Gourab K. Patro

According to our database, Gourab K. Patro authored at least 22 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Responsible AI for General-Purpose Systems: Overview, Challenges, and A Path Forward.

Gourab K. Patro, Himanshi Agrawal, Himanshu Gharat, Supriya Panigrahi, Nim Sherpa, Vishal Vaddina, Dagnachew Birru

CoRR, January, 2026

From Personalization to Prejudice: Bias and Discrimination in Memory-Enhanced AI Agents for Recruitment.

Himanshu Gharat, Himanshi Agrawal, Gourab K. Patro

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

APLE: A Framework for Adaptable and Personalized Live Explainability for Recommender Systems.

Gourab K. Patro, Srimoyee Mukhopadhyay, Arsh Banerjee, Daniel Abreu, Kevin Perkins, Siddharth Kotwal, Vijay Nagaraj Sivakumaran, Aram Bidzyan, Diganta Nayak

Proceedings of the 18th ACM Web Science Conference 2026, 2026

2024

TIGQA:An Expert Annotated Question Answering Dataset in Tigrinya.

Hailay Kidu Teklehaymanot, Dren Fazlija, Niloy Ganguly, Gourab K. Patro, Wolfgang Nejdl

CoRR, 2024

TIGQA: An Expert-Annotated Question-Answering Dataset in Tigrinya.

Hailay Kidu Teklehaymanot, Dren Fazlija, Niloy Ganguly, Gourab Kumar Patro, Wolfgang Nejdl

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

A Review of the Role of Causality in Developing Trustworthy AI Systems.

Niloy Ganguly, Dren Fazlija, Maryam Badar, Marco Fisichella, Sandipan Sikdar, Johanna Schrader, Jonas Wallat, Koustav Rudra, Manolis Koubarakis, Gourab K. Patro, Wadhah Zai El Amri, Wolfgang Nejdl

CoRR, 2023

2022

Toward Fair Recommendation in Two-sided Platforms.

Arpita Biswas, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty

ACM Trans. Web, 2022

Fairness implications of encoding protected categorical attributes.

Carlos Mougan, José M. Álvarez, Gourab K. Patro, Salvatore Ruggieri, Steffen Staab

CoRR, 2022

Towards Fair Recommendation in Two-Sided Platforms.

Arpita Biswas, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty

CoRR, 2022

Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction.

Gourab K. Patro, Prithwish Jana, Abhijnan Chakraborty, Krishna P. Gummadi, Niloy Ganguly

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Fair ranking: a critical review, challenges, and future directions.

Gourab K. Patro, Lorenzo Porcaro, Laura Mitchell, Qiuyue Zhang, Meike Zehlike, Nikhil Garg

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation.

Alejandra Bringas Colmenarejo, Luca Nannini, Alisa Rieger, Kristen M. Scott, Xuan Zhao, Gourab K. Patro, Gjergji Kasneci, Katharina Kinder-Kurlanda

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021

Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness.

Jessie Finocchiaro, Roland Maio, Faidra Monachou, Gourab K. Patro, Manish Raghavan, Ana-Andreea Stoica, Stratis Tsirtsis

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Two-Sided Fairness in Non-Personalised Recommendations (Student Abstract).

Aadi Swadipto Mondal, Rakesh Bal, Sayan Sinha, Gourab K. Patro

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Two-Sided Fairness in Non-Personalised Recommendations.

Aadi Swadipto Mondal, Rakesh Bal, Sayan Sinha, Gourab K. Patro

CoRR, 2020

On Fair Virtual Conference Scheduling: Achieving Equitable Participant and Speaker Satisfaction.

Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi

CoRR, 2020

FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms.

Gourab K. Patro, Arpita Biswas, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Towards Safety and Sustainability: Designing Local Recommendations for Post-pandemic World.

Gourab K. Patro, Abhijnan Chakraborty, Ashmi Banerjee, Niloy Ganguly

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval.

Ashmi Banerjee, Gourab K. Patro, Linus W. Dietz, Abhijnan Chakraborty

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Fair Updates in Two-Sided Market Platforms: On Incrementally Updating Recommendations.

Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Incremental Fairness in Two-Sided Market Platforms: On Updating Recommendations Fairly.

Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi

CoRR, 2019

Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations.

Abhijnan Chakraborty, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Patrick Loiseau

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019