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bioengineer.org /2 weeks ago

Shapley Explanations Support Stock Decisions in LSTM and MLP Models’ Decade-Long Backtest

A new artificial-intelligence investment simulator could make stock-market algorithms less mysterious by showing users not only what an AI recommends, but also which signals influe...

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finextra.com /4 weeks ago

Why Explainable AI Matters for the Future of UK Financial Services (Faisal Umar)

Across the UK, financial institutions are using machine learning models to make decisions that affec...

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medium.com /1 month ago

Explainable AI: Forget about AGI and focus on XAI.

Opening the Neural Network “black box”.Continue reading on Medium »

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artificialintelligence-news.com /1 week ago

Motional and MIT AI explains self-driving car decisions

Motional and MIT researchers have built a system that lets self-driving cars explain their decisions in real-time, tackling the black-box problem in autonomous vehicle AI. The work...

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finextra.com /1 month ago

Explainable AI in banking depends explainable data (Alex Ford)

If a bank cannot show where a data point came from, when it was last verified, and what changed sinc...

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feeds.feedblitz.com /1 month ago

LLM Tool Call Reasoning Using Embabel Agentic AI Framework

Learn how to use the Embabel Agent Framework in Java to gain observability over AI agent tool-call selection reasoning. The post LLM Tool Call Reasoning Using Embabel Agentic AI F...

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editorialge.com /1 month ago

Explainable AI: Why Black-Box Models Are a Problem

The AI black box problem occurs when a machine learning model delivers high-stakes decisions—like denying loans, flagging transactions, filtering job applicants, or guiding medical...

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medium.com /1 week ago

How a 70-Year-Old Fairness Formula Cracked Open the AI Black Box

The Nobel Prize-winning idea from 1953 that helps us understand what’s really going on inside AIContinue reading on Medium »

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medium.com /2 weeks ago

Building InfluencerTrust AI: From Influencer Metrics to Explainable Campaign Decisions

How I turned influencer data into a practical MarTech decision-support systemContinue reading on Medium »

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databricks.com /1 month ago

AI Transparency: Governance, Explainability, and Data Practices

AI transparency is the practice of making an artificial intelligence system's data, model behavior...

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aws.amazon.com /1 month ago

Build an explainable next-best-product recommendation system for banking on AWS

Learn the architecture and design decisions behind an explainable next-best-product recommendation system for banking, built with Amazon SageMaker AI and PyTorch. A multi-tower neu...

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blogs.cisco.com /1 month ago

AI Supply Chain Provenance Explorer for Responsible AI Governance

Open source AI has never been more accessible. The rapidly growing scale and diversity of AI models available to developers worldwide is unprecedented. The harder question begins a...

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medium.com /2 weeks ago

A Clean Chart Is Not the Same Thing as a True Reason

What explainability means for language models, how ClinicalGPT currently approaches it, and what must be tested before an attribution…Continue reading on Medium »

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dzone.com /1 month ago

Observability for AI Agents and Multi-Agent Systems: When Your System Can't Tell You Why It Did That

The bug report was received as a customer complaint. An AI agent responsible for managing vendor onboarding had sent a rejection email to a supplier the company had been trying to...

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venturebeat.com /3 weeks ago

As enterprises confront AI agent sprawl, xpander wants them to own their own control and context layer

Enterprise AI has a new infrastructure problem: companies are accumulating agents faster than they are developing systems to govern them.Gartner estimates that the average global F...

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medium.com /2 weeks ago

When a Genetic Algorithm Tried to Out-Think Gradient Attribution

Building GA-SHAP: explaining an Alzheimer’s MRI classifier by evolving spatial masks — and getting beaten by a much simpler baselineContinue reading on Medium »

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ai.plainenglish.io /2 weeks ago

I Finally Understood Why AI Search Finds the Right Answer — It’s All About Embeddings

A developer-friendly deep dive into vectors, semantic similarity, and how modern AI systems retrieve meaning instead of simply matching…Continue reading on Artificial Intelligence...

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machinelearningmastery.com /1 week ago

3 Ways to Enhance Your AI Model’s Interpretability

In this article, you will learn three concrete techniques for making machine learning model predictions interpretable, covering both global and local explanations across tree-based...

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news.mit.edu /1 week ago

System helps humans predict when self-driving cars will make mistakes

A new method, called CW-Net, translates the reasoning process of an autonomous vehicle’s AI system into understandable concepts that explain its behavior.

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github.com /1 month ago

Yes-Brainer - compare several AI models on one question, no account

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finextra.com /1 month ago

The Explainability Trade-Off Was Never Real (Swagatam Sen)

By Swagatam Sen, Founder & CEO, ControlOne Financial crime teams have been offered a choice for ...

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medium.com /2 weeks ago

The US Wants to Ban Kimi 3

Suppose you’re staring at two futures of artificial intelligence. Behind door one sits the familiar American setup closed models locked…Continue reading on Towards Explainable AI »

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medium.com /1 month ago

Understanding LLMs Without the Hype

Explore AI, Machine Learning, Transformers, GPT, and LLMs through an intuitive visual guide to Generative AI.Continue reading on Medium В»

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theregister.com /1 month ago

Grok muscles into Excel with an AI add-in of its own

xAI's sidebar agent promises analysis and financial models – for a price

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