality material. </p>
-<h2>Workshop Use-cases</h2>
-<ul>
-<li><a href="https://github.com/folio-labs/edge-ai/wiki/Collection-Management-and-Optimization">Collection Management and Optimization</a></li>
-<li><a href="https://github.com/folio-labs/edge-ai/wiki/Information-Discovery">Information Discovery</a></li>
-<li><a href="https://github.com/folio-labs/edge-ai/wiki/Improving-User-and-Technical-Documentation">Improving User and Technical Documentation</a></li>
-</ul>
 <div class="footnote">
 <hr />
 <ol>
@@ -87,13 +81,13 @@ <h2>Workshop Use-cases</h2>
   </article>
   <div class="col-3">
     <h4>Navigation</h4>
-     <ol><li><a href="/wolfcon-2024-ai-workshop/intro-pre-conference/index.html">Introduction to WOLFcon AI Pre-conference Workshop</a></li><li><a href="/wolfcon-2024-ai-workshop/types-of-ai-ml-relevant-to-libraries/index.html">General Overview of AI and Machine Learning for Libraries</a></li><li><a href="/wolfcon-2024-ai-workshop/ethical-considerations-ai-ml-for-libraries/index.html">Ethical Considerations on using AI and Machine Learning for Libraries</a><ul><li><a href="bias.html">Bias and AI</a></li><li><a href="academic-fraud.html">Academic Fraud - Plagiarism and Acceptable Use</a></li><li><a href="creator-attribution.html">Creator Attribution and Copyright</a></li><li><a href="privacy.html">Privacy Concerns in Large Language Models</a></li><li><a href="guidelines.html">Guidelines for Incorporating AI</a></li><li><a href="carbon-footprint.html">Carbon Footprint of LLMs</a></li><li><a href="deepfakes.html">Deepfakes</a></li><li><strong>AI Slop</strong></li><li><a href="hallucinations-llms.html">Hallucinations and Generative AI</a></li><li><a href="p-doom-agi.html">p(doom) and Artificial General Intelligence (AGI)</a></li></ul></li><li><a href="/wolfcon-2024-ai-workshop/exploring-llms/index.html">Exploring Large Language Models</a></li><li><a href="/wolfcon-2024-ai-workshop/folio-ai-use-cases/index.html">FOLIO AI Use Cases</a></li><li><a href="/wolfcon-2024-ai-workshop/next-steps-for-adopting-ai-and-ml-in-folio/index.html">Next Steps for Adopting AI and Machine Learning in FOLIO</a></li><li><a href="/wolfcon-2024-ai-workshop/recommended-resources-for-further-learning/index.html">Recommended Resources for Further Learning</a></li></ol>
+     <ol><li><a href="/wolfcon-2024-ai-workshop/intro-pre-conference/index.html">Introduction to WOLFcon AI Pre-conference Workshop</a></li><li><a href="/wolfcon-2024-ai-workshop/types-of-ai-ml-relevant-to-libraries/index.html">General Overview of AI and Machine Learning for Libraries</a></li><li><a href="/wolfcon-2024-ai-workshop/ethical-considerations-ai-ml-for-libraries/index.html">Ethical Considerations on using AI and Machine Learning for Libraries</a><ul><li><a href="bias.html">Bias and AI</a></li><li><a href="academic-fraud.html">Academic Fraud and Artificial Intelligence</a></li><li><a href="creator-attribution.html">Creator Attribution and Copyright</a></li><li><a href="privacy.html">Privacy Concerns in Large Language Models</a></li><li><a href="guidelines.html">Guidelines for Incorporating AI</a></li><li><a href="carbon-footprint.html">Carbon Footprint of LLMs</a></li><li><a href="deepfakes.html">Deepfakes</a></li><li><strong>AI Slop</strong></li><li><a href="hallucinations-llms.html">Hallucinations and Generative AI</a></li><li><a href="p-doom-agi.html">p(doom) and Artificial General Intelligence (AGI)</a></li></ul></li><li><a href="/wolfcon-2024-ai-workshop/exploring-llms/index.html">Exploring Large Language Models</a></li><li><a href="/wolfcon-2024-ai-workshop/folio-ai-use-cases/index.html">FOLIO AI Use Cases</a></li><li><a href="/wolfcon-2024-ai-workshop/next-steps-for-adopting-ai-and-ml-in-folio/index.html">Next Steps for Adopting AI and Machine Learning in FOLIO</a></li><li><a href="/wolfcon-2024-ai-workshop/recommended-resources-for-further-learning/index.html">Recommended Resources for Further Learning</a></li></ol>
   </div>
 </div>
 
     </div>
     <footer style="background-color: #0a3a85; color: white;" >
-      <div class="container">Original Content by Jeremy Nelson &copy; 2024, <a href="https://github.com/sul-dlss-labs/wolfcon-02024-ai">Github</a></div>
+      <div class="container">Original Content by Jeremy Nelson &copy; 2024, <a href="https://github.com/sul-dlss-labs/wolfcon-2024-ai-workshop/">Github</a></div>
     </footer> 
     <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/js/bootstrap.bundle.min.js" integrity="sha384-YvpcrYf0tY3lHB60NNkmXc5s9fDVZLESaAA55NDzOxhy9GkcIdslK1eN7N6jIeHz" crossorigin="anonymous"></script>
 

diff --git a/ethical-considerations-ai-ml-for-libraries/ai-slop.md b/ethical-considerations-ai-ml-for-libraries/ai-slop.md
@@ -35,11 +35,6 @@ with our traditional role as intellectual or academic gatekeepers, minimize the
 resources of low-quality material. 
 
 
-## Workshop Use-cases
-- [Collection Management and Optimization](https://github.com/folio-labs/edge-ai/wiki/Collection-Management-and-Optimization)
-- [Information Discovery](https://github.com/folio-labs/edge-ai/wiki/Information-Discovery)
-- [Improving User and Technical Documentation](https://github.com/folio-labs/edge-ai/wiki/Improving-User-and-Technical-Documentation)
-
 [^WILLISON]: [Slop is the new name for unwanted AI-generated content](https://simonwillison.net/2024/May/8/slop/)
 [^GOOG]: [Google Searches Prefer AI Spam to Real Content](https://www.inc.com/kit-eaton/google-searches-prefer-ai-spam-to-real-content.html)
 [^ENSHITIFICATION]: [Too big to care](https://doctorow.medium.com/https-pluralistic-net-2024-04-04-teach-me-how-to-shruggie-kagi-caaa88c221f2)

diff --git a/ethical-considerations-ai-ml-for-libraries/bias.html b/ethical-considerations-ai-ml-for-libraries/bias.html
@@ -95,26 +95,6 @@ <h2>Mitigation and Responses</h2>
 <p><strong>Google</strong> Gemini for Google Cloud and responsible AI<sup id="fnref:GEMINI"><a class="footnote-ref" href="#fn:GEMINI">4</a></sup></p>
 </li>
 </ul>
-<h2>Workshop Use-cases</h2>
-<h3>Primary</h3>
-<ul>
-<li><a href="https://github.com/folio-labs/ai-workflows/wiki/Automated-Metadata-Generation-Enrichment">Automated Metadata Generation Enrichment</a></li>
-<li><a href="https://github.com/folio-labs/ai-workflows/wiki/Collection-Management-and-Optimization">Collection Management and Optimization</a></li>
-<li><a href="https://github.com/folio-labs/ai-workflows/wiki/Information-Discovery">Information Discovery</a></li>
-<li><a href="https://github.com/folio-labs/ai-workflows/wiki/Improving-User-and-Technical-Documentation">Improving User and Technical Documentation</a></li>
-</ul>
-<h3>Secondary</h3>
-<ul>
-<li><a href="https://github.com/folio-labs/ai-workflows/wiki/Create-Course-reserves-from-a-csv">Create Course reserves from a csv</a></li>
-<li><a href="https://github.com/folio-labs/ai-workflows/wiki/Narrative-Circulation-Rules">Narrative Circulation Rules</a></li>
-<li><a href="https://github.com/folio-labs/ai-workflows/wiki/Technical-Support-for-Orphaned-Modules">Technical Support for Orphaned Modules</a></li>
-</ul>
-<h3>Tertiary</h3>
-<ul>
-<li><a href="https://github.com/folio-labs/ai-workflows/wiki/Analysis-and-Management-Financial-Orders-and-Invoices">Analysis and Management Financial Orders and Invoices</a></li>
-<li><a href="https://github.com/folio-labs/ai-workflows/wiki/De%E2%80%90duplicate-and-Cluster-Existing-FOLIO-Inventory-Records">De‐duplicate and Cluster Existing FOLIO Inventory Records</a></li>
-<li><a href="https://github.com/folio-labs/ai-workflows/wiki/From-an-Instance-Title,-find-Circ-Status-and-Researve-Item">From an Instance Title, find Circ Status and Researve Item</a></li>
-</ul>
 <h2>Resources</h2>
 <ul>
 <li>https://www.nist.gov/news-events/news/2022/03/theres-more-ai-bias-biased-data-nist-report-highlights</li>
@@ -140,13 +120,13 @@ <h2>Resources</h2>
   </article>
   <div class="col-3">
     <h4>Navigation</h4>
-     <ol><li><a href="/wolfcon-2024-ai-workshop/intro-pre-conference/index.html">Introduction to WOLFcon AI Pre-conference Workshop</a></li><li><a href="/wolfcon-2024-ai-workshop/types-of-ai-ml-relevant-to-libraries/index.html">General Overview of AI and Machine Learning for Libraries</a></li><li><a href="/wolfcon-2024-ai-workshop/ethical-considerations-ai-ml-for-libraries/index.html">Ethical Considerations on using AI and Machine Learning for Libraries</a><ul><li><strong>Bias and AI</strong></li><li><a href="academic-fraud.html">Academic Fraud - Plagiarism and Acceptable Use</a></li><li><a href="creator-attribution.html">Creator Attribution and Copyright</a></li><li><a href="privacy.html">Privacy Concerns in Large Language Models</a></li><li><a href="guidelines.html">Guidelines for Incorporating AI</a></li><li><a href="carbon-footprint.html">Carbon Footprint of LLMs</a></li><li><a href="deepfakes.html">Deepfakes</a></li><li><a href="ai-slop.html">AI Slop</a></li><li><a href="hallucinations-llms.html">Hallucinations and Generative AI</a></li><li><a href="p-doom-agi.html">p(doom) and Artificial General Intelligence (AGI)</a></li></ul></li><li><a href="/wolfcon-2024-ai-workshop/exploring-llms/index.html">Exploring Large Language Models</a></li><li><a href="/wolfcon-2024-ai-workshop/folio-ai-use-cases/index.html">FOLIO AI Use Cases</a></li><li><a href="/wolfcon-2024-ai-workshop/next-steps-for-adopting-ai-and-ml-in-folio/index.html">Next Steps for Adopting AI and Machine Learning in FOLIO</a></li><li><a href="/wolfcon-2024-ai-workshop/recommended-resources-for-further-learning/index.html">Recommended Resources for Further Learning</a></li></ol>
+     <ol><li><a href="/wolfcon-2024-ai-workshop/intro-pre-conference/index.html">Introduction to WOLFcon AI Pre-conference Workshop</a></li><li><a href="/wolfcon-2024-ai-workshop/types-of-ai-ml-relevant-to-libraries/index.html">General Overview of AI and Machine Learning for Libraries</a></li><li><a href="/wolfcon-2024-ai-workshop/ethical-considerations-ai-ml-for-libraries/index.html">Ethical Considerations on using AI and Machine Learning for Libraries</a><ul><li><strong>Bias and AI</strong></li><li><a href="academic-fraud.html">Academic Fraud and Artificial Intelligence</a></li><li><a href="creator-attribution.html">Creator Attribution and Copyright</a></li><li><a href="privacy.html">Privacy Concerns in Large Language Models</a></li><li><a href="guidelines.html">Guidelines for Incorporating AI</a></li><li><a href="carbon-footprint.html">Carbon Footprint of LLMs</a></li><li><a href="deepfakes.html">Deepfakes</a></li><li><a href="ai-slop.html">AI Slop</a></li><li><a href="hallucinations-llms.html">Hallucinations and Generative AI</a></li><li><a href="p-doom-agi.html">p(doom) and Artificial General Intelligence (AGI)</a></li></ul></li><li><a href="/wolfcon-2024-ai-workshop/exploring-llms/index.html">Exploring Large Language Models</a></li><li><a href="/wolfcon-2024-ai-workshop/folio-ai-use-cases/index.html">FOLIO AI Use Cases</a></li><li><a href="/wolfcon-2024-ai-workshop/next-steps-for-adopting-ai-and-ml-in-folio/index.html">Next Steps for Adopting AI and Machine Learning in FOLIO</a></li><li><a href="/wolfcon-2024-ai-workshop/recommended-resources-for-further-learning/index.html">Recommended Resources for Further Learning</a></li></ol>
   </div>
 </div>
 
     </div>
     <footer style="background-color: #0a3a85; color: white;" >
-      <div class="container">Original Content by Jeremy Nelson &copy; 2024, <a href="https://github.com/sul-dlss-labs/wolfcon-02024-ai">Github</a></div>
+      <div class="container">Original Content by Jeremy Nelson &copy; 2024, <a href="https://github.com/sul-dlss-labs/wolfcon-2024-ai-workshop/">Github</a></div>
     </footer> 
     <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/js/bootstrap.bundle.min.js" integrity="sha384-YvpcrYf0tY3lHB60NNkmXc5s9fDVZLESaAA55NDzOxhy9GkcIdslK1eN7N6jIeHz" crossorigin="anonymous"></script>