future AI x dignity

A practical framework for implementing ethics in elderly tech support through AI integration

Overview

This repository contains the complete implementation of a 2-year proven system for supporting a 77-year-old user with technology while maintaining dignity and autonomy. I've successfully transformed abstract ethical principles into concrete, deployable frameworks.

Update

The Kindle edition of “Digital Dignity at 77(2)” is live; use this repository to explore and reproduce every ethical AI workflow discussed in the text.

https://www.amazon.com/dp/B0FGH5ZYVR

Paid Amazon Bestseller Rankings:

• #853 overall in Books in Foreign Languages / #1 in Computer Science / #5 in Sociology / #14 in Philosophy Achieved the above rankings. July 7, 2025

What's Here

🔧 Technical Implementation

• RSS + AI News Curation System: Python-based automated news filtering with API integration
• Multi-device Security Architecture: Smartphone, tablet, and AI coordination system
• Risk Management Framework: Fraud prevention through contact isolation protocols
• UI/UX Design: Elderly-optimized interface patterns and interaction flows

📊 Validated Results

• 2-year zero-incident track record: No fraud, minimal technical troubles
• Measurable autonomy improvement: User independently operates multiple AI systems
• Scalable architecture: Designed for reproduction in similar environments
• Public-sector stakeholder briefed (Jul 2025); awaiting feedback.

🏗️ Ethics-to-Code Framework

• "Translation, not Management": Technical implementation of dignity preservation
• "Suggestions, not Commands": UI/UX patterns that maintain user agency
• Boundary Theory Application: Programmatic role separation (son/supporter/admin)
• Risk Assessment Algorithms: Ethical decision-making translated into code logic

Tech Stack

• Backend: Python, RSS parsing, API integration
• AI Services: ChatGPT Plus, Claude Pro, Gemini 2.5 Pro, Gemini 2.0 Flash
• Devices: Android (Pixel 7a), iPad (10th gen), various sensors
• Security: Multi-layer authentication, device isolation, emergency protocols
• Infrastructure: Ubuntu development environment

Key Innovations

1. Ethical Framework Implementation: Abstract principles → concrete code patterns
2. Cross-generational UX: Bridging digital divide without compromising user intelligence
3. AI Hallucination Mitigation: Multi-AI fact-checking architecture
4. Dignified Aging Technology: Hardware/software choices optimized for declining physical abilities

Primary Sources & Data

• User-generated content: 77-year-old's writings and photo collections
• 14-year longitudinal data: Technology adoption patterns and outcomes
• Detailed implementation logs: Every configuration and decision documented
• Academic paper: Theoretical background and methodology (forthcoming)

For Developers

# Core news curation system
git clone https://github.com/trgr-karasutoragara/daily-news-for-digital-dignity

All code follows MIT License for maximum reproducibility and research applications.

For Researchers

• Quantified dignity metrics: How to measure autonomy preservation in tech support
• Replicable methodology: From philosophy to implementation details
• Cultural translation framework: Adapting approaches across different societies
• Interdisciplinary validation: Philosophy + Engineering + Gerontology

Impact Potential

• Developing nations: Low-cost AI (Ollama + Gemma) enables local deployment
• Healthcare systems: Preventive care through technology empowerment
• Policy frameworks: Evidence-based approaches to digital inclusion
• Research acceleration: Complete open-source implementation available

Academic Context

This work bridges the gap between AI ethics theory and practical welfare applications. While most AI ethics research remains theoretical, this project provides measurable, 2-year validated results of ethical AI implementation in real-world elderly care.

Quick Start

1. Review FAQ for complete technical details
2. Examine primary sources for validation
3. Deploy RSS system for immediate testing
4. Adapt framework to your specific use case
5. Read the paper "future AI x dignity: Two-Year Zero-Incident Report and Primary Sources" for theoretical background. It is also available on Internet Archive.

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License: MIT
Status: Production-ready, 2-year validated
Maintenance: Active development and documentation

"Technology should serve human dignity, not replace it."

Repository Policy

• I develop prototypes with a focus on ethics.
• There are no plans for maintenance or support.
• The project is released under the MIT License, so feel free to modify it within the scope of the license.
• Instead of providing support, I create new prototypes to solve emerging problems.