53 citations · 227 across the 37 of their papers we have counts for
39 papers
"If You're Very Clever, No One Knows You've Used It": The Social Dynamics of Developing Generative AI Literacy in the Workplace
Qing Nancy Xia, Marios Constantinides, Advait Sarkar +2
Generative AI (GenAI) tools are rapidly transforming knowledge work, making AI literacy a critical priority for organizations. However, research on AI literacy lacks empirical insi…
Impact Assessment Card: Communicating Risks and Benefits of AI Uses
Edyta Bogucka, Marios Constantinides, Sanja Šćepanović +1
Communicating the risks and benefits of AI is important for regulation and public understanding. Yet current methods such as technical reports often exclude people without technica…
Should LLMs be WEIRD? Exploring WEIRDness and Human Rights in Large Language Models
Ke Zhou, Marios Constantinides, Daniele Quercia
Large language models (LLMs) are often trained on data that reflect WEIRD values: Western, Educated, Industrialized, Rich, and Democratic. This raises concerns about cultural bias…
The Potential Impact of Disruptive AI Innovations on U.S. Occupations
Munjung Kim, Marios Constantinides, Sanja Šćepanović +2
The rapid rise of AI is poised to disrupt the labor market. However, AI is not a monolith; its impact depends on both the nature of the innovation and the jobs it affects. While co…
The Experience of Running: Recommending Routes Using Sensory Mapping in Urban Environments
Katrin Hänsel, Luca Maria Aiello, Daniele Quercia +4
Depending on the route, runners may experience frustration, freedom, or fulfilment. However, finding routes that are conducive to the psychological experience of running remains an…
The Future of Work is Blended, Not Hybrid
Marios Constantinides, Himanshu Verma, Shadan Sadeghian +1
The way we work is no longer hybrid -- it is blended with AI co-workers, automated decisions, and virtual presence reshaping human roles, agency, and expertise. We now work through…
The Hall of AI Fears and Hopes: Comparing the Views of AI Influencers and those of Members of the U.S. Public Through an Interactive Platform
Gustavo Moreira, Edyta Paulina Bogucka, Marios Constantinides +1
AI development is shaped by academics and industry leaders - let us call them ``influencers'' - but it is unclear how their views align with those of the public. To address this ga…
AI, Jobs, and the Automation Trap: Where Is HCI?
Marios Constantinides, Daniele Quercia
As artificial intelligence (AI) continues to reshape the workforce, its current trajectory raises pressing questions about its ultimate purpose. Why does job automation dominate th…
The Impact of Responsible AI Research on Innovation and Development
Ali Akbar Septiandri, Marios Constantinides, Daniele Quercia
Translational research, especially in the fast-evolving field of Artificial Intelligence (AI), is key to converting scientific findings into practical innovations. In Responsible A…
Co-designing an AI Impact Assessment Report Template with AI Practitioners and AI Compliance Experts
Edyta Bogucka, Marios Constantinides, Sanja Šćepanović +1
In the evolving landscape of AI regulation, it is crucial for companies to conduct impact assessments and document their compliance through comprehensive reports. However, current…
Good Intentions, Risky Inventions: A Method for Assessing the Risks and Benefits of AI in Mobile and Wearable Uses
Marios Constantinides, Edyta Bogucka, Sanja Scepanovic +1
Integrating Artificial Intelligence (AI) into mobile and wearables offers numerous benefits at individual, societal, and environmental levels. Yet, it also spotlights concerns over…
The Atlas of AI Incidents in Mobile Computing: Visualizing the Risks and Benefits of AI Gone Mobile
Edyta Bogucka, Marios Constantinides, Julia De Miguel Velazquez +3
Today's visualization tools for conveying the risks and benefits of AI technologies are largely tailored for those with technical expertise. To bridge this gap, we have developed a…
WEIRD ICWSM: How Western, Educated, Industrialized, Rich, and Democratic is Social Computing Research?
Ali Akbar Septiandri, Marios Constantinides, Daniele Quercia
Much of the research in social computing analyzes data from social media platforms, which may inherently carry biases. An overlooked source of such bias is the over-representation…
Using Self-supervised Learning Can Improve Model Fairness
Sofia Yfantidou, Dimitris Spathis, Marios Constantinides +3
Self-supervised learning (SSL) has become the de facto training paradigm of large models, where pre-training is followed by supervised fine-tuning using domain-specific data and la…
Implications of Regulations on the Use of AI and Generative AI for Human-Centered Responsible Artificial Intelligence
Marios Constantinides, Mohammad Tahaei, Daniele Quercia +13
With the upcoming AI regulations (e.g., EU AI Act) and rapid advancements in generative AI, new challenges emerge in the area of Human-Centered Responsible Artificial Intelligence…
Guidelines for Integrating Value Sensitive Design in Responsible AI Toolkits
Malak Sadek, Marios Constantinides, Daniele Quercia +1
Value Sensitive Design (VSD) is a framework for integrating human values throughout the technology design process. In parallel, Responsible AI (RAI) advocates for the development o…
User Characteristics in Explainable AI: The Rabbit Hole of Personalization?
Robert Nimmo, Marios Constantinides, Ke Zhou +2
As Artificial Intelligence (AI) becomes ubiquitous, the need for Explainable AI (XAI) has become critical for transparency and trust among users. A significant challenge in XAI is…
Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data
Sofia Yfantidou, Dimitris Spathis, Marios Constantinides +3
Self-supervised learning (SSL) has become the de facto training paradigm of large models where pre-training is followed by supervised fine-tuning using domain-specific data and lab…
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…
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…
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…
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…
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…
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…