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. The post Adding Explainability to Clustering appeared first on Analytics Vidhya.

Explainability 388

Explainability Explainable AI Algorithm Data Science 388

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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Explainable AI Explainability AI AI 271

Unite.AI

MARCH 1, 2025

AI can identify these relationships with additional precision. A 2023 study developed a machine learning model that achieved up to 90% accuracy in determining whether mutations were harmful or benign. This AI use case helped biopharma companies deliver COVID-19 vaccines in record time.

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Unite.AI

DECEMBER 17, 2024

AI presents a new way of screening for financial crime risk. Machine learning models can be used to detect suspicious patterns based on a series of datasets that are in constant evolution. XAI is a process that enables humans to comprehend the output of an AI system and its underlying decision making.

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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

APRIL 3, 2025

However, AI and blockchain-empowered approaches could make people trust the healthcare sector, mainly in diagnosing areas like cardiovascular care. This research proposed an explainable AI (XAI) approach entangled with BCT that enhances healthcare interpretability and responsibility to cardiovascular health medical experts.

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Towards AI

FEBRUARY 3, 2024

(Left) Photo by Pawel Czerwinski on Unsplash U+007C (Right) Unsplash Image adjusted by the showcased algorithm Introduction It’s been a while since I created this package ‘easy-explain’ and published on Pypi. A few weeks ago, I needed an explainability algorithm for a YoloV8 model. The truth is, I couldn’t find anything.

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AI News

OCTOBER 8, 2024

As artificial intelligence systems increasingly permeate critical decision-making processes in our everyday lives, the integration of ethical frameworks into AI development is becoming a research priority. ” Bottom-up approach : A newer method that uses machine learning to extract rules from data.

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Artificial Intelligence Artificial Intelligence Explainability Big Data 319

IBM Journey to AI blog

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is machine learning? This post will dive deeper into the nuances of each field.

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Data Science Machine Learning Big Data Data Mining 175

Pickl AI

FEBRUARY 17, 2025

Summary: Machine Learning’s key features include automation, which reduces human involvement, and scalability, which handles massive data. Introduction: The Reality of Machine Learning Consider a healthcare organisation that implemented a Machine Learning model to predict patient outcomes based on historical data.

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Machine Learning Algorithm Explainability Data Quality 52

Towards AI

FEBRUARY 13, 2024

Author(s): Stavros Theocharis Originally published on Towards AI. 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. So, let’s import the libraries.

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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. We will then explore some techniques for building glass-box or explainable models.

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Explainable AI Explainability Neural Network AI 105

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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Explainable AI Explainability Neural Network Algorithm 107

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

JUNE 8, 2024

Recent advancements in machine learning have been actively used to improve the domain of healthcare. These AI models have shown great promise and even human capabilities in some cases, but there remains a critical need for explanations of what signals these models have learned.

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Machine Learning AI Modeling Explainability Computer Vision 128

IBM Journey to AI blog

AUGUST 9, 2024

What is predictive AI? Predictive AI blends statistical analysis with machine learning algorithms to find data patterns and forecast future outcomes. Conversely, predictive AI estimates are more explainable because they’re grounded on numbers and statistics.

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Marktechpost

APRIL 7, 2024

Global feature effects methods, such as Partial Dependence Plots (PDP) and SHAP Dependence Plots, have been commonly used to explain black-box models by showing the average effect of each feature on the model output. In conclusion, Effector offers a promising solution to the challenges of explainability in machine learning models.

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Machine Learning Python Explainability Explainable AI 130

AI Weekly

OCTOBER 3, 2024

bbc.com AI technology uncovers ancient secrets hidden in the Arabian Desert AI is helping archaeologists uncover ancient secrets in the vast Rub al-Khali desert. By leveraging advanced radar and machine learning, researchers can now detect hidden structures and broaden the reach of archaeological discovery.

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Robotics Artificial Intelligence Artificial Intelligence Explainability 264

Unite.AI

APRIL 9, 2024

Composite AI is a cutting-edge approach to holistically tackling complex business problems. These techniques include Machine Learning (ML), deep learning , Natural Language Processing (NLP) , Computer Vision (CV) , descriptive statistics, and knowledge graphs. Transparency is fundamental for responsible AI usage.

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Composite AI Explainability Neural Network Explainable AI 182

Unite.AI

DECEMBER 27, 2024

For instance, poorly curated datasets introduce inconsistencies that cascade through every layer of a machine learning pipeline. On the other hand, well-structured data allows AI systems to perform reliably even in edge-case scenarios , underscoring its role as the cornerstone of modern AI development.

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Towards AI

OCTOBER 19, 2024

Yet, for all their sophistication, they often can’t explain their choices — this lack of transparency isn’t just frustrating — it’s increasingly problematic as AI becomes more integrated into critical areas of our lives. What is Explainability AI (XAI)? It’s particularly useful in natural language processing [3].

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Explainability Explainable AI Natural Language Processing Prompt Engineer 105

Unite.AI

AUGUST 25, 2023

The logic that built and released the AI system involved identifying a purpose, identifying data, setting the priorities, creating models, setting up guidelines and guardrails for machine learning , and deciding when and how a human should intervene. Can focusing on Explainable AI (XAI) ever address this?

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Explainability Explainable AI AI AI 246

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

Marktechpost

MARCH 11, 2024

However, understanding their information-flow dynamics, learning mechanisms, and interoperability remains challenging, limiting their applicability in sensitive domains requiring explainability. These matrices are leveraged to develop class-agnostic and class-specific tools for explainable AI of Mamba models.

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Machine Learning Explainability Neural Network Computer Vision 135

DataRobot Blog

FEBRUARY 14, 2022

With any AI solution , you want it to be accurate. But just as important, you want it to be explainable. Explainability requirements continue after the model has been deployed and is making predictions. DataRobot offers end-to-end explainability to make sure models are transparent at all stages of their lifecycle.

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Explainable AI Explainability Machine Learning Data Drift 52

AI Weekly

OCTOBER 12, 2023

pitneybowes.com In The News AMD to acquire AI software startup in effort to catch Nvidia AMD said on Tuesday it plans to buy an artificial intelligence startup called Nod.ai nature.com Ethics The world's first real AI rules are coming soon. nature.com Ethics The world's first real AI rules are coming soon.

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Robotics Large Language Models Deep Learning Artificial Intelligence 264

Flipboard

FEBRUARY 14, 2025

Hemant Madaan, an expert in AI/ML and CEO of JumpGrowth, explores the ethical implications of advanced language models. Artificial intelligence (AI) has become a cornerstone of modern business operations, driving efficiencies and delivering insights across various sectors. However, as AI systems

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Explainable AI Explainability Algorithm Artificial Intelligence 128

Towards AI

JULY 24, 2024

Well, get ready because we’re about to embark on another exciting exploration of explainable AI, this time focusing on Generative AI. Before we dive into the world of explainability in GenAI, it’s worth noting that the tone of this article, like its predecessor, is intentionally casual and approachable.

Explainability 105

Explainability Generative AI Explainable AI Neural Network 105

ODSC - Open Data Science

FEBRUARY 13, 2023

With the rapid rise of machine learning in multiple industries, safety and security questions have arisen. Well according to our research, there is quite a lot going on in the world of machine learning safety and security. First are two techniques that tackle the question of why predictions are made and explain them.

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Machine Learning Explainability Data Science Deep Learning 98

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 123

Marktechpost

JUNE 4, 2024

This is a major barrier to the broader use of Machine Learning techniques in many domains. An emerging area of study called Explainable AI (XAI) has arisen to shed light on how DNNs make decisions in a way that humans can comprehend. If you like our work, you will love our newsletter.

Machine Learning 114

Machine Learning Neural Network Explainability Natural Language Processing 114

Towards AI

JULY 24, 2024

Well, get ready because we’re about to embark on another exciting exploration of explainable AI, this time focusing on Generative AI. Before we dive into the world of explainability in GenAI, it’s worth noting that the tone of this article, like its predecessor, is intentionally casual and approachable.

Explainability 98

Explainability Generative AI Explainable AI Neural Network 98

IBM Journey to AI blog

JUNE 26, 2023

Possibilities are growing that include assisting in writing articles, essays or emails; accessing summarized research; generating and brainstorming ideas; dynamic search with personalized recommendations for retail and travel; and explaining complicated topics for education and training. What is generative AI?

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Pickl AI

JANUARY 12, 2025

Introduction Are you struggling to decide between data-driven practices and AI-driven strategies for your business? Besides, there is a balance between the precision of traditional data analysis and the innovative potential of explainable artificial intelligence.

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Artificial Intelligence Artificial Intelligence Explainability Explainable AI 52

IBM Journey to AI blog

OCTOBER 16, 2023

An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML). It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. ” Are foundation models trustworthy? . ” Are foundation models trustworthy?

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TransOrg Analytics

FEBRUARY 11, 2025

As AI continues integrating into every aspect of society, the need for Explainable AI (XAI) becomes increasingly important. Understanding the AI Black Box Problem AI enables machines to mimic human intelligence by learning, reasoning, and making decisions. What is Explainable AI?

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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. A data fabric architecture offers transparency into policy orchestration, automation and AI management, while monitoring user personas and machine learning models.

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