Human-augmented Artificial Intelligence

HaAI Labs is a software research & development studio with a focus on quality, expert data. We develop open-source models and tools that harness the value of expert insights and utilize blockchain to ensure their secure collection, validation, and integration into automated workflows.

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News

The latest on HaAI Labs

HaAI Labs at SciCon 2023

SciCon is a Decentralized Science (DeSci) conference organized by ResearchHub. Dr. Nassim Dehouche gave a talk about On-Chain Peer Review and Publishing.

Watch Talk

HaAI Labs Receives Ocean Shipyard Grant

Ocean Shipyard is a competitive early stage grant program funding the next generation of Web3 dApps built on the Ocean Protocol.

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HaAI Labs at DAODenver '23

Dr. R. Morgan Stuart, Neurosurgeon and founder of MedDAO, presented a protoype for a medical peer review system built with SciDex.

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HaAI Labs Wins ResearchHub Reputation Hackaton

Our algorithm combined the L-Score with ResearchHub's Lifetime Score to allow users to quickly identify experts in a field.

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HaAI Labs Founder in the Guardian Australia

Dr. Nassim Dehouche was interviewed on the impact of Large Language Models on higher education.

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Products Suite

Our open-source products cover On-chain Peer Review, Expert Elicitation, and Collective Decision-Making

SciDex

SciDex is a full-stack, on-chain peer review system that empowers Decentralized Science (DeSci) and domain-expert DAOs to effortlessly launch their own peer-reviewed academic journals.


Website
Source Code
Video Walkthrough

Cognize

Cognize is a decentralized solution that enables experts, such as software, legal or medical professionals, to monetize their expertise and knowledge by responding to cognitive tasks.


Website
Source Code
Video Walkthrough

Deliber

Coming soon.

Team

Members of HaAI Labs

Nassim Dehouche

Ph.D. CS

Som Meesakulthaworn

MSc. HCI

Rajiv Gupta

Ph.D. CS

Research

Our research spans Decentralized Computing, Data Science, Medical Analytics, and Algorithmic Fairness

A Blockchain Protocol for Human-in-the-Loop AI

Nassim Dehouche, Richard Blythman

NeurIPS 2022 - Decentralization and Machine Learning in Web3 Workshop

Full Text

Hospital length of stay: A cross-specialty analysis and Beta-geometric model

Nassim Dehouche, Sorawit Viravan, Ubolrat Santawat, Nungruethai Torsuwan, Atthakorn Intharakosum, Yongyut Sirivatanauksorn

PLOS One

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Removing the barriers for Participation in Decentralized Science from Traditional Academia

Nassim Dehouche, Jeffrey Koury, Guy Fincham, Morgan Stuart, Lucia della Ventura, Richard Blythman, Sarah Hamburg

ResearchHub

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What's in a Text-to-Image Prompt: The Potential of Stable Diffusion in Visual Arts Education

Nassim Dehouche, Kullathida Dehouche

Heliyon

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Implicit Stereotypes in Pre-Trained Classifiers

Nassim Dehouche

IEEE Access

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Plagiarism in the age of massive Generative Pre-trained Transformers (GPT-3)

Nassim Dehouche

Ethics in Science and Environmental Publishing

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The injury severity score: an operations perspective

Nassim Dehouche

BMC Medical Research Methodology

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On Evaluating the Quality of Rule-Based Classification Systems

Nassim Dehouche

ICIC Express Letters

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Revisiting the volatility of bitcoin with approximate entropy

Nassim Dehouche

Cogent Economics and Finance

Full Text

Contact

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