Archivio Istituzionale della RicercaQUERCIA, DANIELE
QUERCIA, DANIELE
Dipartimento di Automatica e Informatica
039264
AI Design: A Responsible Artificial Intelligence Framework for Prefilling Impact Assessment Reports
2024 Bogucka, Edyta; Constantinides, Marios; Šćepanović, Sanja; Quercia, Daniele
Atlas of AI Risks: Enhancing Public Understanding of AI Risks
2024 Bogucka, Edyta; Šćepanović, Sanja; Quercia, Daniele
Characterizing Fake News Targeting Corporations
2024 Zhou, Ke; Šćepanović, Sanja; Quercia, Daniele
Co-designing an AI Impact Assessment Report Template with AI Practitioners and AI Compliance Experts
2024 Bogucka, Edyta; Constantinides, Marios; Šćepanović, Sanja; Quercia, Daniele
Decoding Real-World Artificial Intelligence Incidents
2024 De Miguel Velázquez, Julia; Šćepanović, Sanja; Gvirtz, Andrés; Quercia, Daniele
Exploratory Analysis of Recommending Urban Parks for Health-Promoting Activities
2024 Dietz, Linus W.; Šćepanović, Sanja; Zhou, Ke; Quercia, Daniele
ExploreGen: Large Language Models for Envisioning the Uses and Risks of AI Technologies
2024 Herdel, Viviane; Šćepanović, Sanja; Bogucka, Edyta; Quercia, Daniele
Good Intentions, Risky Inventions: A Method for Assessing the Risks and Benefits of AI in Mobile and Wearable Uses
2024 Constantinides, Marios; Bogucka, Edyta Paulina; Scepanovic, Sanja; Quercia, Daniele
Guidelines for Integrating Value Sensitive Design in Responsible AI Toolkits
2024 Sadek, Malak; Constantinides, Marios; Quercia, Daniele; Mougenot, Celine
Implications of Regulations on the Use of AI and Generative AI for Human-Centered Responsible Artificial Intelligence
2024 Constantinides, Marios; Tahaei, Mohammad; Quercia, Daniele; Stumpf, Simone; Madaio, Michael; Kennedy, Sean; Wilcox, Lauren; Vitak, Jessica; Cramer, Henriette; Bogucka, Edyta Paulina; Baeza-Yates, Ricardo; Luger, Ewa; Holbrook, Jess; Muller, Michael; Blumenfeld, Ilana Golbin; Pistilli, Giada
NLPGuard: A Framework for Mitigating the Use of Protected Attributes by NLP Classifiers
2024 Greco, Salvatore; Zhou, Ke; Capra, Licia; Cerquitelli, Tania; Quercia, Daniele
RAI Guidelines: Method for Generating Responsible AI Guidelines Grounded in Regulations and Usable by (Non-)Technical Roles
2024 Constantinides, Marios; Bogucka, Edyta; Quercia, Daniele; Kallio, Susanna; Tahaei, Mohammad
The Geography of U.S. Companies That Care About Their Employees
2024 Sen, Indira; Scepanovic, Sanja; Constantinides, Marios; Quercia, Daniele
The Impact of Responsible AI Research on Innovation and Development
2024 Septiandri, Ali Akbar; Constantinides, Marios; Quercia, Daniele
The potential impact of AI innovations on US occupations
2024 Septiandri, Ali Akbar; Constantinides, Marios; Quercia, Daniele
User Characteristics in Explainable AI: The Rabbit Hole of Personalization?
2024 Nimmo, Robert; Constantinides, Marios; Zhou, Ke; Quercia, Daniele; Stumpf, Simone
Using Self-supervised Learning Can Improve Model Fairness
2024 Yfantidou, Sofia; Spathis, Dimitris; Constantinides, Marios; Vakali, Athena; Quercia, Daniele; Kawsar, Fahim
Good Intentions, Bad Inventions: How Employees Judge Pervasive Technologies in the Workplace
2023 Constantinides, Marios; Quercia, Daniele
How Circadian Rhythms Extracted from Social Media Relate to Physical Activity and Sleep
2023 Zhou, Ke; Constantinides, Marios; Quercia, Daniele; Šćepanović, Sanja
Human-Centered Responsible Artificial Intelligence: Current & Future Trends
2023 Tahaei, Mohammad; Constantinides, Marios; Quercia, Daniele; Kennedy, Sean; Muller, Michael; Stumpf, Simone; Liao, Q. Vera; Baeza-Yates, Ricardo; Aroyo, Lora; Holbrook, Jess; Luger, Ewa; Madaio, Michael; Blumenfeld, Ilana Golbin; De-Arteaga, Maria; Vitak, Jessica; Olteanu, Alexandra
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| AI Design: A Responsible Artificial Intelligence Framework for Prefilling Impact Assessment Reports / Bogucka, Edyta; Constantinides, Marios; Šćepanović, Sanja; Quercia, Daniele. - In: IEEE INTERNET COMPUTING. - ISSN 1089-7801. - 28:5(2024), pp. 37-45. [10.1109/mic.2024.3451351] | 1-gen-2024 | Quercia, Daniele + | AIdesign24-2.pdf; AI_Design_A_Responsible_Artificial_Intelligence_Framework_for_Prefilling_Impact_Assessment_Reports.pdf |
| Atlas of AI Risks: Enhancing Public Understanding of AI Risks / Bogucka, Edyta; Šćepanović, Sanja; Quercia, Daniele. - 12:(2024), pp. 33-43. (Intervento presentato al convegno 12th AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2024 tenutosi a Pittsburgh, Pennsylvania (USA) nel October 16–19, 2024) [10.1609/hcomp.v12i1.31598]. | 1-gen-2024 | Quercia, Daniele + | atlas-ai-risks24-4__.pdf; 31598-Article Text-35661-1-2-20241013.pdf |
| Characterizing Fake News Targeting Corporations / Zhou, Ke; Šćepanović, Sanja; Quercia, Daniele. - 18:(2024), pp. 1818-1832. (Intervento presentato al convegno Eighteenth International AAAI Conference on Web and Social Media (ICWSM 2024) tenutosi a Buffalo (USA) nel June 3-6 2024) [10.1609/icwsm.v18i1.31428]. | 1-gen-2024 | Quercia, Daniele + | characterizing24_icwsm-2.pdf; 31428-Article Text-35484-1-2-20240528.pdf |
| Co-designing an AI Impact Assessment Report Template with AI Practitioners and AI Compliance Experts / Bogucka, Edyta; Constantinides, Marios; Šćepanović, Sanja; Quercia, Daniele. - 7:(2024), pp. 168-180. (Intervento presentato al convegno Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) tenutosi a San Jose, California (USA) nel October 21–23, 2024) [10.1609/aies.v7i1.31627]. | 1-gen-2024 | Quercia, Daniele + | codesigning24-6__.pdf; 31627-Article Text-35691-1-2-20241016.pdf |
| Decoding Real-World Artificial Intelligence Incidents / De Miguel Velázquez, Julia; Šćepanović, Sanja; Gvirtz, Andrés; Quercia, Daniele. - In: COMPUTER. - ISSN 0018-9162. - 57:11(2024), pp. 71-81. [10.1109/mc.2024.3432492] | 1-gen-2024 | Quercia, Daniele + | decoding24_ieee.pdf; Decoding_Real-World_Artificial_Intelligence_Incidents.pdf |
| Exploratory Analysis of Recommending Urban Parks for Health-Promoting Activities / Dietz, Linus W.; Šćepanović, Sanja; Zhou, Ke; Quercia, Daniele. - (2024), pp. 1131-1135. (Intervento presentato al convegno RecSys '24: 18th ACM Conference on Recommender Systems tenutosi a Bari (ITA) nel October 14 - 18, 2024) [10.1145/3640457.3691712]. | 1-gen-2024 | Quercia, Daniele + | exploratory24-2.pdf; 3640457.3691712.pdf |
| ExploreGen: Large Language Models for Envisioning the Uses and Risks of AI Technologies / Herdel, Viviane; Šćepanović, Sanja; Bogucka, Edyta; Quercia, Daniele. - 7:(2024), pp. 584-596. (Intervento presentato al convegno Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) tenutosi a San José, CA (USA) nel October 21–23, 2024) [10.1609/aies.v7i1.31660]. | 1-gen-2024 | Quercia, Daniele + | exploregen24-5.pdf; 31660-Article Text-35724-1-2-20241016.pdf |
| Good Intentions, Risky Inventions: A Method for Assessing the Risks and Benefits of AI in Mobile and Wearable Uses / Constantinides, Marios; Bogucka, Edyta Paulina; Scepanovic, Sanja; Quercia, Daniele. - In: PROCEEDINGS OF THE ACM ON HUMAN-COMPUTER INTERACTION. - ISSN 2573-0142. - 8:MHCI(2024), pp. 1-28. [10.1145/3676507] | 1-gen-2024 | Quercia, Daniele + | goodintentions24_mobileHCI.pdf; 3676507.pdf |
| Guidelines for Integrating Value Sensitive Design in Responsible AI Toolkits / Sadek, Malak; Constantinides, Marios; Quercia, Daniele; Mougenot, Celine. - (2024), pp. 1-20. (Intervento presentato al convegno 2024 CHI Conference on Human Factors in Computing Sytems tenutosi a Honolulu HI (USA) nel May 11 - 16, 2024) [10.1145/3613904.3642810]. | 1-gen-2024 | Quercia, Daniele + | 3613904.3642810.pdf |
| Implications of Regulations on the Use of AI and Generative AI for Human-Centered Responsible Artificial Intelligence / Constantinides, Marios; Tahaei, Mohammad; Quercia, Daniele; Stumpf, Simone; Madaio, Michael; Kennedy, Sean; Wilcox, Lauren; Vitak, Jessica; Cramer, Henriette; Bogucka, Edyta Paulina; Baeza-Yates, Ricardo; Luger, Ewa; Holbrook, Jess; Muller, Michael; Blumenfeld, Ilana Golbin; Pistilli, Giada. - (2024), pp. 1-4. (Intervento presentato al convegno CHI '24: CHI Conference on Human Factors in Computing Systems tenutosi a Honolulu HI (USA) nel May 11 - 16, 2024) [10.1145/3613905.3643979]. | 1-gen-2024 | Quercia, Daniele + | implications24_chi-2.pdf; 3613905.3643979.pdf |
| NLPGuard: A Framework for Mitigating the Use of Protected Attributes by NLP Classifiers / Greco, Salvatore; Zhou, Ke; Capra, Licia; Cerquitelli, Tania; Quercia, Daniele. - In: PROCEEDINGS OF THE ACM ON HUMAN-COMPUTER INTERACTION. - ISSN 2573-0142. - 8:(2024), pp. 1-25. (Intervento presentato al convegno 27th ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW) 2024 tenutosi a San José (CRI) nel November 9-13, 2024) [10.1145/3686924]. | 1-gen-2024 | Greco, SalvatoreCerquitelli, TaniaQuercia, Daniele + | NLPGuard- A Framework for Mitigating the Use of Protected Attributes by NLP Classifiers.pdf; 2407.01697v1.pdf |
| RAI Guidelines: Method for Generating Responsible AI Guidelines Grounded in Regulations and Usable by (Non-)Technical Roles / Constantinides, Marios; Bogucka, Edyta; Quercia, Daniele; Kallio, Susanna; Tahaei, Mohammad. - In: PROCEEDINGS OF THE ACM ON HUMAN-COMPUTER INTERACTION. - ISSN 2573-0142. - 8:CSCW2(2024), pp. 1-28. [10.1145/3686927] | 1-gen-2024 | Quercia, Daniele + | 2307.15158v2-3.pdf; 3686927.pdf |
| The Geography of U.S. Companies That Care About Their Employees / Sen, Indira; Scepanovic, Sanja; Constantinides, Marios; Quercia, Daniele. - (2024), pp. 1-9. (Intervento presentato al convegno CHIWORK 2024: 3rd Annual Meeting of the Symposium on Human-Computer Interaction for Work tenutosi a Newcastle upon Tyne (UK) nel June 25 - 27, 2024) [10.1145/3663384.3663405]. | 1-gen-2024 | Quercia, Daniele + | 3663384.3663405.pdf |
| The Impact of Responsible AI Research on Innovation and Development / Septiandri, Ali Akbar; Constantinides, Marios; Quercia, Daniele. - 7:(2024), pp. 1329-1342. (Intervento presentato al convegno Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) tenutosi a San Jose, California (USA) nel October 21-23, 2024.) [10.1609/aies.v7i1.31727]. | 1-gen-2024 | Quercia, Daniele + | impact24-3.pdf; 31727-Article Text-35791-1-2-20241016.pdf |
| The potential impact of AI innovations on US occupations / Septiandri, Ali Akbar; Constantinides, Marios; Quercia, Daniele. - In: PNAS NEXUS. - ISSN 2752-6542. - 3:9(2024). [10.1093/pnasnexus/pgae320] | 1-gen-2024 | Quercia, Daniele + | pgae320.pdf |
| User Characteristics in Explainable AI: The Rabbit Hole of Personalization? / Nimmo, Robert; Constantinides, Marios; Zhou, Ke; Quercia, Daniele; Stumpf, Simone. - (2024), pp. 1-13. (Intervento presentato al convegno CHI '24: CHI Conference on Human Factors in Computing Systems tenutosi a Honolulu HI (USA) nel 2024) [10.1145/3613904.3642352]. | 1-gen-2024 | Quercia, Daniele + | user24_chi.pdf; 3613904.3642352.pdf |
| Using Self-supervised Learning Can Improve Model Fairness / Yfantidou, Sofia; Spathis, Dimitris; Constantinides, Marios; Vakali, Athena; Quercia, Daniele; Kawsar, Fahim. - (2024), pp. 3942-3953. (Intervento presentato al convegno KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining tenutosi a Barcelona (ESP) nel August 25 - 29, 2024) [10.1145/3637528.3671991]. | 1-gen-2024 | Quercia, Daniele + | 3637528.3671991.pdf |
| Good Intentions, Bad Inventions: How Employees Judge Pervasive Technologies in the Workplace / Constantinides, Marios; Quercia, Daniele. - In: IEEE PERVASIVE COMPUTING. - ISSN 1536-1268. - 22:1(2023), pp. 69-76. [10.1109/mprv.2022.3217408] | 1-gen-2023 | Quercia, Daniele + | good_22.pdf; Good_Intentions_Bad_Inventions_How_Employees_Judge_Pervasive_Technologies_in_the_Workplace.pdf |
| How Circadian Rhythms Extracted from Social Media Relate to Physical Activity and Sleep / Zhou, Ke; Constantinides, Marios; Quercia, Daniele; Šćepanović, Sanja. - 17:(2023), pp. 948-959. (Intervento presentato al convegno Seventeenth International AAAI Conference on Web and Social Media tenutosi a Limassol, Cyprus nel June 5–8, 2023) [10.1609/icwsm.v17i1.22202]. | 1-gen-2023 | Quercia, Daniele + | circadian_23-2.pdf |
| Human-Centered Responsible Artificial Intelligence: Current & Future Trends / Tahaei, Mohammad; Constantinides, Marios; Quercia, Daniele; Kennedy, Sean; Muller, Michael; Stumpf, Simone; Liao, Q. Vera; Baeza-Yates, Ricardo; Aroyo, Lora; Holbrook, Jess; Luger, Ewa; Madaio, Michael; Blumenfeld, Ilana Golbin; De-Arteaga, Maria; Vitak, Jessica; Olteanu, Alexandra. - (2023), pp. 1-4. (Intervento presentato al convegno 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 tenutosi a Hamburg (DEU) nel April 23 - 28, 2023) [10.1145/3544549.3583178]. | 1-gen-2023 | Quercia, Daniele + | human_23-2.pdf |