53 citations · 227 across the 37 of their papers we have counts for
10 papers · 1 filter
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…