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Explainable AI Using Expressive Boolean Formulas

Unite.AI

The explosion in artificial intelligence (AI) and machine learning applications is permeating nearly every industry and slice of life. While AI exists to simplify and/or accelerate decision-making or workflows, the methodology for doing so is often extremely complex. But its growth does not come without irony.

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Explainable AI: Demystifying the Black Box Models

Analytics Vidhya

Explainable AI aims to make machine learning models more transparent to clients, patients, or loan applicants, helping build trust and social acceptance of these systems. Now, different models require different explanation methods, depending on the audience.

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Explainable AI using OmniXAI

Analytics Vidhya

Introduction In the modern day, where there is a colossal amount of data at our disposal, using ML models to make decisions has become crucial in sectors like healthcare, finance, marketing, etc. Many ML models are black boxes since it is difficult to […].

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Building Trust in AI: The Case for Explainable Artificial Intelligence (XAI)

Pickl AI

Summary: This blog discusses Explainable Artificial Intelligence (XAI) and its critical role in fostering trust in AI systems. Introduction Artificial Intelligence (AI) is becoming increasingly integrated into various aspects of our lives, influencing decisions in healthcare, finance, transportation, and more.

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Top Emerging Areas in Artificial Intelligence (AI)

Marktechpost

Among the main advancements in AI, seven areas stand out for their potential to revolutionize different sectors: neuromorphic computing, quantum computing for AI, Explainable AI (XAI), AI-augmented design and Creativity, Autonomous Vehicles and Robotics, AI in Cybersecurity and AI for Environmental Sustainability.

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The Importance of Implementing Explainable AI in Healthcare

ODSC - Open Data Science

Healthcare systems are implementing AI, and patients and clinicians want to know how it works in detail. Explainable AI might be the solution everyone needs to develop a healthier, more trusting relationship with technology while expediting essential medical care in a highly demanding world. What Is Explainable AI?

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Explainable AI: A Way To Explain How Your AI Model Works

Dlabs.ai

Artificial intelligence can transform any organization. That’s why 37% of companies already use AI , with nine in ten big businesses investing in AI technology. Still, not everyone can appreciate the benefits of AI. One of the major hurdles to AI adoption is that people struggle to understand how AI models work.