Alignment with DF goals (BGI, Platform growth, community)

This idea aligns strongly with DeepFunding.ai’s goals of advancing Benevolent General Intelligence (BGI), fostering Platform Growth, and strengthening the Community. For BGI, the dashboard ensures Hyperon’s reasoning is transparent through features like inference trees and attention heatmaps, crucial for safe and trustworthy AGI. It allows users to validate decisions, reducing biases, and supports ethical AGI by ensuring explainability, building on past projects like PLN Guidance to LLMs. For Platform Growth, it enhances Hyperon’s usability, attracting developers to create services, similar to how the GoLang SDK simplified integration. As a marketplace service, developers can pay with AGIX tokens, generating revenue and boosting adoption, though it focuses on Hyperon users. For the Community, it aids developers in debugging, researchers in studying AGI, and educators in teaching, akin to MeTTa Demos, fostering collaboration and innovation within the ecosystem.

Problem description

Hyperon’s reasoning processes are opaque, making it challenging to understand why it produces certain outputs. This lack of transparency hinders developers from debugging their applications, researchers from studying its behavior, and users from trusting its decisions. For instance, if Hyperon flags a transaction as suspicious, users cannot easily determine the specific reasons, eroding trust and validation. This slows adoption despite advancements from previous RFPs like PLN Inference Control, limits community engagement, and affects real-world applications, risking SingularityNET’s growth and mission.

Proposed Solutions

The proposed solution is a web-based Explainable AI Dashboard deployed on SingularityNET. It uses XAI techniques to visualize Hyperon’s reasoning through graphs and heatmaps, connecting via APIs to access data from PLN and Attention Allocation. Tools like SHAP and LIME generate explanations, such as why a transaction was flagged. Developed in phases over 2-3 months using the GoLang SDK, it delivers a dashboard, API, documentation, and a demo, addressing transparency, boosting adoption, and engaging the community for real-world trust.