<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="3.10.0">Jekyll</generator><link href="https://techethicsai.au/feed.xml" rel="self" type="application/atom+xml" /><link href="https://techethicsai.au/" rel="alternate" type="text/html" /><updated>2026-04-22T00:43:32+00:00</updated><id>https://techethicsai.au/feed.xml</id><title type="html">Techniques and Ethics of AI</title><subtitle>  Resources for learning the techniques, necessary judgement, pedagogy, and ethics for Generative AI in research and education.</subtitle><author><name>Brian Ballsun-Stanton</name><email>brian.ballsun-stanton@mq.edu.au</email></author><entry><title type="html">Resources on AI Ethics, LLMs, and Teaching with AI</title><link href="https://techethicsai.au/resources/" rel="alternate" type="text/html" title="Resources on AI Ethics, LLMs, and Teaching with AI" /><published>2025-11-05T04:10:02+00:00</published><updated>2025-11-05T04:10:02+00:00</updated><id>https://techethicsai.au/resources</id><content type="html" xml:base="https://techethicsai.au/resources/"><![CDATA[<p>Dr Brian Ballsun‑Stanton is leading Macquarie University’s Faculty of Arts understanding, policy, teaching, and research initiatives around the techniques and appropriate uses of Generative AI. With a PhD in Philosophy of Data that enables him to bridge theoretical frameworks with practical implementations, he has developed the university’s “Guidance Note: Using Generative Artificial Intelligence in Research” and pioneered AI integration across multiple disciplines, winning the 2025 Vice‑Chancellor’s Excellence in Research Integrity Award and receiving Highly Commended for the Vice‑Chancellor’s Innovation in Education Award. His implementations span Languages, Security Studies, and Law, each featuring unique aspects such as AI‑optional and AI‑required assessments, cross‑model critical evaluation, and simulations. He teaches the effective use and techniques of generative AI to undergraduate and post‑graduate students, reaching more than 1,500 students through various initiatives.</p>

<p>Brian has conducted invited workshops and presentations on LLMs for staff, postgraduate students, and external stakeholders internationally. He has delivered his “Introduction to LLM” workshop to early‑career researchers and postgraduate students across Australia, Europe, and the United States on more than 40 occasions and has advised organisations from the University of Tasmania and Aarhus University to NBNco on AI policy and implementation.
His work on effective AI use has led to invitations from Oxford University, UK financial regulators via the Digital Regulation Cooperation Forum (DRCF), IEEE Silicon Valley, and multiple Australian universities to present and consult on policy, research, and practical pedagogy.</p>
<h1 id="research-profiles">Research Profiles</h1>

<ul>
  <li><a href="https://orcid.org/0000-0003-4932-7912">https://orcid.org/0000-0003-4932-7912</a></li>
  <li><a href="https://scholar.google.com/citations?user=gc0PEWQAAAAJ&amp;hl=en">https://scholar.google.com/citations?user=gc0PEWQAAAAJ&amp;hl=en</a></li>
  <li><a href="https://researchers.mq.edu.au/en/persons/brian-ballsun-stanton">https://researchers.mq.edu.au/en/persons/brian-ballsun-stanton</a></li>
</ul>

<h2 id="papers">Papers</h2>

<ul>
  <li><a href="https://www.tandfonline.com/doi/full/10.1080/1360080X.2025.2509187">A university framework for the responsible use of generative AI in research</a></li>
  <li><a href="https://link.springer.com/article/10.1007/s44204-025-00247-1">The use of large language models as scaffolds for proleptic reasoning</a>
    <ul>
      <li><a href="https://zenodo.org/records/15307492">Generative AI in Research: Disclosure &amp; Documentation Guidance / Checklist</a></li>
    </ul>
  </li>
</ul>

<h2 id="preprints">Preprints</h2>

<ul>
  <li><a href="https://osf.io/preprints/edarxiv/6mke5_v3">Teaching Students How to Effectively Interact with LLMs at University: Insights on the Longitudinal Development of AI-Locus of Control</a>
    <ul>
      <li><a href="https://osf.io/63gef/overview">Prompts</a></li>
    </ul>
  </li>
  <li><a href="https://zenodo.org/records/15583013">Teaching the Unknown: A Pedagogical Framework for Teaching With and About AI</a>
    <ul>
      <li><a href="https://osf.io/8dxj6/overview">Prompts</a></li>
    </ul>
  </li>
</ul>

<h2 id="teaching-with-and-about-ai---edited-volume-preprints">Teaching With and About AI - Edited Volume preprints</h2>

<ul>
  <li>[<a href="https://zenodo.org/communities/iacap-aisb-25-teachingai/records?q=&amp;l=list&amp;p=1&amp;s=10&amp;sort=newest">https://zenodo.org/communities/iacap-aisb-25-teachingai/records?q=&amp;l=list&amp;p=1&amp;s=10&amp;sort=newest</a>]</li>
</ul>

<h2 id="workshops-and-teaching">Workshops and Teaching</h2>

<ul>
  <li><a href="https://osf.io/rd24y/">An Introduction to LLMs</a></li>
  <li><a href="https://denubis.github.io/KI-Summercamp-2025/basic/">AI Summercamp 2025: Techniques and Ethics of Generative AI</a></li>
</ul>

<h2 id="keynotes-and-presentations">Keynotes and presentations</h2>

<ul>
  <li><a href="https://zenodo.org/records/17171573">How Teaching Must Become Process-Oriented instead of Knowledge-Oriented</a> from <a href="https://zenodo.org/records/15671962">The Emperor’s New Clothes: A Manifesto for Universities in an AI-Haunted World</a>
    <ul>
      <li><a href="https://osf.io/gm9qz/overview">Prompts</a></li>
    </ul>
  </li>
  <li><a href="https://zenodo.org/records/14885316">Research Use of LLMs: Beyond the chatbot</a></li>
  <li><a href="https://zenodo.org/records/10648834">Briefing on the Guidance Note on Generative AI in Research at Macquarie University</a> from <a href="https://zenodo.org/records/10851623">Guidance Note: Using Generative Artificial Intelligence in Research</a></li>
  <li><a href="https://denubis.github.io/germany-keynote-ai-policy-briefing/avoiding-sadness#/title-slide">Avoiding Sadness: Research policy for Generative AI</a></li>
</ul>

<h2 id="other-resources">Other resources</h2>

<ul>
  <li><a href="https://zenodo.org/records/10916388">Use of Generative Artificial Intelligence in Undergraduate Assessment</a></li>
</ul>

<h2 id="recordingsvideos">Recordings/Videos</h2>

<p>And if you want to hear me giving a lecture to a graduate research methods class: <a href="https://www.youtube.com/watch?v=NUHXpnZF_8I&amp;feature=youtu.be">https://www.youtube.com/watch?v=NUHXpnZF_8I&amp;feature=youtu.be</a></p>]]></content><author><name>Brian Ballsun-Stanton</name></author><summary type="html"><![CDATA[Dr Brian Ballsun‑Stanton is leading Macquarie University’s Faculty of Arts understanding, policy, teaching, and research initiatives around the techniques and appropriate uses of Generative AI. With a PhD in Philosophy of Data that enables him to bridge theoretical frameworks with practical implementations, he has developed the university’s “Guidance Note: Using Generative Artificial Intelligence in Research” and pioneered AI integration across multiple disciplines, winning the 2025 Vice‑Chancellor’s Excellence in Research Integrity Award and receiving Highly Commended for the Vice‑Chancellor’s Innovation in Education Award. His implementations span Languages, Security Studies, and Law, each featuring unique aspects such as AI‑optional and AI‑required assessments, cross‑model critical evaluation, and simulations. He teaches the effective use and techniques of generative AI to undergraduate and post‑graduate students, reaching more than 1,500 students through various initiatives.]]></summary></entry><entry><title type="html">Exercise 3: Plain Language Final Letter</title><link href="https://techethicsai.au/workshop/exercise3/" rel="alternate" type="text/html" title="Exercise 3: Plain Language Final Letter" /><published>2025-11-04T06:10:02+00:00</published><updated>2025-11-04T06:10:02+00:00</updated><id>https://techethicsai.au/workshop/exercise3</id><content type="html" xml:base="https://techethicsai.au/workshop/exercise3/"><![CDATA[<p>How do you prompt AI to write in a register you don’t normally use, while ensuring statistical accuracy?</p>

<h2 id="context">Context</h2>

<p>CT coordinators must communicate results to participants in plain language (National Statement 3.1.72). This exercise demonstrates two techniques: (1) using AI as a statistical checker before translation, and (2) copy-editing the source to identify unclear sections—avoiding propagating confusion into the plain language version.</p>

<h2 id="materials">Materials</h2>

<ul>
  <li><a href="https://pmc.ncbi.nlm.nih.gov/articles/PMC9204623/">Effect of High-Flow Nasal Cannula Therapy vs Continuous Positive Airway Pressure Therapy on Liberation From Respiratory Support in Acutely Ill Children Admitted to Pediatric Critical Care Units: A Randomized Clinical Trial
</a></li>
  <li><a href="https://www.rch.org.au/uploadedFiles/Main/Content/ethics/Guidelines%20for%20final%20letters%202023.docx">RCH Plain Language Guidance</a></li>
  <li><a href="https://www.rch.org.au/uploadedFiles/Main/Content/ethics/Example%20final%20letter.doc">RCH Final Letter Example</a></li>
  <li><a href="https://www.rch.org.au/uploadedFiles/Main/Content/ethics/RCH%20style%20guide.pdf">RCH Plain Language Style Guide</a></li>
</ul>

<h2 id="setup-3-min">Setup (3 min)</h2>

<ol>
  <li>Download the Ramnarayan et al. study and RCH materials</li>
  <li>Open Claude or Gemini</li>
</ol>

<h2 id="task---step-1-statistical-analysis-and-clarity-check">Task - Step 1: Statistical Analysis and Clarity Check</h2>

<p>In a new chat, upload the Ramnarayan et al. study and prompt the AI as follows:</p>

<blockquote>
  <p>Hi Claude. Please take the role of a highly meticulous copy-editor. We are preparing a plain language final letter communicating research results to participants. Before we do that though, we want to perform a final check of our preprint paper for the correct use of statistics, clarity, consistency, and flow.</p>

  <p>You will take <em>extra</em> time and be extremely thoughtful in your discussions and considerations. The user, above all else, requires thoughtful and reasoned editing and discussion. We need to ensure that everything is in a single, consistent, and clear register. We also need to remove some words, where possible.</p>

  <p>I would like you to highlight issues rather than making corrections. Then, for each issue, please thoughtfully discuss the issue. Do not suggest issues, but rather highlight your concerns, especially in items that may be confusing to a non-expert reader.</p>

  <p>To begin, please provide a functional decomposition of these tasks and give me a readback of the headers of the document.</p>
</blockquote>

<p>Attach the Ramnarayan et al. study or copy/paste from PubMed. Once you run it, make sure that you see all the headers!</p>

<blockquote>
  <p>Good.</p>

  <p>Please make these specific checks:</p>

  <ol>
    <li>
      <p>Extract statistical claims: List the main quantitative findings with their statistics (e.g., effect sizes, p-values, confidence intervals)</p>
    </li>
    <li>
      <p>Statistical appropriateness check: Are the statistical methods appropriate for the claims being made? Are there any red flags or overstatements?</p>
    </li>
    <li>
      <p>Methodology and results in plain language: How would you explain what they did to someone without statistics training? What are some concerns around communicating nuance that we should be aware of?</p>
    </li>
    <li>
      <p>Clarity issues in the original: Are there any sections of the original paper that are unclear, inconsistent, or have flow problems? Highlight these issues rather than making corrections.</p>
    </li>
  </ol>

  <p>Present this as a reference document I can check the final letter against.</p>
</blockquote>

<h2 id="task---step-2-changing-register-to-rch-plain-language-2-min">Task - Step 2: Changing register to RCH Plain Language (2 min)</h2>

<p>First, make a new system prompt.
<strong>System prompt:</strong></p>

<blockquote>
  <p>You are a plain language specialist helping draft final letters to research participants. All communications must meet RCH Plain Language Adviser standards: Grade 6-8 reading level, short sentences, active voice, no jargon without explanation. Be warm but not patronizing.</p>
</blockquote>

<p><strong>User prompt:</strong></p>

<blockquote>
  <p>Now, I need to write a plain language final letter communicating research results to participants. This letter must meet RCH Plain Language Adviser standards.</p>

  <p>Before writing, we will need to consider what makes an effective final letter, quote components from the attached RCH Plain Language Guidance, Example, and Style Guide. Please functionally decompose these documents with constraints to the appropriate register.</p>
</blockquote>

<p>Attach the RCH Plain Language Guidance, Example, and Style Guide.</p>

<h2 id="task---step-3-draft-with-rch-register-7-min">Task - Step 3: Draft with RCH Register (7 min)</h2>

<blockquote>
  <p>Using the statistical analysis from Step 1 and the outline from Step 2, make an outline, then draft the letter in plain language appropriate for participants with no medical training. Use the register, tone, and structure from the attached RCH examples.</p>
</blockquote>

<h2 id="debrief">Debrief</h2>

<ul>
  <li>How did the statistical analysis step change your approach?</li>
  <li>What clarity issues did AI identify in the original paper?</li>
  <li>How would you verify the final letter’s medical accuracy?</li>
  <li>When would you use this multi-step approach versus a single prompt?</li>
</ul>]]></content><author><name>Brian Ballsun-Stanton</name><email>brian.ballsun-stanton@mq.edu.au</email></author><category term="Workshop" /><summary type="html"><![CDATA[How do you prompt AI to write in a register you don’t normally use, while ensuring statistical accuracy?]]></summary></entry><entry><title type="html">Exercise 2: Systematic Qualitative Extraction</title><link href="https://techethicsai.au/workshop/exercise2/" rel="alternate" type="text/html" title="Exercise 2: Systematic Qualitative Extraction" /><published>2025-11-04T05:10:02+00:00</published><updated>2025-11-04T05:10:02+00:00</updated><id>https://techethicsai.au/workshop/exercise2</id><content type="html" xml:base="https://techethicsai.au/workshop/exercise2/"><![CDATA[<p>Can AI reliably extract thematic quotes from large policy documents without confabulation?</p>

<h2 id="materials">Materials</h2>

<p><a href="https://osf.io/62rqw">2019 Survey of Research Culture in Australian NHMRC-funded institutions (200pp PDF)</a></p>

<h2 id="setup-5-min">Setup (5 min)</h2>

<p>Configure Gemini 2.5 Pro with this <strong>system prompt</strong>:</p>

<blockquote>
  <p>You are a research assistant for a researcher. Ensure that all responses with regards to the document are directly quoted from the document, and all quotes from the document should be in blockquotes, with page number.</p>

  <p>If something is unclear indicate that you are unsure. If things are poorly operationalised, ask one question at a time until things become clear. There is no penalty for pausing and asking questions. There is no penalty for returning no results. There is a high penalty for seeking to please and returning false results.</p>
</blockquote>

<p><strong>Set temperature to 0</strong></p>

<p><strong>Make sure your model is Gemini 2.5 Pro</strong></p>

<h2 id="task---step-1-5-min">Task - Step 1 (5 min)</h2>

<blockquote>
  <p>Hi Gemini. We will be extracting blockquotes salient to specific kinds of responses from this study. However, to begin, please extract all of the question headings from this document.</p>
</blockquote>

<p>Attach <a href="https://osf.io/62rqw">the PDF.</a></p>

<h2 id="task---step-2-10-min">Task - Step 2 (10 min)</h2>

<blockquote>
  <p>For each question, please find all responses which speak to a theme of: “Time pressures affecting research quality”</p>

  <p>Return question code, comment number, the blockquote, and page number. Ensure that you list each header, and if there are no responsive items in that header, indicate a null set.</p>
</blockquote>

<h2 id="verification-3-min">Verification (3 min)</h2>

<p>Pick 2 quotes and use Ctrl+F in the PDF to verify they exist exactly as quoted.</p>

<h2 id="debrief-2-min">Debrief (2 min)</h2>

<ul>
  <li>How would you pull themes from your own qualitative research responses?</li>
  <li>How would you adapt this for protocol compliance checking?</li>
  <li>Why does the two-step process (extract questions first) matter?</li>
  <li>When is systematic extraction useful vs. overkill?</li>
  <li>Did other services work?</li>
</ul>]]></content><author><name>Brian Ballsun-Stanton</name><email>brian.ballsun-stanton@mq.edu.au</email></author><category term="Workshop" /><summary type="html"><![CDATA[Can AI reliably extract thematic quotes from large policy documents without confabulation?]]></summary></entry><entry><title type="html">Exercise 1: Drafting SOPs with Iterative Prompting</title><link href="https://techethicsai.au/workshop/exercise1/" rel="alternate" type="text/html" title="Exercise 1: Drafting SOPs with Iterative Prompting" /><published>2025-11-04T04:10:02+00:00</published><updated>2025-11-04T04:10:02+00:00</updated><id>https://techethicsai.au/workshop/exercise1</id><content type="html" xml:base="https://techethicsai.au/workshop/exercise1/"><![CDATA[<p>A demonstration of how functional decomposition and iterative questioning <em>can</em> prevent workslop.</p>

<h2 id="materials">Materials</h2>

<ul>
  <li><a href="https://www.australianclinicaltrials.gov.au/sites/default/files/2025-06/national-standard-operating-procedures-for-clinical-trials-in-australia.pdf">National Standard Operating Procedures for Clinical Trials in Australia</a></li>
  <li><a href="https://www.nhmrc.gov.au/about-us/publications/national-statement-ethical-conduct-human-research-2025">National Statement on Ethical Conduct in Human Research 2025</a></li>
  <li><a href="https://database.ich.org/sites/default/files/ICH_E6%28R3%29_Step4_FinalGuideline_2025_0106.pdf">ICH E6(R3) Good Clinical Practice Guideline</a></li>
</ul>

<h2 id="task">Task</h2>

<ol>
  <li>Open Claude or Gemini</li>
  <li><strong>Attach all three PDF documents to your conversation</strong></li>
  <li>Paste in the prompt below, then edit your [ROLE] and [SPECIFIC TOPIC]:</li>
</ol>

<blockquote>
  <p>Hi Claude.</p>

  <p>I work as a [ROLE] at a research institution conducting clinical trials. My goal is to draft a standard operating procedure for [SPECIFIC TOPIC] that complies with Australian regulatory requirements and ICH-GCP.</p>

  <p>Before drafting, please:</p>

  <ol>
    <li>Functionally decompose what makes an effective SOP for this topic</li>
    <li>Identify relevant requirements from the three attached documents (National Statement, ICH E6(R3), Australian national SOPs)</li>
    <li>Ask me one <em>specific</em>, pointed, and critical question at a time about my site’s context until you have enough detail to draft a practical SOP</li>
  </ol>

  <p>Do not assume—if things are unclear about my site’s procedures, push on the words I use.</p>

  <p>To begin, please give me a readback of this task.</p>
</blockquote>

<ol>
  <li>Answer the AI’s questions until it drafts the SOP</li>
</ol>

<h2 id="discussion">Discussion</h2>

<ul>
  <li>What was your experience?</li>
  <li>What models did you try?</li>
  <li>What questions did it highlight for you to ask?</li>
</ul>]]></content><author><name>Brian Ballsun-Stanton</name><email>brian.ballsun-stanton@mq.edu.au</email></author><category term="Workshop" /><summary type="html"><![CDATA[A demonstration of how functional decomposition and iterative questioning can prevent workslop.]]></summary></entry></feed>