Papers and online resources related to machine learning fairness

ProAgent: Building Proactive Cooperative Agents with Large Language Models

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

A list of research papers of explainable machine learning.

LLM Roleplay: Simulating Human-Chatbot Interaction

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''.

A revolutionary Mental Operating System that unlocks your innate genius and peak mental performance through powerful cognitive patterns and principles, transforming how you live, think, learn, solve complex problems, and even how you interact with AI. Discover extraordinary problem-solving abilities and generate breakthrough insights. 🧠

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

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

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

Flask based REST API for experimenting with multi-agent systems that support data analysis and visualization

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.

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.

University of Waterloo INSIGHT Research Lab website

The project involves an innovative 3D flower avatar — a rose, that dynamically visualizes human emotions through color changes and movement, redefining human-computer interaction.