This GitHub repository contains the complete code for building Business-Ready Generative AI Systems (GenAISys) from scratch. It guides you through architecting and implementing advanced AI controllers, intelligent agents, and dynamic RAG frameworks. The projects demonstrate practical applications across various domains.

A curated list of awesome academic research, books, code of ethics, courses, databases, data sets, frameworks, institutes, maturity models, newsletters, principles, podcasts, regulations, reports, responsible scale policies, tools and standards related to Responsible, Trustworthy, and Human-Centered AI.

A deep exploration of Algorithmic Empathy, the next frontier in AI understanding. This project examines how machines can learn from human fallibility, model disagreement, and align with moral reasoning. It blends psychology, fairness metrics, interpretability, and co-learning design into one framework for humane intelligence.

An in-depth exploration of the rise of human-centered, interactive machine learning. This article examines how Streamlit enables collaborative AI design by merging UX, visualization, and automation. Includes theory, architecture, and design insights from the ML Playground project.

CognitiveLens is a Streamlit-powered analytics tool for exploring alignment between human and AI decisions. It visualizes fairness, calibration, and interpretability through metrics like Cohen’s κ, AUC, and Brier score. Designed for ethical AI, bias auditing, and decision transparency in machine learning systems.

Repository of the paper "Toward a Responsible Fairness Analysis: From Binary to Multiclass and Multigroup Assessment in Graph Neural Network-Based User Modeling Tasks"

A Deep Learning Framework for Visual Attention Prediction and Analysis of News Interfaces | 2025 IEEE Conference on Artificial Intelligence (CAI)

Seed Lab is a research workspace exploring language model behavior, symbolic reasoning, and emergent communication patterns through structured personas, simulated interactions, and interpretability-focused experiments.

Personalized Interactive Localization-Adaptive Real-time Technology

Inferring encoded preferences in human feedback data using interpretability + LLMs.

Standard ufficiale del Markup Emozionale ideato da Lorenzo Coppola

Framework de Desarrollo para Modelo Etico Adaptativo

A human-centered ethical framework for AI based on emotional fulfillment.

An ethics-first, transparent AI reasoning assistant. Built to be self-hosted by anyone.

What I am doing here

Counterfactual explanations for continuous reinforcement learning with simulation in T1D and Gym environments.

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.

🧠 AI Developer based in Tokyo 🇯🇵 | Building creative, human-centered AI experiences. 🥈 2nd Place — Liquid AI x W&B x Lambda Hackathon (Tokyo) 💻 Focused on multimodal LLMs, voice interaction & fast prototyping (vibe coding). 🌸 Exploring the intersection of Japanese culture and AI innovation.

Mood Meets Media

🧠 Transform chaos into structured collaboration between humans and AI with the Neurostiv Framework, based on neuroscience principles for measurable benefits.