Piera Riccio

PhD Student

piera.en.md photo

Piera Riccio is an ELLIS PhD student. She holds a bachelor’s degree in Cinema and Media Engineering (2018, Politecnico di Torino), a Master’s degree in ICT for Smart Societies (2021, Politecnico di Torino), and a Master’s degree in Data Science and Engineering (2021, Télécom Paris – EURECOM). In 2020, she was an affiliate at Metalab (at) Harvard. In 2021, she was a research assistant at the Oslo Metropolitan University. In her research, she is interested in exploring the cultural, social, and artistic possibilities of AI. In her PhD, she focuses on the effect that social media have on the lives of women and the way they are perceived in the social media cultural ecosystem. Her supervisors are Nuria Oliver (ELLIS Alicante), Thomas Hofmann (ETH Zurich) and Francisco Escolano (Universidad de Alicante).

Link to ORCID profile: ORCID iD icon https://orcid.org/0000-0001-8602-8271

Publications in association with ELLIS Alicante

2024

Riccio, P., Hofmann, T., & Oliver, N. (2024). Exposed or Erased: Algorithmic Censorship of Nudity in Art. CHI 2024 - Proceedings of the CHI Conference on Human Factors in Computing Systems .
Riccio, P., Colin, J., Ogolla, S., & Oliver, N. (2024). Mirror, Mirror on the wall, who is the whitest of all? Racial biases in social media beauty filters. Social Media and Society .

2023

Riccio, P., & Oliver, N. (2023). Racial Bias in the Beautyverse: Evaluation of Augmented-Reality Beauty Filters. European Conference on Computer Vision 2022 , 13803, 714-721.

2022

Riccio, P., Psomas, B., Galati, F., Escolano, F., Hofmann, T., & Oliver, N. (2022). OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters. 36th Conference on Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track .
Riccio, P., Oliver, J. L., Escolano, F., & Oliver, N. (2022). Algorithmic Censorship of Art: A Proposed Research Agenda. 13th International Conference on Computational Creativity .
Riccio, P., Galati, F., Zuluaga, M. A., De Martin, J. C., & Nichele, S. (2022). Translating Emotions from EEG to Visual Arts. International Conference on Computational Intelligence in Music, Sound, Art and Design (Part of EvoStar) 243-258.

2021

Riccio, P., Bergaust, K., Christensen-Scheel, B., De Martin, J. C., Zuluaga, M. A., & Nichele, S. (2021). AI-based artistic representation of emotions from EEG signals: a discussion on fairness, inclusion, and aesthetics. Politics of the Machines .