most citedCan Workers Meaningfully Consent to Workplace Wellbeing Technologies?

51 citations · 114 across the 9 of their papers we have counts for

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cs.HC20242 cited

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

Angel Hsing-Chi Hwang, Q. Vera Liao, Su Lin Blodgett +2

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 ab…

cs.HC202311 cited

AHA!: Facilitating AI Impact Assessment by Generating Examples of Harms

Zana Buçinca, Chau Minh Pham, Maurice Jakesch +3

While demands for change and accountability for harmful AI consequences mount, foreseeing the downstream effects of deploying AI systems remains a challenging task. We developed AH…

cs.HC202351 cited

Can Workers Meaningfully Consent to Workplace Wellbeing Technologies?

Shreya Chowdhary, Anna Kawakami, Mary L. Gray +3

Sensing technologies deployed in the workplace can unobtrusively collect detailed data about individual activities and group interactions that are otherwise difficult to capture. A…

cs.HC2023

Sensing Wellbeing in the Workplace, Why and For Whom? Envisioning Impacts with Organizational Stakeholders

Anna Kawakami, Shreya Chowdhary, Shamsi T. Iqbal +4

With the heightened digitization of the workplace, alongside the rise of remote and hybrid work prompted by the pandemic, there is growing corporate interest in using passive sensi…

cs.HC202346 cited

Human-Centered Responsible Artificial Intelligence: Current & Future Trends

Mohammad Tahaei, Marios Constantinides, Daniele Quercia +13

In recent years, the CHI community has seen significant growth in research on Human-Centered Responsible Artificial Intelligence. While different research communities may use diffe…