👾 下一代透明智能体架构 | Next-Gen Transparent Agent Architecture 🔍 全行为审计 | 🛡️ 两段式安全调用 | 🧠 双水位记忆 | ⏰ 心跳任务 📊 P0 级事故率降低 80% | 兼容 OpenClaw + Claude Code 技能生态

Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.

A complete end-to-end fraud detection system for financial transactions, featuring data pipelines, cost-sensitive ML modeling, explainability with SHAP, threshold optimization, batch scoring, and an interactive Streamlit dashboard. Designed to simulate real-world fintech fraud-risk workflows.

This article reframes pricing as a negotiation rather than a prediction, showing how price emerges from tensions between product reality, market dynamics, and buyer behavior. It introduces negotiation-aware ML, value decomposition, and equilibrium modeling to build transparent, human-aligned pricing systems.

This article explores the theory behind explainable car pricing using value decomposition, showing how machine learning models can break a predicted price into intuitive components such as brand premium, age depreciation, mileage influence, condition effects, and transmission or fuel-type adjustments.

📊 Language Model Learning a Dataset for Data-Augmented Prediction

Self-Evolving RAG System with ChromaDB for continuous knowledge updates (6x daily), designed to overcome Large Language Model data cutoff limitations.

Holistic Multimodel Domain Analysis: A New Paradigm for Robust, Transparent, And Reliable Exploratory Machine Learning that Considers Cross-Model Variability in Feature Importance Assessment

The Conscience Layer Prototype, created by Aleksandar Rodić in 2025, establishes a research foundation for ethical artificial intelligence. It brings moral awareness into computation through principles of truth, human autonomy, and societal responsibility, defining a transparent and accountable form of intelligence.

Modular prompt system for transparent, multi-perspective, non-human AI reasoning.

Git-native desktop tool for crafting context-aware LLM prompts from local codebases with full transparency and control

🌐 Information-Oriented Sphere System: From Data to Information Paradigm Shift | 信息导向球面系统 - Lossless reconstruction (MSE=0), Full interpretability, 2.28x optimized

Conceptual Intelligence System - Building genuine intelligence through concepts, not neural networks

🚗 Decode car values using a transparent machine learning system that enhances price understanding through explainable methods.

A pre-alpha experiment for slower, more understandable AI-assisted vibe coding / agentic engineering.

This is a fully physical implementation of a foundational machine learning model: the perceptron. Built as a final project for COGS300 at UBC, this work transforms an abstract mathematical concept into a tangible, interactive system you can see, touch, and probe. At its core, the project explores what happens when we remove abstraction from AI.

Accompanying code for IROS 2026 paper - What Is My Robot Thinking? Design Considerations for Transparent and Trustworthy Shared Autonomy

Moria Grendel - Open-source AI influencer experiment for theaivideocreator.ai

Human-centered AI specs focused on auditable, controlled, and transparent systems across governance, orchestration, and civic infrastructure. A Specification Branding License is negotiable for attribution-free deployment, with pricing based on size and scope of implementation.

🤝 Explore negotiation-driven pricing with a simulation engine that applies behavioral economics for smarter, real-world pricing strategies.