Papers and online resources related to machine learning fairness

All about human-AI interaction (HCI + AI).

ProAgent: Building Proactive Cooperative Agents with Large Language Models

A list of research papers of explainable machine learning.

PyTorch implementation for "On the Critical Role of Conventions in Adaptive Human-AI Collaboration", ICLR 2021

This repository provides a summarization of recent empirical studies/human studies that measure human understanding with machine explanations in human-AI interactions.

[ICRA 2024] Official PyTorch Implementation of ''Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments''.

[VIS 2022] Intentable: A Mixed-Initiative System for Intent-Based Chart Captioning

RLHF-Blender: A Configurable Interactive Interface for Learning from Diverse Human Feedback

Human in the loop plan selection

[HCI Korea 2022] VANAS: A Visual Analytics System for Neural Architecture Search

What are People Talking about in #BackLivesMatter and #StopAsianHate? Exploring and Categorizing Twitter Topics Emerged in Online Social Movements through the Latent Dirichlet Allocation Model

The webpage for the Human-Centered AI Reading Group at the Mila Quebec AI Institute.

LecTutor is a mobile app prototype for automating the process of creating revision quizzes, based on lecture notes or slides. It was created in a group setting, as an assignment for the COMP3647 Human-AI Interaction Design module at Durham University in the academic year 2022/2023. The app was implemented based on the design by other group members.

Component for Collaborative Intelligence within the project AIREDGIO5.0

Agent-based model developed on the basis of the Regulatory Theory of Social Influence (RTSI) with two types of interacting agents: humans and AI entities.