misc

Author: thestephencasper

.idea/workspace.xml

@@ -10,6 +10,16 @@ <h3>Principal Investigator</h3>
     Dylan is an assistant professor on the faculty of Artificial Intelligence and Decision-Making in the EECS Department and Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology (MIT). His research focuses on the problem of agent alignment: the challenge of identifying behaviors that are consistent with the goals of another actor or group of actors. His work aims to identify algorithmic solutions to alignment problems that arise from groups of AI systems, principal-agent pairs (i.e., human-robot teams), and societal oversight of ML systems.
 </p>
 
+<h3>Postdoctoral Researchers</h3>
+
+
+<p>
+    <img style="padding-right: 15px;" src="/docs/assets/rakshit_image.jpg" width="160" height="160" alt="Rakshit S. Trivedi">
+    <strong>Rakshit S. Trivedi</strong>, rstrivedi[at]csail[dot]mit[dot]edu
+    <br>
+    Rakshit is a Postdoctoral Associate in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. Prior to that, he was a Postdoctoral Fellow in EconCS at Harvard School of Engineering and Applied Sciences (SEAS) working on multi-agent reinforcement learning and imitation learning for economic design. He obtained his PhD from Georgia Institute of Technology, focusing on machine learning for networked and multi-agent systems. He is broadly interested in the development of AI capable of learning from human experiences, can quickly adapt to evolving human needs, and achieve alignment with human values. Through the lens of multi-agent reinforcement learning, he is interested in studying the effectiveness of such AI in the presence of social, economic and cultural factors.
+</p>
+
 <h3>Ph.D Students</h3>
 
 
@@ -79,13 +89,6 @@ <h3>Masters Students</h3>
     Prajna is an S.M. student in the Technology and Policy Program and EECS. Her research interests are broadly in the evaluation of algorithmic systems, both from a technical and regulatory perspective, algorithmic fairness and tools which facilitate the development of safer and more trustworthy AI. Prior to MIT, Prajna graduated from NYU Abu Dhabi in 2020 and was awarded the Post-graduate Research Fellow at NYU Abu Dhabi where she investigated bias propagation in recommender systems.
 </p>
 
-<p>
-    <img style="padding-right: 15px;" src="/docs/assets/rjy2.jpeg" width="160" height="160" alt="Rui-Jie Yew">
-    <strong>Rui-Jie Yew</strong>, rjy[at]mit[dot]edu, <a href="https://r-jy.github.io/">Website</a>
-    <br>
-    Rui-Jie is an S.M. student in Technology and Policy. Her research interests are in the human-centered and legal aspects of computation, both in the design of regulation for emerging technologies as well as in the operationalization of legal values for technical systems. In 2021, she received a joint B.A. in computer science and mathematics from Scripps College as an off-campus student at Harvey Mudd College.
-</p>
-
 <p>
     <img style="padding-right: 15px;" src="/docs/assets/taylor.png" width="160" height="160" alt="Taylor Curtis">
     <strong>Taylor Lynn Curtis</strong>, tlcurtis[at]mit[dot]edu, <a href="https://www.linkedin.com/in/taylor-lynn-curtis-650746142/">LinkedIn</a>
@@ -95,6 +98,13 @@ <h3>Masters Students</h3>
 
 <h3>Former Students</h3>
 
+<p>
+    <img style="padding-right: 15px;" src="/docs/assets/rjy2.jpeg" width="160" height="160" alt="Rui-Jie Yew">
+    <strong>Rui-Jie Yew</strong>, rjy[at]mit[dot]edu, <a href="https://r-jy.github.io/">Website</a>
+    <br>
+    Rui-Jie is an S.M. student in Technology and Policy. Her research interests are in the human-centered and legal aspects of computation, both in the design of regulation for emerging technologies as well as in the operationalization of legal values for technical systems. In 2021, she received a joint B.A. in computer science and mathematics from Scripps College as an off-campus student at Harvey Mudd College.
+</p>
+
 <p>
     <img style="padding-right: 15px;" src="/docs/assets/jovana.jpg" width="160" height="160" alt="Jovana Kondic">
     <strong>Jovana Kondic</strong>, jkondic[at]mit[dot]edu, <a href="https://www.linkedin.com/in/jovanakondic/">LinkedIn</a>

_includes/team.html

@@ -1,4 +1,4 @@
-<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="4.3.2">Jekyll</generator><link href="https://thestephencasper.github.io/feed.xml" rel="self" type="application/atom+xml" /><link href="https://thestephencasper.github.io/" rel="alternate" type="text/html" /><updated>2023-03-29T22:26:24-04:00</updated><id>https://thestephencasper.github.io/feed.xml</id><title type="html">Algorithmic Alignment Group</title><subtitle>Researching frameworks for human-aligned AI @ MIT CSAIL.</subtitle><entry><title type="html">Welcome to Jekyll!</title><link href="https://thestephencasper.github.io/jekyll/update/2022/02/19/welcome-to-jekyll.html" rel="alternate" type="text/html" title="Welcome to Jekyll!" /><published>2022-02-19T23:49:21-05:00</published><updated>2022-02-19T23:49:21-05:00</updated><id>https://thestephencasper.github.io/jekyll/update/2022/02/19/welcome-to-jekyll</id><content type="html" xml:base="https://thestephencasper.github.io/jekyll/update/2022/02/19/welcome-to-jekyll.html"><![CDATA[<p>You’ll find this post in your <code class="language-plaintext highlighter-rouge">_posts</code> directory. Go ahead and edit it and re-build the site to see your changes. You can rebuild the site in many different ways, but the most common way is to run <code class="language-plaintext highlighter-rouge">jekyll serve</code>, which launches a web server and auto-regenerates your site when a file is updated.</p>
+<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="4.3.2">Jekyll</generator><link href="https://thestephencasper.github.io/feed.xml" rel="self" type="application/atom+xml" /><link href="https://thestephencasper.github.io/" rel="alternate" type="text/html" /><updated>2023-05-23T08:00:15-04:00</updated><id>https://thestephencasper.github.io/feed.xml</id><title type="html">Algorithmic Alignment Group</title><subtitle>Researching frameworks for human-aligned AI @ MIT CSAIL.</subtitle><entry><title type="html">Welcome to Jekyll!</title><link href="https://thestephencasper.github.io/jekyll/update/2022/02/19/welcome-to-jekyll.html" rel="alternate" type="text/html" title="Welcome to Jekyll!" /><published>2022-02-19T23:49:21-05:00</published><updated>2022-02-19T23:49:21-05:00</updated><id>https://thestephencasper.github.io/jekyll/update/2022/02/19/welcome-to-jekyll</id><content type="html" xml:base="https://thestephencasper.github.io/jekyll/update/2022/02/19/welcome-to-jekyll.html"><![CDATA[<p>You’ll find this post in your <code class="language-plaintext highlighter-rouge">_posts</code> directory. Go ahead and edit it and re-build the site to see your changes. You can rebuild the site in many different ways, but the most common way is to run <code class="language-plaintext highlighter-rouge">jekyll serve</code>, which launches a web server and auto-regenerates your site when a file is updated.</p>
 
 <p>Jekyll requires blog post files to be named according to the following format:</p>
 

_site/feed.xml

@@ -8,3 +8,4 @@ http://localhost:4000/
 bundle exec jekyll build
 scp -r ./_site scasper@align-2.csail.mit.edu:/afs/csail/group/ei/www/
 # remember to push to github
+

_site/notes.txt

@@ -79,6 +79,8 @@ <h2 id="research">Research</h2>
 
 <h3 id="2023">2023</h3>
 
+<p>Yew, R.J.<em>, Curtis, T.L.</em>, Leake, M., Podimata, C.<em>, Hadfield-Menell, D.</em> (2023). <a href="https://cornell.app.box.com/s/gtqnbjiial0kzcqcr5awqdfz10hv0c92">Policy Paths Toward an Understanding of AI Interfaces: A Case Study on Recommendation Platforms.</a> 2023 ACM CHI Designing Technology and Policy Simultaneously Workshop.</p>
+
 <p>Casper, S., Li, Y., Li, J., Bu, T., Zhang, K., Hadfield-Menell, D., (2023). <a href="https://arxiv.org/abs/2302.10894">Benchmarking Interpretability Tools for Deep Neural Networks.</a> arXiv preprint arXiv:2302.10894</p>
 
 <p>Haupt, A., Hadfield-Menell, D., &amp; Podimata, C. (2023). <a href="https://arxiv.org/abs/2302.06559">Recommending to Strategic Users.</a> arXiv preprint arXiv:2302.06559.</p>

_site/research/index.html

@@ -86,6 +86,15 @@ <h3>Principal Investigator</h3>
     Dylan is an assistant professor on the faculty of Artificial Intelligence and Decision-Making in the EECS Department and Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology (MIT). His research focuses on the problem of agent alignment: the challenge of identifying behaviors that are consistent with the goals of another actor or group of actors. His work aims to identify algorithmic solutions to alignment problems that arise from groups of AI systems, principal-agent pairs (i.e., human-robot teams), and societal oversight of ML systems.
 </p>
 
+<h3>Postdoctoral Researchers</h3>
+
+<p>
+    <img style="padding-right: 15px;" src="/docs/assets/rakshit_image.jpg" width="160" height="160" alt="Rakshit S. Trivedi" />
+    <strong>Rakshit S. Trivedi</strong>, rstrivedi[at]csail[dot]mit[dot]edu
+    <br />
+    Rakshit is a Postdoctoral Associate in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. Prior to that, he was a Postdoctoral Fellow in EconCS at Harvard School of Engineering and Applied Sciences (SEAS) working on multi-agent reinforcement learning and imitation learning for economic design. He obtained his PhD from Georgia Institute of Technology, focusing on machine learning for networked and multi-agent systems. He is broadly interested in the development of AI capable of learning from human experiences, can quickly adapt to evolving human needs, and achieve alignment with human values. Through the lens of multi-agent reinforcement learning, he is interested in studying the effectiveness of such AI in the presence of social, economic and cultural factors.
+</p>
+
 <h3>Ph.D Students</h3>
 
 <p>
@@ -153,13 +162,6 @@ <h3>Masters Students</h3>
     Prajna is an S.M. student in the Technology and Policy Program and EECS. Her research interests are broadly in the evaluation of algorithmic systems, both from a technical and regulatory perspective, algorithmic fairness and tools which facilitate the development of safer and more trustworthy AI. Prior to MIT, Prajna graduated from NYU Abu Dhabi in 2020 and was awarded the Post-graduate Research Fellow at NYU Abu Dhabi where she investigated bias propagation in recommender systems.
 </p>
 
-<p>
-    <img style="padding-right: 15px;" src="/docs/assets/rjy2.jpeg" width="160" height="160" alt="Rui-Jie Yew" />
-    <strong>Rui-Jie Yew</strong>, rjy[at]mit[dot]edu, <a href="https://r-jy.github.io/">Website</a>
-    <br />
-    Rui-Jie is an S.M. student in Technology and Policy. Her research interests are in the human-centered and legal aspects of computation, both in the design of regulation for emerging technologies as well as in the operationalization of legal values for technical systems. In 2021, she received a joint B.A. in computer science and mathematics from Scripps College as an off-campus student at Harvey Mudd College.
-</p>
-
 <p>
     <img style="padding-right: 15px;" src="/docs/assets/taylor.png" width="160" height="160" alt="Taylor Curtis" />
     <strong>Taylor Lynn Curtis</strong>, tlcurtis[at]mit[dot]edu, <a href="https://www.linkedin.com/in/taylor-lynn-curtis-650746142/">LinkedIn</a>
@@ -169,6 +171,13 @@ <h3>Masters Students</h3>
 
 <h3>Former Students</h3>
 
+<p>
+    <img style="padding-right: 15px;" src="/docs/assets/rjy2.jpeg" width="160" height="160" alt="Rui-Jie Yew" />
+    <strong>Rui-Jie Yew</strong>, rjy[at]mit[dot]edu, <a href="https://r-jy.github.io/">Website</a>
+    <br />
+    Rui-Jie is an S.M. student in Technology and Policy. Her research interests are in the human-centered and legal aspects of computation, both in the design of regulation for emerging technologies as well as in the operationalization of legal values for technical systems. In 2021, she received a joint B.A. in computer science and mathematics from Scripps College as an off-campus student at Harvey Mudd College.
+</p>
+
 <p>
     <img style="padding-right: 15px;" src="/docs/assets/jovana.jpg" width="160" height="160" alt="Jovana Kondic" />
     <strong>Jovana Kondic</strong>, jkondic[at]mit[dot]edu, <a href="https://www.linkedin.com/in/jovanakondic/">LinkedIn</a>

_site/team/index.html

@@ -11,6 +11,8 @@ Find us on [Github](https://github.com/Algorithmic-Alignment-Lab).
 
 ### 2023
 
+Yew, R.J.*, Curtis, T.L.*, Leake, M., Podimata, C.*, Hadfield-Menell, D.* (2023). [Policy Paths Toward an Understanding of AI Interfaces: A Case Study on Recommendation Platforms.](https://cornell.app.box.com/s/gtqnbjiial0kzcqcr5awqdfz10hv0c92) 2023 ACM CHI Designing Technology and Policy Simultaneously Workshop.
+
 Casper, S., Li, Y., Li, J., Bu, T., Zhang, K., Hadfield-Menell, D., (2023). [Benchmarking Interpretability Tools for Deep Neural Networks.](https://arxiv.org/abs/2302.10894) arXiv preprint arXiv:2302.10894
 
 Haupt, A., Hadfield-Menell, D., & Podimata, C. (2023). [Recommending to Strategic Users.](https://arxiv.org/abs/2302.06559) arXiv preprint arXiv:2302.06559.