Horizons AI Project Example

This is intended to provide an example of the type of project, presentation and thinking that the Horizons competition is designed to encourage. It is not meant to act as a pro-forma or to be seen as exclusive in the way ideas are formed or presented for Horizons. It also represents a best case scenario especially in terms of the presentation. 

Preliminary Information

Project Title

AI Ethics Chain - A Public Blockchain for AI Transparency

Challenge Addressed

Primary Challenge:

  • Ethical Standards for AI: Establishing and promoting ethical standards for AI training and use

Also addresses:

  • Assessing Future Impact: Developing frameworks to assess and predict the long-term societal impacts of AI technologies

Executive Summary

AI Ethics Chain creates a public record of AI systems' ethical evaluations using blockchain technology, starting with Utah's educational and healthcare institutions. This solution combines the transparency of blockchain with practical ethics evaluation tools, making AI systems' decision-making processes more accountable to the public.

Problem Statement

While AI systems increasingly make important decisions in public institutions, there's no transparent way to track their ethical compliance or decision-making patterns. Utah needs a system that builds public trust by making AI evaluation transparent and immutable.

Solution Overview

Three integrated components:

  1. Ethics Evaluation Framework: Standardized tests for bias, privacy, and transparency
  2. Public Blockchain Record: Immutable public record of AI evaluations and updates
  3. Public Interface: User-friendly website for viewing AI systems' ethical records

Results

Technical Implementation

  • Built on Ethereum or similar public blockchain
  • Smart contracts for recording evaluations
  • Open-source validation nodes
  • Public API for data access

Evaluation tools

  • Automated bias testing scripts
  • Privacy compliance checklist
  • Transparency scoring system
  • Regular re-evaluation triggers

Public Dashboard

  • Real-time view of evaluated AI systems
  • Historical performance tracking
  • Public feedback mechanism
  • Easy-to-understand ratings

Impact Metrics

  • Number of AI systems evaluated
  • Public engagement with dashboard
  • Institution participation
  • Policy influence
  • Public trust improvements

Budget and Timeline

  • Development costs: $50,000
  • Month 1-2: Framework development
  • Month 3-4: Blockchain integration
  • Month 5: Initial testing
  • Month 6: Public launch with first partner institution

Presentation

Presentation proposal: AI Ethics Chain

"The Transparency Trail"

Interactive Stations

  1. "The Evaluation Station"
    • Live demonstration of AI evaluation
    • Real-time results recording
    • Bias testing visualization
  2. "Blockchain Bridge"
    • Physical representation of blockchain recording
    • LED light chain showing transaction flow
    • Interactive smart contract demonstration
  3. "Public Trust Portal"
    • Live dashboard display
    • Real-time feedback system
    • Impact visualization

Technical Setup

  • Small blockchain network demonstration
  • Interactive testing environment
  • Real-time visualization system
  • Audience participation through mobile devices

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