Casey Fiesler

#computing #ethics #law #feminism #geek

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Casey Fiesler is an assistant professor in the Department of Information Science (and Computer Science, by courtesy) at the University of Colorado Boulder.  Armed with a PhD in Human-Centered Computing from Georgia Tech and a JD from Vanderbilt Law School, she primarily researches social computing, ethics, law, and fan communities (occasionally all at the same time). [curriculum vitae]

Follow me!  Twitter | TikTok | YouTube

Here is a link to my research lab page! The Internet Rules Lab

If you’re looking for a giant spreadsheet of tech ethics curricula, here!
If you’re looking for my Computer Engineer Barbie remix, here!
For an overview of my tech ethics-related research, here!
For an overview of my fandom-related research, here!

NEWS

05.04.22 I spoke to WIRED about the potential impact of the EU digital services act on TikTok.

04.30.22 I attended the CHI conference and participated as a doctoral consortium mentor, in addition to running a special interest group discussion research ethics in HCI. Also our PERVADE research group had an exhibit booth and had great discussions with folks about data ethics!

03.11.22 My university alumni magazine, The Coloradan, published a piece about my TikTok and my tech ethics research: TikTok Ethics: Is Social Tech Such a Threat?

03.10.22 I was a panelist for the Future of Privacy Forum’s data privacy book club discussion of Neal Stephenson’s Snow Crash.

03.04.22 Our SIGCSE 2022 paper “‘Run a little wild with your imagination: Ethical speculation in computing education with Black Mirror” (led by Shamika Klassen) was published, and I also wrote a blog post about what we learned from experiences with the Black Mirror Writers Room teaching exercise.

02.28.22 I participated in the book launch event for Human-Centered Data Science: An Introduction (MIT Press), for which I contributed an essay on data scraping and terms of service!

01.26.22 I wrote an op ed for NBC THINK: What TikTok’s ‘West Elm Caleb’ says about dating, social media — and us

01.23.22 I was quoted in Business Insider on the topic of bias in facial recognition for gender.

12.18.21 I was quoted in The Washington Post about school threats circulating on TikTok.

12.10.21 I was on a plenary panel for NeurIPS 2021: “How should a machine learning research think about AI ethics?”  Fortune also quoted me in an article recapping highlights of the conference.

12.08.21 I have a talk for the NYU Center for Data Science titled “Data Is People: Unintended Consequences in AI & Data Science.” I also tweeted this talk!

12.01.21 An essay I wrote about AI ethics and science fiction appeared in StoryThings

10.27.21 CU Boulder Today did a nice write-up of our research about Black Twitter led by PhD student Shamika Klassen, and it was subsequently covered by The Root, Boulder Weekly, The Denver Post, and Shamika was interviewed on MSNBC and 9 News.

10.23.21 The ACM CSCW conference was 10/23-10/27, and there were a number of papers from our department published in Proceedings of the ACM on Human-Computer Interaction, including including my cco-authored papers: “A Framework of Severity for Harmful Content Online” (led by Morgan Klaus Scheuerman), “Supporting Serendipity: Opportunities and Challenges for Human-AI Collaboration in Qualitative Analysis” (led by Aaron Jiang), and “More than a Modern Day Green Book: Exploring the Online Community of Black Twitter” (led by Shamika Klassen) , which was awarded an Honorable Mention and a Recognition for Contributions to Diversity and Inclusion. I also chaired the SIGCHI Research Ethics panel at the conference.

10.20.21 I wrote a blog post about the return of Yik Yak and how it relates to social media’s current ethical challenges.

10.09.21 I spoke to Insider about a piece of viral content on TikTok.

10.04.21 I was on local news (FOX 31) talking about implications of the Facebook outage.

09.21.21 I was featured in a piece for O’Reilly Radar about social media ethics.

09.16.21 There is a profile of me in the Responsible Tech Guide created by All Tech is Human.

[News Archive]

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