Analytics Vidhya

MARCH 14, 2023

The quality of AI is what matters most and is one of the vital causes of the failure of any business or organization. According to a survey or study, AI […] The post What are Explainability AI Techniques? Why do We Need it? appeared first on Analytics Vidhya.

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Analytics Vidhya

OCTOBER 24, 2020

Introduction This Article Covers the use of an Explainable AI framework(Lime, Shap). The post Unveiling the Black Box model using Explainable AI(Lime, Shap) Industry use case. This article was published as a part of the Data Science Blogathon. appeared first on Analytics Vidhya.

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Towards AI

MARCH 17, 2024

It is also garnering massive popularity in organizations and enterprises, with every corner of every business implementing LLMs, Stable Diffusion, and the next trendy AI product. Alongside this, there is a second boom in XAI or Explainable AI. Interpretability — Explaining the meaning of a model/model decisions to humans.

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ODSC - Open Data Science

NOVEMBER 30, 2023

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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Towards AI

FEBRUARY 3, 2024

eds) Explainable AI: Interpreting, Explaining and Visualizing Deep Learning. link] Join thousands of data leaders on the AI newsletter. PLoS ONE 10(7), e0130140 (2015) [2] Montavon, G., Lapuschkin, S., Müller, KR. Layer-Wise Relevance Propagation: An Overview. In: Samek, W., Montavon, G., Vedaldi, A., Müller, KR.

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Towards AI

NOVEMBER 1, 2023

Last Updated on November 2, 2023 by Editorial Team Author(s): Ahmed Fessi Originally published on Towards AI.

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Marktechpost

JULY 6, 2023

On the other hand, explainable AI models are very complicated deep learning models that are too complex for humans to understand without the aid of additional methods. This is why when Explainable AI models can give a clear idea of why a decision was made but not how it arrived at that decision.

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Mlearning.ai

DECEMBER 31, 2023

Principles of Explainable AI( Source ) Imagine a world where artificial intelligence (AI) not only makes decisions but also explains them as clearly as a human expert. This isn’t a scene from a sci-fi movie; it’s the emerging reality of Explainable AI (XAI). What is Explainable AI?

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Dlabs.ai

AUGUST 16, 2022

This is the challenge that explainable AI solves. Explainable artificial intelligence shows how a model arrives at a conclusion. What is explainable AI? Explainable artificial intelligence (or XAI, for short) is a process that helps people understand an AI model’s output. Let’s begin.

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Jay Alammar

MAY 3, 2021

Introducing the Explainable AI Cheat Sheet , your high-level guide to the set of tools and methods that helps humans understand AI/ML models and their predictions. I introduce the cheat sheet in this brief video:

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Explainable AI Explainability AI AI 52

DataRobot Blog

FEBRUARY 14, 2022

DataRobot offers end-to-end explainability to make sure models are transparent at all stages of their lifecycle. In this post, we’ll walk you through DataRobot’s Explainable AI features in both our AutoML and MLOps products and use them to evaluate a model both pre- and post-deployment. Learn More About Explainable AI.

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Analytics Vidhya

JUNE 17, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon eXplainable AI(XAI) What does Interpretability/Explainability mean in AI? The post Beginner’s Guide to Machine Learning Explainability appeared first on Analytics Vidhya. The following points.

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Flipboard

FEBRUARY 1, 2023

AI image generators have been causing a stir in the creative industry for quite some time now, but the main issue is how these tools are undertaking …

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Explainable AI Explainability AI AI 112

Analytics Vidhya

MAY 26, 2022

Introduction The ability to explain decisions is increasingly becoming important across businesses. Explainable AI is no longer just an optional add-on when using ML algorithms for corporate decision making. This article was published as a part of the Data Science Blogathon.

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Flipboard

JULY 13, 2023

"AI Czar" and Vice President Kamala Harris was ridiculed on social media for her "stunning" description of artificial intelligence on Wednesday. In the latest example of Harris’ "word salad" moments, the vice president spoke at the Eisenhower Executive Office Building in Washington, D.C., and gave …

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Unite.AI

JUNE 26, 2023

In addition to strict, reasonable and thorough regulations, developers should take steps to prevent AI-gone-wrong scenarios. Explainable AI — also known as white box AI — may solve transparency and data bias concerns. Explainable AI models are emerging algorithms allowing developers and users to access the model’s logic.

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Unite.AI

AUGUST 25, 2023

Can focusing on Explainable AI (XAI) ever address this? To engineers, explainable AI is currently thought of as a group of technological constraints and practices, aimed at making the models more transparent to people working on them. You can't really reengineer the design logic from the source code.

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Towards AI

JULY 22, 2023

So, don’t worry, this is where Explainable AI, also known as XAI, comes in. HEALTHCARE WITH AI: SOURCE: [link] Let’s go through some instances to help you understand why Explainable AI is so important: Imagine a healthcare system in which, instead of speaking with a doctor, you interact with an AI system to assist you with diagnosis.

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Marktechpost

APRIL 24, 2024

To ensure practicality, interpretable AI systems must offer insights into model mechanisms, visualize discrimination rules, or identify factors that could perturb the model. Explainable AI (XAI) aims to balance model explainability with high learning performance, fostering human understanding, trust, and effective management of AI partners.

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Flipboard

JANUARY 23, 2023

ChatGPT as a Python Programming Assistant • ChatGPT: Everything You Need to Know • Explainable AI: 10 Python Libraries for Demystifying Your Model’s …

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IBM Journey to AI blog

JUNE 26, 2023

You can start by learning more about the advances IBM is making in new generative AI models with watsonx.ai and proactively put watsonx.governance in place to drive responsible, transparent and explainable AI workflows, today and for the future. What is watsonx.governance?

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IBM Journey to AI blog

DECEMBER 8, 2023

AIOps Insights integrates with existing ChatOps platforms like Slack to provide insights directly where IT Operations teams work, and uses explainable AI to provide clear recommendations. Streamline management: Configure, install and manage integrations easily to tailor AIOps Insights to your specific needs.

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Towards AI

AUGUST 31, 2023

Last Updated on September 1, 2023 by Editorial Team Author(s): Louis Bouchard Originally published on Towards AI. An introduction to explainable AI This member-only story is on us. Upgrade to access all of Medium. Originally published on louisbouchard.ai, read it 2 days before on my blog!

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AI News

MARCH 7, 2024

The first is that all Bosch AI products should reflect the ‘invented for life’ ethos which combines a quest for innovation with a sense of social responsibility. The second apes the BBC; AI decisions that affect people should not be made without a human arbiter.

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Towards AI

FEBRUARY 13, 2024

Introduction It’s been a while since I created this package ‘easy-explain’ and published it on Pypi. GradCam is a widely used Explainable AI method that has been extensively discussed in both forums and literature. The plotting functionality is also included, so you only need to run a few lines of code.

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Marktechpost

APRIL 7, 2024

A team of researchers has introduced Effector to address the need for explainable AI techniques in machine learning, especially in crucial domains like healthcare and finance. Effector is a Python library that aims to mitigate the limitations of existing methods by providing regional feature effect methods.

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AI News

APRIL 25, 2024

Pryon also emphasises explainable AI and verifiable attribution of knowledge sources. . “We give them choices in terms of how they’re consuming their platforms…from multi-tenant public cloud, to private cloud, to on-premises,” Jablokov said.

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IBM Journey to AI blog

AUGUST 16, 2023

Systems: Producing ethical and unbiased systems, including explainable AI. Data usage: Implementing data privacy and transparency practices and requesting consent for use and authorization for any data acquisition. Impact: Addressing societal issues, such as social mobility.

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Unite.AI

OCTOBER 20, 2023

Promote AI transparency and explainability: AI transparency means it is easy to understand how AI models work and make decisions. Explainability means these decisions can be easily communicated to others in non-technical terms.

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IBM Journey to AI blog

MARCH 7, 2023

Innocens worked closely with IBM and medical personel at the Antwerp University Hospital to develop a purposeful platform with a user interface that is consistent and easy to navigate and uses a comprehensible AI model with explainable AI capabilities.

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ODSC - Open Data Science

DECEMBER 7, 2023

The Importance of Implementing Explainable AI in Healthcare 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.

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IBM Journey to AI blog

DECEMBER 4, 2023

IBM watsonx.governance ™, a component of the watsonx™ platform that will be available on December 5 th , helps organizations monitor and govern the entire AI lifecycle. It helps accelerate responsible, transparent and explainable AI workflows.

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Unite.AI

APRIL 22, 2024

With more than 13 million global users, Ada Health exemplifies transparent, explainable AI in healthcare, providing clear insights into the diagnostic process. It enables precise symptom assessment against a database containing 3,600 conditions and over 31,000 ICD-10 codes, encompassing 99.5% of all diagnosable conditions.

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Marktechpost

MARCH 11, 2024

These matrices are leveraged to develop class-agnostic and class-specific tools for explainable AI of Mamba models. The researchers reformulate selective state-space (S6) layers as self-attention, allowing the extraction of attention matrices.

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Towards AI

FEBRUARY 22, 2024

easy-explain: Explainable AI with GradCam by Stavros Theocharis GradCam is a widely used Explainable AI method that has been extensively discussed in forums and literature. Our must-read articles 1.

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ODSC - Open Data Science

JUNE 7, 2023

Interactive Explainable AI Meg Kurdziolek, PhD | Staff UX Researcher | Intrinsic.ai Although current explainable AI techniques have made significant progress toward enabling end-users to understand the why behind a prediction, to effectively build trust with an AI system we need to take the next step and make XAI tools interactive.

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ODSC - Open Data Science

FEBRUARY 27, 2024

Interactive Explainable AI Meg Kurdziolek, PhD | Staff UX Researcher | Intrinsic.ai Although current explainable AI techniques have made significant progress toward enabling end-users to understand the why behind a prediction, to effectively build trust with an AI system we need to take the next step and make XAI tools interactive.

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