most citedU Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2025

Human Response to Decision Support in Face Matching: The Influence of Task Difficulty and Machine Accuracy

Marina Estévez-Almenzar, Ricardo Baeza-Yates, Carlos Castillo

Decision support systems enhanced by Artificial Intelligence (AI) are increasingly being used in high-stakes scenarios where errors or biased outcomes can have significant conseque…

cs.HC2025

A Comparison of Human and Machine Learning Errors in Face Recognition

Marina Estévez-Almenzar, Ricardo Baeza-Yates, Carlos Castillo

Machine learning applications in high-stakes scenarios should always operate under human oversight. Developing an optimal combination of human and machine intelligence requires an…

cs.CY2024★ 3 cited

U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI

Tanja Šarčević, Alicja Karlowicz, Rudolf Mayer +2

Large Generative AI (GAI) models have the unparalleled ability to generate text, images, audio, and other forms of media that are increasingly indistinguishable from human-generate…

cs.LG2024

A Principled Approach for Data Bias Mitigation

Bruno Scarone, Alfredo Viola, Renée J. Miller +1

The widespread use of machine learning and data-driven algorithms for decision making has been steadily increasing over many years. \emph{Bias} in the data can adversely affect thi…

cs.HC2024★ 1 cited

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…