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<h1 class="post-title">
Katelyn C. Morrison
</h1>
<p class="desc"><a href="https://dig.cmu.edu/" target="_blank" rel="noopener noreferrer">DIG Lab</a> <img src="/assets/img/DIG-light.svg" height="30px/"> @ Carnegie Mellon University.</p>
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<div class="address">
<i class="far fa-file-alt"></i> <a href="/assets/pdf/Morrison_Katelyn_Resume.pdf">Current Resume</a>
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<div class="clearfix">
<p>I recently defended my Ph.D. and graduated from Carnegie Mellon University’s School of Computer Science, where I was fortunate to be advised by <a href="https://perer.org/" target="_blank" rel="noopener noreferrer">Adam Perer</a> in the Human–Computer Interaction Institute. Starting June 2026, I will be joining Microsoft as a Senior Applied Scientist on the Outlook Science Team, managed by Alex Williams where I will have the opportunity to expand the design space for human–AI collaboration for emails and knowledge management. During my Ph.D., my work bridged technical machine learning approaches and human-centered methods to design and evaluate explainable AI (XAI) systems that enhance human-AI collaborations in decision-making contexts, such as healthcare and wildlife conservation. Throughout my Ph.D., I completed multiple research internships at Microsoft Research and IBM Research. I graduated from the University of Pittsburgh in May 2021 with a bachelor’s degree in computer science and a certificate in sustainability. In undergrad, I focused on the application and limitations of computer vision models as well as the distribution of smart mobility resources within cities.</p>
</div>
<div class="news">
<h2>news</h2>
<div class="table-responsive">
<table class="table table-sm table-borderless">
<tr>
<th scope="row">Jun 1, 2026</th>
<td>
Starting my new role as a Senior Applied Scientist in the Experiences & Devices org on the Outlook Science Team at Microsoft! <img class="emoji" title=":sparkles:" alt=":sparkles:" src="https://github.githubassets.com/images/icons/emoji/unicode/2728.png" height="20" width="20">
</td>
</tr>
<tr>
<th scope="row">Apr 12, 2026</th>
<td>
Our paper was accepted to the ACM Interactive Health Journal! <img class="emoji" title=":sparkles:" alt=":sparkles:" src="https://github.githubassets.com/images/icons/emoji/unicode/2728.png" height="20" width="20">
</td>
</tr>
<tr>
<th scope="row">Apr 12, 2026</th>
<td>
Received the ACM TiiS Best Paper Award! <img class="emoji" title=":sparkles:" alt=":sparkles:" src="https://github.githubassets.com/images/icons/emoji/unicode/2728.png" height="20" width="20">
</td>
</tr>
<tr>
<th scope="row">Mar 24, 2026</th>
<td>
Defended my PhD thesis! <img class="emoji" title=":tada:" alt=":tada:" src="https://github.githubassets.com/images/icons/emoji/unicode/1f389.png" height="20" width="20">
</td>
</tr>
<tr>
<th scope="row">Nov 1, 2025</th>
<td>
I’m on the job market!
</td>
</tr>
</table>
</div>
</div>
<div class="publications">
<h2>selected publications</h2>
<ol class="bibliography">
<li>
<div class="row">
<div class="col-sm-2 abbr">
<abbr class="badge">Conference Paper</abbr>
</div>
<div id="morrison2025ahumancent" class="col-sm-8">
<div class="title">A Human-Centered Approach to Identifying Promises, Risks, & Challenges of Text-to-Image Generative AI in Radiology</div>
<div class="author">
<span class="author-self">Morrison, Katelyn</span>,
Mathur, Arpit,
Bradshaw, Aidan,
Wartmann, Tom,
Lundi, Steven,
Zandifar, Afrooz,
Dai, Weichang,
Batmanghelich, Kayhan,
Eslami, Motahhare,
and <a href="https://perer.org/" target="_blank" rel="noopener noreferrer">Perer, Adam</a>
</div>
<div class="periodical">
<em>Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society</em>
2025
</div>
<div class="links">
<a class="abstract btn btn-sm z-depth-0" role="button">Abs</a>
<a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a>
<a href="https://ojs.aaai.org/index.php/AIES/article/download/36672/38810" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="noopener noreferrer">PDF</a>
</div>
<!-- Hidden abstract block -->
<div class="abstract hidden">
<p>As text-to-image generative models rapidly improve, AI researchers are making significant advances in developing domain-specific models capable of generating complex medical imagery from text prompts. Despite this, these technical advancements have overlooked whether and how medical professionals would benefit from and use text-to-image generative AI (GenAI) in practice. By developing domain-specific GenAI without involving stakeholders, we risk the potential of building models that are either not useful or even more harmful than helpful. In this paper, we adopt a human-centered approach to responsible model development by involving stakeholders in evaluating and reflecting on the promises, risks, and challenges of a novel text-to-CT Scan GenAI model. Through exploratory model prompting activities, we uncover the perspectives of medical students, radiology trainees, and radiologists on the role that text-to-CT Scan GenAI can play across medical education, training, and practice. This human-centered approach additionally enabled us to surface technical challenges and domain-specific risks of generating synthetic medical images. We conclude by reflecting on the implications of medical text-to-image GenAI.</p>
</div>
<!-- Hidden bibtex block -->
<div class="bibtex hidden">
<figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@article</span><span class="p">{</span><span class="nl">morrison2025ahumancent</span><span class="p">,</span>
<span class="na">abbr</span> <span class="p">=</span> <span class="s">{Conference Paper}</span><span class="p">,</span>
<span class="na">bibtex_show</span> <span class="p">=</span> <span class="s">{true}</span><span class="p">,</span>
<span class="na">selected</span> <span class="p">=</span> <span class="s">{true}</span><span class="p">,</span>
<span class="na">title</span> <span class="p">=</span> <span class="s">{A Human-Centered Approach to Identifying Promises, Risks, & Challenges of Text-to-Image Generative AI in Radiology}</span><span class="p">,</span>
<span class="na">author</span> <span class="p">=</span> <span class="s">{Morrison, Katelyn and Mathur, Arpit and Bradshaw, Aidan and Wartmann, Tom and Lundi, Steven and Zandifar, Afrooz and Dai, Weichang and Batmanghelich, Kayhan and Eslami, Motahhare and Perer, Adam}</span><span class="p">,</span>
<span class="na">journal</span> <span class="p">=</span> <span class="s">{Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society}</span><span class="p">,</span>
<span class="na">volume</span> <span class="p">=</span> <span class="s">{8}</span><span class="p">,</span>
<span class="na">number</span> <span class="p">=</span> <span class="s">{2}</span><span class="p">,</span>
<span class="na">pages</span> <span class="p">=</span> <span class="s">{1758-1770}</span><span class="p">,</span>
<span class="na">year</span> <span class="p">=</span> <span class="s">{2025}</span><span class="p">,</span>
<span class="na">pub_year</span> <span class="p">=</span> <span class="s">{2025}</span><span class="p">,</span>
<span class="na">citation</span> <span class="p">=</span> <span class="s">{Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 8 (2 ..., 2025}</span><span class="p">,</span>
<span class="na">pdf</span> <span class="p">=</span> <span class="s">{https://ojs.aaai.org/index.php/AIES/article/download/36672/38810}</span>
<span class="p">}</span></code></pre></figure>
</div>
</div>
</div>
</li>
<li>
<div class="row">
<div class="col-sm-2 abbr">
<abbr class="badge">Conference Paper</abbr>
</div>
<div id="morrison2024theimpacto" class="col-sm-8">
<div class="title">The Impact of Imperfect XAI on Human-AI Decision-Making</div>
<div class="author">
<span class="author-self">Morrison, Katelyn</span>,
Spitzer, Philipp,
Turri, Violet,
Feng, Michelle,
Kühl, Niklas,
and <a href="https://perer.org/" target="_blank" rel="noopener noreferrer">Perer, Adam</a>
</div>
<div class="periodical">
<em>ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW)</em>
2024
</div>
<div class="links">
<a class="abstract btn btn-sm z-depth-0" role="button">Abs</a>
<a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a>
<a href="https://arxiv.org/pdf/2307.13566.pdf" class="btn btn-sm z-depth-0" role="button" target="_blank" rel="noopener noreferrer">HTML</a>
</div>
<!-- Hidden abstract block -->
<div class="abstract hidden">
<p>Explainability techniques are rapidly being developed to improve human-AI decision-making across various cooperative work settings. Consequently, previous research has evaluated how decision-makers collaborate with imperfect AI by investigating appropriate reliance and task performance with the aim of designing more human-centered computer-supported collaborative tools. Several human-centered explainable AI (XAI) techniques have been proposed in hopes of improving decision-makers’ collaboration with AI; however, these techniques are grounded in findings from previous studies that primarily focus on the impact of incorrect AI advice. Few studies acknowledge the possibility of the explanations being incorrect even if the AI advice is correct. Thus, it is crucial to understand how imperfect XAI affects human-AI decision-making. In this work, we contribute a robust, mixed-methods user study with 136 ...</p>
</div>
<!-- Hidden bibtex block -->
<div class="bibtex hidden">
<figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@article</span><span class="p">{</span><span class="nl">morrison2024theimpacto</span><span class="p">,</span>
<span class="na">abbr</span> <span class="p">=</span> <span class="s">{Conference Paper}</span><span class="p">,</span>
<span class="na">bibtex_show</span> <span class="p">=</span> <span class="s">{true}</span><span class="p">,</span>
<span class="na">selected</span> <span class="p">=</span> <span class="s">{true}</span><span class="p">,</span>
<span class="na">title</span> <span class="p">=</span> <span class="s">{The Impact of Imperfect XAI on Human-AI Decision-Making}</span><span class="p">,</span>
<span class="na">author</span> <span class="p">=</span> <span class="s">{Morrison, Katelyn and Spitzer, Philipp and Turri, Violet and Feng, Michelle and Kühl, Niklas and Perer, Adam}</span><span class="p">,</span>
<span class="na">journal</span> <span class="p">=</span> <span class="s">{ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW)}</span><span class="p">,</span>
<span class="na">year</span> <span class="p">=</span> <span class="s">{2024}</span><span class="p">,</span>
<span class="na">pub_year</span> <span class="p">=</span> <span class="s">{2024}</span><span class="p">,</span>
<span class="na">citation</span> <span class="p">=</span> <span class="s">{ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social ..., 2024}</span><span class="p">,</span>
<span class="na">html</span> <span class="p">=</span> <span class="s">{https://arxiv.org/pdf/2307.13566.pdf}</span>
<span class="p">}</span></code></pre></figure>
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</li>
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