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SHE ZenAI Q*: Ushering in an Era of Ethical and Human-Centric AI

Updated: Mar 29

Can AI truly understand and prioritize human values? SHE ZenAI with Q* addresses this challenge.


Key Takeaways:


  • SHE ZenAI with Q* addresses the challenge of creating an AI that understands and prioritizes human values.


  • The groundbreaking Trinity engine sets SHE ZenAI apart from advanced LLM AI, by using an iterative adaptive learning process to reach binary outcomes - the K* + Q* + O* =Trinity* algorithm.


  • The development of SHE ZenAI Trinity* algorithm was driven by the need for a decentralized, mobile, personalized, and well-being-focused AI.


  • Calculus helped shape the development of SHE ZenAI Q*.


  • The DBZ Q* Algorithm leverages decision history, dynamic adjustment, data variables and ethical considerations within the Comfort Index framework to measure User satisfaction and provide tailored recommendations


  • SHE ZenAI Q* builds upon Q-learning techniques and embeds ethical decision-making directly into its core operations.


  • The Trinity Engine harmonizes Knowledge (K), Optimization (O), and Ethical Decision-Making (Q) to create a synergistic system.


  • SHE ZenAI Q* has the potential to revolutionize person centric industries such as healthcare, finance, education, and creative sectors by prioritizing human well-being and ethical considerations.


Since AI technology amplifies our capabilities, safeguarding our most profound human values is essential. SHE ZenAI achieves this through its groundbreaking Trinity engine—a framework that sets it apart from advanced LLM AI using Q-learning techniques.


Trinity uses an iterative adaptive learning process to reach binary outcomes via K* + Q* + Q* algorithms. Q-learning improves the Q*s performance dramatically with adaptive learning.


The SHE ZenAI Journey: Personal Motivation


My drive to develop the SHE ZenAI Trinity algorithm began with a need for a decentralized, mobile, personalized, and well-being-focused AI. A general intelligence that can handle concierge, coach and companion tasks intuitively across multi-modal mobile platforms. One thats quiet but helpful and looks after my interests.


The Origins of SHE ZenAI Trinity of Q*, *K & O* Algorithms


I developed the Hyfron Approach factors to baseline fix principles to monitor for future coherency. Specifically, I created a framework for the Body Machine Interface (BMI) of the expanding Body Area Sensor Network expansion. Why give big tech or biotech control over the software switch to my body in the AI era? The Inner space race for personal data I think draws a line for everyone. It's a personal domain that currently is undervalued.


The first step involved defining the ideal theoretical outcome. This process highlighted potential issues and inform the design of decision-making functions, tailor to the desired constraints.

With these constraints, I could design decision-making Functions. In programming, these constraints are called 'Operands'. These terms or expressions provide mathematical operations. I create these little machines for specific functions. They don't require an LLM to produce intelligent outcomes. For instance, the function operating in an HTML browser displays simulated data with the primary operational operand output.



Leveraging my experience developing trading systems since the 1980s, I understood the power of calculus to express theory. The objective then proven becomes unambiguous code. These code modules can test and weigh each user's well-being data variable in layers to produce quantifiable results immediately and, over time, and predict outcomes.


Typical variables included human and environmental elements. I selected common and uncommon variables to demonstrate outcomes in operational code:


  • Mood (Subjective, rated 1-10 by the user)


  • Sleep (Measured with concatenated data: REM, Deep Sleep, are Subconscious.)


  • Stress (Vital signs provide micro-level measurements and are also Subjective as a feeling.)


  • Exercise (Calculated or Tracked points)


  • Earthquakes (Relational, Integer data feed, with clinical measurements.)


  • Rejuvenation (Calculated Prediction)


A theory expressed in calculus describing on "event" or "time slice" moments catalyzed a breakthrough in November 2023. I used a highly instructed OpenAI GPT to refine the stage one Q* calculus in a "one-shot". The next step was to test the hell out of the Q* decision-making algorithm. 


The DBZ Q* Algorithm, in simplistic terms

 

(D) Decision history over time with A(D) dynamic strategic adjustment +L(data variables) +E(t) Ethics over time + C(H,S)) Comfort Index outcome & system effectiveness ⋅H(t)dt Dynamic User Satisfaction Measure & Recommendation.


Q-Learning and Beyond


AI pioneers like OpenAI have made significant strides in reinforcement learning, particularly with Q-learning techniques. Essentially, Q-learning allows AI agents to 'learn by doing', optimizing actions within an environment to maximize rewards. It's a powerful approach but can sometimes prioritize simple efficiency over ethical considerations. 



SHE ZenAI Trinity Core Algorithm Demonstration
SHE ZenAI Trinity Core Algorithms Demonstration


SHE ZenAI Q* builds on the foundations of Q-learning and diverges strategically. It embeds ethical decision-making directly into its core operations through the DBZ Q* algorithm. Function calls ensure AI choices consistently align with human values throughout the iterative operation. 


I'll refer to the OpenAI 2018 process schema as the LLM example, utilizing model-free reinforcement learning for the Adaptability function. Unlike OpenAI's approach (which relies on additional supporting algorithm models of the "dataset environment". SHE ZenAI prioritizes its K* (Knowledge) algorithm for comprehensive data handling and insights.


The Trinity Engine: Powering Knowledge, Optimization, and Ethics




The power of SHE ZenAI Q* lies in its Trinity Engine, a synergistic system that harmonizes three critical components:


  • Knowledge (K): A robust and ever-expanding knowledge base fuels informed decision-making. CoT + ToT + K* is a verifier function.


  • Optimization (O): Advanced algorithms meticulously fine-tune outcomes via Observation and (CI) Consensus functions for maximum individual and societal benefit.


  • Ethical Decision-Making (Q): SHE ZenAI's unique implementation of Q-learning prioritizes ethical considerations and human values in the decision-making process. Integrating Q-learning increased Trinity's baseline performance by up to 60% in some functions. 


Real-World Impact: SHE ZenAI Q* in Action


SHE ZenAI Q* has the depth of potential to revolutionize numerous industries by putting human well-being first (versus the corporation) at the forefront of AI development:


  • Health Span: Personalized AI dynamic life enhancing plans will be tailored to individual needs and comfort levels. This will optimize desired outcomes while adhering to ethical considerations. Data privacy is central to ethical AI. 


  • Financial: DBZ AI-powered financial advisors are designed to match your risk tolerance, ethical investment preferences, and long-term financial goals.


  • Education: Educational AI assistants can nurture a student's holistic development by fostering intellectual growth, emotional intelligence, and ethical reasoning skills.


  • Creative Industries: Why not have AI collaborations that generate content while adhering to ethical principles and promoting cultural enrichment?  


Shaping the Path Forward: A Call to Action


SHE ZenAI Q* signifies a critical step towards ethical and wise AI systems. This technology can transform our world by prioritizing human values and well-being. Join the journey! 


Explore the concepts behind the SHE ZenAI Trinity of Q*, O*, and K*. Engage in discussions about fostering ethical AI and help us create a future where technology and human values seamlessly coexist. Let's pioneer a new paradigm of AI—one that empowers us to tackle tomorrow's challenges while remaining true to human principles.


Visit our website to learn more and get involved in shaping the future of ethical AI.


References :


1. Design By Zen [SHE is Zen AI] [Hyfron Approach]

2. OpenAI Open Source MIT License [2018]

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Author Bio:


David W. Harvey, CEO of Design By Zen, merges 42 years of IT and high-tech design expertise with groundbreaking innovation. Inventor of the DBZ Comfort Index, Holistic Objectives algorithm, and the pioneering Social Harmony Ecosystem or Engine -SHE Zen AI architecture, David's work also includes the world's first intelligent earthquake table -EQ1. Holder of multiple international patents, his professional excellence parallels a fervent interest in exotic cars & simulation engineering. Off-screen, David finds balance in cultivating a Zen garden, reflecting his philosophy of harmony in technology and life through art.

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