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Publication search results
found 94 matches
- 2024
- Marios Constantinides
, Edyta Paulina Bogucka
, Sanja Scepanovic
, Daniele Quercia
:
Good Intentions, Risky Inventions: A Method for Assessing the Risks and Benefits of AI in Mobile and Wearable Uses. Proc. ACM Hum. Comput. Interact. 8(MHCI): 1-28 (2024) - Marios Constantinides
, Edyta Paulina Bogucka, Daniele Quercia
, Susanna Kallio
, Mohammad Tahaei
:
RAI Guidelines: Method for Generating Responsible AI Guidelines Grounded in Regulations and Usable by (Non-)Technical Roles. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-28 (2024) - Sarbottam Bhagat, Mohsen M. Jozani, Jason A. Williams, Ahmed Aleroud:
AI Vs Human: Evaluating AI's Proficiency in Detecting and Responding to Informational and Emotional Health Queries. AMCIS 2024 - Robert Nimmo
, Marios Constantinides
, Ke Zhou
, Daniele Quercia
, Simone Stumpf
:
User Characteristics in Explainable AI: The Rabbit Hole of Personalization? CHI 2024: 317:1-317:13 - Malak Sadek
, Marios Constantinides
, Daniele Quercia
, Céline Mougenot:
Guidelines for Integrating Value Sensitive Design in Responsible AI Toolkits. CHI 2024: 472:1-472:20 - Nadjet Bouayad-Agha, Ignasi Gómez-Sebastià, Alba Padró-Arocas, Enric Roura, David Castelló, Rocío Tovar:
Assisting Breastfeeding and Maternity Experts in Responding to User Queries with an AI-in-the-loop Approach. EMNLP (Industry Track) 2024: 829-841 - Chinenye Tassie, Brian Kim, Joshua Groen, Mauro Belgiovine, Kaushik R. Chowdhury:
Leveraging Explainable AI for Reducing Queries of Performance Indicators in Open RAN. ICC 2024: 5413-5418 - Edyta Paulina Bogucka
, Marios Constantinides
, Julia De Miguel Velazquez
, Sanja Scepanovic
, Daniele Quercia
, Andrés Gvirtz
:
The Atlas of AI Incidents in Mobile Computing: Visualizing the Risks and Benefits of AI Gone Mobile. MobileHCI (Companion) 2024: 26:1-26:6 - Robert Nimmo, Marios Constantinides, Ke Zhou, Daniele Quercia, Simone Stumpf:
User Characteristics in Explainable AI: The Rabbit Hole of Personalization? CoRR abs/2403.00137 (2024) - Malak Sadek, Marios Constantinides, Daniele Quercia, Céline Mougenot:
Guidelines for Integrating Value Sensitive Design in Responsible AI Toolkits. CoRR abs/2403.00145 (2024) - Hwiyeol Jo, Taiwoo Park, Nayoung Choi, Changbong Kim, Ohjoon Kwon, Donghyeon Jeon, Hyunwoo Lee, Eui-Hyeon Lee, Kyoungho Shin, Sun Suk Lim, Kyungmi Kim, Jihye Lee, Sun Kim:
Taxonomy and Analysis of Sensitive User Queries in Generative AI Search. CoRR abs/2404.08672 (2024) - Dzung Pham, Jade Sheffey, Chau Minh Pham, Amir Houmansadr:
ProxyGPT: Enabling Anonymous Queries in AI Chatbots with (Un)Trustworthy Browser Proxies. CoRR abs/2407.08792 (2024) - Marios Constantinides, Edyta Paulina Bogucka, Sanja Scepanovic, Daniele Quercia:
Good Intentions, Risky Inventions: A Method for Assessing the Risks and Benefits of AI in Mobile and Wearable Uses. CoRR abs/2407.09322 (2024) - Edyta Paulina Bogucka, Marios Constantinides, Julia De Miguel Velazquez, Sanja Scepanovic, Daniele Quercia, Andrés Gvirtz:
The Atlas of AI Incidents in Mobile Computing: Visualizing the Risks and Benefits of AI Gone Mobile. CoRR abs/2407.15685 (2024) - Grace Leonora Turtle, Roy Bendor, Elisa Giaccardi, Blazej Kotowski:
Queering AI: Undoing the Self in the Algorithmic Borderlands. CoRR abs/2410.03713 (2024) - Fatiha Ait Kbir, Jérémy Bourgoin, Rémy Decoupes, Marie Gradeler, Roberto Interdonato:
Adaptations of AI models for querying the LandMatrix database in natural language. CoRR abs/2412.12961 (2024) - 2023
- Sahar Salimpour, Paola Torrico Morón, Xianjia Yu, Tomi Westerlund, Jorge Peña Queralta:
Exploiting redundancy for UWB anomaly detection in infrastructure-free multi-robot relative localization. Frontiers Robotics AI 10 (2023) - Mario A. Leiva:
Efficient and Effective Approximate Query Answering in Probabilistic DeLP (Thesis Summary). AI³@AI*IA 2023 - Organizers Of QueerInAI
, Anaelia Ovalle
, Arjun Subramonian
, Ashwin Singh
, Claas Voelcker
, Danica J. Sutherland
, Davide Locatelli
, Eva Breznik
, Filip Klubicka
, Hang Yuan
, Hetvi Jethwani
, Huan Zhang
, Jaidev Shriram
, Kruno Lehman
, Luca Soldaini
, Maarten Sap
, Marc Peter Deisenroth
, Maria Leonor Pacheco
, Maria Ryskina
, Martin Mundt
, Milind Agarwal
, Nyx McLean
, Pan Xu
, Pranav A
, Raj Korpan
, Ruchira Ray
, Sarah Mathew
, Sarthak Arora
, St John
, Tanvi Anand
, Vishakha Agrawal
, William Agnew
, Yanan Long
, Zijie J. Wang
, Zeerak Talat
, Avijit Ghosh
, Nathaniel Dennler
, Michael Noseworthy
, Sharvani Jha
, Emi Baylor
, Aditya Joshi
, Natalia Y. Bilenko
, Andrew McNamara
, Raphael Gontijo Lopes
, Alex Markham
, Evyn Dong
, Jackie Kay
, Manu Saraswat
, Nikhil Vytla
, Luke Stark
:
Queer In AI: A Case Study in Community-Led Participatory AI. FAccT 2023: 1882-1895 - Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli
, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, Pranav A, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham
, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark:
Queer In AI: A Case Study in Community-Led Participatory AI. CoRR abs/2303.16972 (2023) - Aine Fairbrother-Browne, Sonia García-Ruíz, Regina H. Reynolds, Mina Ryten, Alan Hodgkinson:
ensemblQueryR: fast, flexible and high-throughput querying of Ensembl LD API endpoints in R. CoRR abs/2308.06792 (2023) - 2022
- Hetvi Jethwani, Arjun Subramonian, William Agnew, MaryLena Bleile, Sarthak Arora, Maria Ryskina, Jeffrey Xiong:
Queer in AI. XRDS 28(4): 18-21 (2022) - Jie Hao, Yang Liu, Xing Fan, Saurabh Gupta, Saleh Soltan, Rakesh Chada, Pradeep Natarajan, Chenlei Guo, Gökhan Tür:
CGF: Constrained Generation Framework for Query Rewriting in Conversational AI. EMNLP (Industry Track) 2022: 475-483 - Gavin Abercrombie, Verena Rieser
:
Risk-graded Safety for Handling Medical Queries in Conversational AI. AACL/IJCNLP (2) 2022: 234-243 - Aroof Aimen
, Bharat Ladrecha, Narayanan C. Krishnan
:
Adversarial Projections to Tackle Support-Query Shifts in Few-Shot Meta-Learning. ECML/PKDD (3) 2022: 615-630 - Gavin Abercrombie, Verena Rieser:
Risk-graded Safety for Handling Medical Queries in Conversational AI. CoRR abs/2210.00572 (2022) - 2021
- Karlis Cerans, Julija Ovcinnikova, Mikus Grasmanis, Lelde Lace, Aiga Romane:
Visual Presentation of SPARQL Queries in ViziQuer. VOILA@ISWC 2021: 29-40 - (Withdrawn) Rebuilding Trust: Queer in AI Approach to Artificial Intelligence Risk Management. CoRR abs/2110.09271 (2021)
- 2020
- Marco Fiore, Panagiota Katsikouli, Elli Zavou, Mathieu Cunche, Françoise Fessant, Dominique Le Hello, Ulrich Matchi Aïvodji, Baptiste Olivier, Tony Quertier, Razvan Stanica:
Privacy in trajectory micro-data publishing: a survey. Trans. Data Priv. 13(2): 91-149 (2020) - Matthaios Olma
, Manos Karpathiotakis, Ioannis Alagiannis, Manos Athanassoulis
, Anastasia Ailamaki:
Adaptive partitioning and indexing for in situ query processing. VLDB J. 29(1): 569-591 (2020)
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