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20202026
most citedWEIRD FAccTs: How Western, Educated, Industrialized, Rich, and Democratic is FAccT?

53 citations · 227 across the 37 of their papers we have counts for

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Showing 2023Show all

10 papers · 1 filter

cs.CY2023★ 2 cited

The Potential Impact of AI Innovations on U.S. Occupations

Ali Akbar Septiandri, Marios Constantinides, Daniele Quercia

An occupation is comprised of interconnected tasks, and it is these tasks, not occupations themselves, that are affected by AI. To evaluate how tasks may be impacted, previous appr…

cs.CY2023★ 4 cited

FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing

Sofia Yfantidou, Dimitris Spathis, Marios Constantinides +2

How can we ensure that Ubiquitous Computing (UbiComp) research outcomes are both ethical and fair? While fairness in machine learning (ML) has gained traction in recent years, fair…

cs.HC2023

Our Nudges, Our Selves: Tailoring Mobile User Engagement Using Personality

Nima Jamalian, Marios Constantinides, Sagar Joglekar +2

To increase mobile user engagement, current apps employ a variety of behavioral nudges, but these engagement techniques are applied in a one-size-fits-all approach. Yet the very sa…

cs.HC2023★ 2 cited

The State of Algorithmic Fairness in Mobile Human-Computer Interaction

Sofia Yfantidou, Marios Constantinides, Dimitris Spathis +3

This paper explores the intersection of Artificial Intelligence and Machine Learning (AI/ML) fairness and mobile human-computer interaction (MobileHCI). Through a comprehensive ana…

cs.HC2023

RAI Guidelines: Method for Generating Responsible AI Guidelines Grounded in Regulations and Usable by (Non-)Technical Roles

Marios Constantinides, Edyta Bogucka, Daniele Quercia +2

Many guidelines for responsible AI have been suggested to help AI practitioners in the development of ethical and responsible AI systems. However, these guidelines are often neithe…

cs.HC2023★ 53 cited

WEIRD FAccTs: How Western, Educated, Industrialized, Rich, and Democratic is FAccT?

Ali Akbar Septiandri, Marios Constantinides, Mohammad Tahaei +1

Studies conducted on Western, Educated, Industrialized, Rich, and Democratic (WEIRD) samples are considered atypical of the world's population and may not accurately represent huma…

cs.CY2023★ 5 cited

(Un)fair devices: Moving beyond AI accuracy in personal sensing

Sofia Yfantidou, Marios Constantinides, Dimitris Spathis +3

Personal devices are omnipresent in our lives, seamlessly monitoring our activities, from smart rings tracking sleep patterns to smartwatches keeping an eye on missed heartbeats. T…

cs.HC2023★ 46 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…

cs.HC2023★ 6 cited

A Systematic Literature Review of Human-Centered, Ethical, and Responsible AI

Mohammad Tahaei, Marios Constantinides, Daniele Quercia +1

As Artificial Intelligence (AI) continues to advance rapidly, it becomes increasingly important to consider AI's ethical and societal implications. In this paper, we present a bott…

cs.HC2023★ 6 cited

Quantified Canine: Inferring Dog Personality From Wearables

Lakmal Meegahapola, Marios Constantinides, Zoran Radivojevic +3

Being able to assess dog personality can be used to, for example, match shelter dogs with future owners, and personalize dog activities. Such an assessment typically relies on expe…