Abhijnan Chakraborty "Abhi" has made a name of himself in the field of fairness and social equity. Always a pleasure to listen to him.

Happy to share that our work titled "Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers" has been accepted at The Web Conference (Web4Good track). Joint work with Animesh Mukherjee, Abhijnan Chakraborty "Abhi", Saptarshi Ghosh and Krishna Gummadi.

Paper accepted in The Web Conference 2022 (www2022.thewebconf.org): Title - Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction Authors - Gourab Kumar Patro , Prithwish Jana, Abhijnan Chakraborty "Abhi" , Krishna Gummadi , N Ganguly

Releasing our new paper "Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers" (The WebConf 2022). Abhijnan Chakraborty "Abhi" @AbhisekFair Krishna Gummadi Saptarshi Ghosh Paper: arxiv.org/abs/2202.03934

The work done by Abhijnan Chakraborty "Abhi" Krishna Gummadi N Ganguly and others on computational journalism some years back shows how online media became more vulnerable to fake news. N Ganguly highlighted that background in his talk.

Happy to share that our paper "Towards Fair Allocation in Social Commerce Platforms" is accepted in The Web Conference This is a fantastic outcome of IIT Delhi and Flipkart collaboration. Thanks to all my collaborators from IIT Delhi and the technical team at Shopsy #WWW2023

Given its scale, Bing chat will probably soon be responsible for more instances of defamation than all the humans on earth. It's making stuff up, not just serving existing content. I hope that means Microsoft can be held legally liable? Read the whole thread—truly unhinged.

As ChatGPT and other LLMs become better and better at *answering questions,* the important complementary human skill becomes: Asking questions. As I tell my students... Asking really good questions is an art form that is becoming even more important in the Age of AI.

Happy to share that our short paper on "Fairness for both Readers and Authors: Evaluating Summaries of User Generated Content" has been accepted in SIGIR 2025 #ResponsibleAI #FairSummarization #SIGIR2023

Happy to share that our paper "FairAssign: Stochastically Fair Driver Assignment in Gig Delivery Platforms" has been accepted in ACM FAccT. We interviewed delivery workers in Indian cities and incorporated their feedback in algorithm design! #FAccT2023 #ResponsibleAI

Preprint of the paper is now available at cse.iitd.ac.in/~abhijnan/pape…

Today we’re releasing Dolly 2.0, a 12B parameter instruction-following LLM trained exclusively on a free and open dataset generated by Databricks employees and *licensed for commercial use.* 🐑🚀 huggingface.co/databricks/dol…

With the Dolly 2.0 release yesterday we heard a lot of people saying they wanted smaller models that can fit on consumer grade GPU’s. Here you go! Checkpoints from 2.8B and 6.9B now on the Databricks Hugging Face page! 🐑🚀 huggingface.co/databricks/dol…

It was great to talk to Shinjini Ghosh from TOI Delhi about the use of AI in socially important domains.

A bit late to share that our paper "#LetsTalk: Understanding Social Media Usage of Self-Harm Users in India" will appear in #ICWSM2024, a flagship conference on social media research. Congratulations to Garima Chhikara! A tremendous effort for more than a year paid off! ICWSM

Very happy to report that our paper "Towards Fairness in Online Service with k Servers and its Applications in Fair Food Delivery" will appear in #AAAI2024. Congratulations to Daman Deep Singh! We introduce a novel extension of online k-server problem: k-Food. AAAI

I am very excited to share that our work titled "Investigating Nudges toward Related Sellers on E-commerce Marketplaces: A Case Study on Amazon" has been accepted at ACM CSCW 2024. Joint work with Animesh Mukherjee Abhijnan Chakraborty "Abhi" Krishna Gummadi and Saptarshi Ghosh.

Meet the Data Challenge and Diversity & Inclusion Track Co-chairs for #CODSCOMAD_Dec24 conference. Kuldeep Yadav Aastha Nigam Abhijnan Chakraborty "Abhi" Alpana Dubey cods-comad.in

Thrilled to have presented our paper "What News Do People Get on Social Media? Analyzing Exposure and Consumption of News through Data Donations" at the Association for Computing Machinery The Web Conference 2024. This is join work with Abhijnan Chakraborty "Abhi", Oana Goga, and Savvas Zannettou