NEWM-AIPoPh

AIPoPh -> An Interacting Protocol tO Prove humanity

• pronounced AI Pop (ə aɪ pɑp) with a silent h

AIPoPh is an innovative proof of humanity (PoH) system developed by NEWM, aimed at bolstering the security of smart contracts. This protocol integrates traditional approaches with cryptographic proofs and machine learning techniques to ensure that users are genuine humans rather than advanced AI entities.

This research project has been funded as a proposal under the Catalyst program, specifically for the 10th funding round in the Open Source Dev Ecosystem category.

Links

NEWM

Ideascale

Milestones

Roadmap

The research roadmap will align with the Catalyst milestones provided in the proposal.

• Technology Feasibility Research
  • review of the existing Proof-of-Human (PoH) solutions
  • explore different methods of user verification
  • study the feasibility of integrating them into Cardano
  • research cryptographic proof generation and validation methods
• Back-End Implementation
  • developing the proof of humanity system
  • coding the user verification module
  • creating the cryptographic proof generation system
  • implementing the proof validation system
• Quality-Control Stage
  • internal system testing
  • potential vulnerabilities testing
  • provide detailed documention
• User Product Testing
  • Collect user feedback regarding usability, performance, and overall UX
• Bug Fixing & Improvements
  • Backend Changes
  • Frontend Changes
• Catalyst Closeout Video

All documentation for the roadmap will be in the docs folder. PDfs will be generated into pdf folder.

Goals

The main goals of the Proof-of-Human (PoH) system for smart contracts are:

1. Enhancing Security: Secure the Cardano ecosystem by ensuring only verified human users interact with smart contracts, reducing the potential for fraudulent activities and manipulations by bots or malevolent entities.

2. Promoting User Confidence: By introducing an additional layer of security through the PoH system, we aim to boost user confidence in the Cardano ecosystem, paving the way for wider adoption.

3. Preserving User Privacy: As we implement the PoH system, our utmost priority is to comply with privacy standards and regulations. This not only safeguards users' rights but also fortifies the trust they place in our system.

Contact

For questions, suggestions, or concerns, please reach out to support@logicalmechanism.io.

Converting Markdown to PDF

# requires pandoc and texlive to work
pandoc markdown-file.md -o markdown-as-pdf.pdf