Unite.AI

JULY 7, 2023

To address this conundrum, our team at the Fidelity Center for Applied Technology (FCAT) — in collaboration with the Amazon Quantum Solutions Lab — has proposed and implemented an interpretable machine learning model for Explainable AI (XAI) based on expressive Boolean formulas.

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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

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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Unite.AI

DECEMBER 19, 2024

Thats why explainability is such a key issue. People want to know how AI systems work, why they make certain decisions, and what data they use. The more we can explain AI, the easier it is to trust and use it. Large Language Models (LLMs) are changing how we interact with AI. Lets dive into how theyre doing this.

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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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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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Marktechpost

AUGUST 7, 2024

The Role of Explainable AI in In Vitro Diagnostics Under European Regulations: AI is increasingly critical in healthcare, especially in vitro diagnostics (IVD). The European IVDR recognizes software, including AI and ML algorithms, as part of IVDs.

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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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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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Explainable AI Explainability Data Scientist Data Mining 94

Flipboard

DECEMBER 3, 2024

When you visit a hospital, artificial intelligence (AI) models can assist doctors by analysing medical images or predicting patient outcomes based on …

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Explainable AI Explainability Algorithm Artificial Intelligence 145

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

OCTOBER 31, 2024

It elicits the need to design models that allow researchers to understand how AI predictions are achieved so they can trust them in decisions involving materials discovery. XElemNet, the proposed solution, employs explainable AI techniques, particularly layer-wise relevance propagation (LRP), and integrates them into ElemNet.

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Neural Network Explainable AI Explainability Machine Learning 87

Marktechpost

OCTOBER 6, 2024

Don’t Forget to join our 50k+ ML SubReddit Interested in promoting your company, product, service, or event to over 1 Million AI developers and researchers? The post FakeShield: An Explainable AI Framework for Universal Image Forgery Detection and Localization Using Multimodal Large Language Models appeared first on MarkTechPost.

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NVIDIA

MAY 1, 2024

Their conversation spans a range of topics, including AI bias, the observability of AI systems and the practical implications of AI in business. The AI Podcast · Explainable AI: Insights from Arthur AI’s Adam Wenchel – Ep. 02:31: Real-world use cases of LLMs and generative AI in enterprises.

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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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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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AI News

OCTOBER 8, 2024

So we would like to generalise some of these algorithms and then have a system that can more generally extract information grounded in legal reasoning and normative reasoning,” she explains. Kameswaran suggests developing audit tools for advocacy groups to assess AI hiring platforms for potential discrimination.

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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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Viso.ai

FEBRUARY 12, 2024

True to its name, Explainable AI refers to the tools and methods that explain AI systems and how they arrive at a certain output. Artificial Intelligence (AI) models assist across various domains, from regression-based forecasting models to complex object detection algorithms in deep learning.

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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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Unite.AI

APRIL 9, 2024

As organizations strive for responsible and effective AI, Composite AI stands at the forefront, bridging the gap between complexity and clarity. The Need for Explainability The demand for Explainable AI arises from the opacity of AI systems, which creates a significant trust gap between users and these algorithms.

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AI Weekly

OCTOBER 3, 2024

At present, we’re in the midst of a furore about the much-abused term ‘AI’, and time will tell whether this particular storm will be seen as a teacup resident. plos.org Sponsor Personalize your newsletter about AI Choose only the topics you care about, get the latest insights vetted from the top experts online!

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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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Unite.AI

JUNE 18, 2024

Looking further ahead, one critical area of focus is Explainable AI , which aims to make AI decisions transparent and understandable. This transparency is necessary to build trust in AI systems and ensure they are used responsibly.

Robotics 278

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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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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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Prompt Engineer Prompt Engineering OpenAI Large Language Models 303

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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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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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 …

Python 145

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IBM Journey to AI blog

OCTOBER 12, 2023

Explainable AI — Explainable AI is achieved when an organization can confidently and clearly state what data an AI model used to perform its tasks. Key to explainable AI is the ability to automatically compile information on a model to better explain its analytics decision-making.

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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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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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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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Unite.AI

DECEMBER 17, 2024

Humans can validate automated decisions by, for example, interpreting the reasoning behind a flagged transaction, making it explainable and defensible to regulators. Financial institutions are also under increasing pressure to use Explainable AI (XAI) tools to make AI-driven decisions understandable to regulators and auditors.

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IBM Journey to AI blog

APRIL 11, 2023

It is important to choose an auditor that specializes in HR or Talent and trustworthy, explainable AI, and has RAII Certification and DAA digital accreditation. Our organization is ready to assist companies in becoming data-driven and addressing compliance. If you need any help, feel free to contact us.

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