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Angel Hsing-Chi Hwang

@angelhwang.bsky.social

Assistant Professor at USC Annenberg and affiliated faculty at USC Center for AI in Society | Previously Cornell IS & Cornell Comm. Research on #HCI, #AI, and #FutureOfWork | https://angelhwang.github.io/

17 Posts197 Follower108 Folgt
Angel Hsing-Chi Hwang@angelhwang.bsky.social · 9mo ago

Beyond honored to speak as keynote for the Comm Horizons Conference at UC Davis!! Triple shout-outs to @richardhuskey.bsky.social, Jorge Peña, and @soojongkim.bsky.social Soojong Kim for organizing efforts. Please consider sending your work and attending the conference (+a short visit to Napa! 🍇🍷)

Richard Huskey@richardhuskey.bsky.social · 9mo ago

Excited to announce the third annual Comm Horizons @ucdavis.bsky.social Conference: Communication in the Age of AI and Algorithms Featuring cutting-edge research and keynotes from Jeff Hancock and @angelhwang.bsky.social Hope you'll submit and share! communication.ucdavis.edu/horizonconf2...

Hauke Sandhaus@sandhaus.bsky.social · 10mo ago

Welcoming all new @acm-cscw.bsky.social followers 🥰! I presented my paper "My Precious Crash Data: Barriers and Opportunities in Encouraging Autonomous Driving Companies to Share Safety-Critical Data" with @angelhwang.bsky.social , @fabulousqian.bsky.social and @wendyju.bsky.social already online!

My Precious Crash Data: Barriers and Opportunities in Encouraging Autonomous Driving Companies to Share Safety-Critical Data | Proceedings of the ACM on Human-Computer Interaction

Safety-critical data, such as crash and near-crash records, are crucial to improving autonomous vehicle (AV) design and development. Sharing such data across AV companies, academic researchers, regulators, and the public can help make all AVs safer. ...

dl.acm.org

Alex Hanna@alexhanna.bsky.social · last yr.

I would also like to remind folks that OpenAI wrote a paper in which they prompted GPT-4 on which jobs they thought would be most exposed to automation. They validated it by comparing it to responses that people who worked OpenAI gave to the same question. arxiv.org/abs/2303.10130

GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models

We investigate the potential implications of large language models (LLMs), such as Generative Pre-trained Transformers (GPTs), on the U.S. labor market, focusing on the increased capabilities arising ...

arxiv.org

Aparna Nair@disabilitystor1.bsky.social · last yr.

Just a reminder this list is drawn from a piece written by four researchers for MICROSOFT (data scientists, CS people, economists) who have never stepped foot in an archive/never taken an oral history/studied material culture, by their CVs. Unlike them, I do my research, and don't talk out my ass.

Columbia Journalism Review@columjournreview.bsky.social · last yr.

AI is already changing how journalists operate. Reporters, editors, executives, and others across the news industry share their advice on how to engage—and where to draw the line. By @mikeananny.bsky.social and @mattdpearce.com with USC's AI for Media & Storytelling. www.cjr.org/feature-2/ho...

How We’re Using AI

The rapid development of AI is already changing how journalists operate. Reporters, editors, executives, and others across the news industry share their advice on how to engage—and where to draw the l...

cjr.org

John Holbein@johnholbein1.bsky.social · last yr.

If you run conjoint experiments, you need to read this. Most conjoints estimate average effects for each attribute. But what if the effect of one attribute depends on the others? This paper has got you covered!

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Angel Hsing-Chi Hwang@angelhwang.bsky.social · last yr.

Starting my journey on Bluesky with a topic that I care deeply about: AI tools can support creators in various ways, but disclosing AI use may risk devaluing creative work. Check out our abstract here: angelhwang.github.io/doc/ic2s2_AI... Inspired by our past work: arxiv.org/abs/2411.13032

"It was 80% me, 20% AI": Seeking Authenticity in Co-Writing with Large Language Models

Given the rising proliferation and diversity of AI writing assistance tools, especially those powered by large language models (LLMs), both writers and readers may have concerns about the impact of th...

arxiv.org