Explainable AI and Machine Learning - Artificial Intelligence Zone

Beginner’s Guide to Machine Learning Explainability

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.

Machine Learning

Machine Learning Explainability Explainable AI Data Science

Explainable AI: Demystifying the Black Box Models

Analytics Vidhya

OCTOBER 25, 2023

Introduction In today’s data-driven world, machine learning is playing an increasingly prominent role in various industries. 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.

Explainable AI

Explainable AI Explainability Machine Learning AI

Explain How Your Model Works Using Explainable AI

Analytics Vidhya

JANUARY 7, 2021

ArticleVideos Can you explain how your model works? The post Explain How Your Model Works Using Explainable AI appeared first on Analytics Vidhya. Artificial intelligence techniques are used to solve real-world problems. We get the data, perform.

Explainability

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How Large Language Models Are Unveiling the Mystery of ‘Blackbox’ AI

Unite.AI

DECEMBER 19, 2024

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. Researchers are using this ability to turn LLMs into explainable AI tools.

Large Language Models

Large Language Models Explainable AI Explainability Conversational AI

Explainable AI Using Expressive Boolean Formulas

Unite.AI

JULY 7, 2023

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.

Explainable AI

Explainable AI Explainability Machine Learning Computer Scientist

XElemNet: A Machine Learning Framework that Applies a Suite of Explainable AI (XAI) for Deep Neural Networks in Materials Science

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.

Neural Network

Neural Network Explainable AI Explainability Machine Learning

Explainable AI using OmniXAI

Analytics Vidhya

AUGUST 2, 2022

The post Explainable AI using OmniXAI appeared first on 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 […].

Explainable AI

Explainable AI Explainability Data Science ML

What are Explainability AI Techniques? Why do We Need it?

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.

Explainable AI

Explainable AI Explainability AI AI

The Role of AI in Gene Editing

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.

Machine Learning

Machine Learning AI AI Explainable AI

Data science vs. machine learning: What’s the difference?

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.

Data Science

Data Science Machine Learning Big Data Data Mining

AI and Financial Crime Prevention: Why Banks Need a Balanced Approach

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.

Automation

Automation AI Explainability AI

Understanding Machine Learning Challenges: Insights for Professionals

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.

Machine Learning

Machine Learning Algorithm Explainability Data Quality

Top 10 Explainable AI (XAI) Frameworks

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.

Explainable AI

Explainable AI Explainability Neural Network Data Scientist

Effector: A Python-based Machine Learning Library Dedicated to Regional Feature Effects

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. By doing so, Effector tries to reduce aggregation bias and increase the interpretability and trustworthiness of machine learning models.

Machine Learning

Machine Learning Python Explainability Explainable AI

Google AI Proposes a Machine Learning Framework for Understanding AI Models in Medical Imaging

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.

Machine Learning

Machine Learning AI Modeling Explainability Computer Vision

Bridging code and conscience: UMD’s quest for ethical and inclusive AI

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.

Artificial Intelligence

Artificial Intelligence Artificial Intelligence Explainability Big Data

Adding Explainability to Clustering

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.

Explainability

Explainability Explainable AI Algorithm Data Science

Five Important Trends in Machine Learning Safety & Security

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. Here are a few that are raising eyebrows. There are a number of methods to accomplish this.

Machine Learning

Machine Learning Explainability Data Science Deep Learning

This Machine Learning Research from Tel Aviv University Reveals a Significant Link between Mamba and Self-Attention Layers

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.

Machine Learning

Machine Learning Explainability Neural Network Computer Vision

easy-explain: Explainable AI for YoloV8

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.

Explainability

Explainability Explainable AI Neural Network Algorithm

Navigating Explainable AI in In Vitro Diagnostics: Compliance and Transparency Under European Regulations

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.

Explainable AI

Explainable AI Explainability Neural Network Algorithm

Explainable AI

Towards AI

NOVEMBER 1, 2023

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

Explainable AI

Explainable AI Explainability AI AI

Explainable AI: Thinking Like a Machine

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.

Explainable AI

Explainable AI Explainability Neural Network AI

AI News Weekly - Issue #406: Sam Altman : 'Superintelligent' AI Is Only a Few Thousand Days Away - Oct 3rd 2024

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.

Robotics

Robotics Artificial Intelligence Artificial Intelligence Explainability

CoSy (Concept Synthesis): A Novel Architecture-Agnostic Machine Learning Framework to Evaluate the Quality of Textual Explanations for Latent Neurons

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

Machine Learning Neural Network Explainability Natural Language Processing

easy-explain: Explainable AI with GradCam

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.

Explainability

Explainability Explainable AI AI AI

15 Artificial Intelligence (AI) And Machine Learning-Related Subreddit Communities in 2023

Marktechpost

AUGUST 24, 2023

In the fast-paced world of Artificial Intelligence (AI) and Machine Learning, staying updated with the latest trends, breakthroughs, and discussions is crucial. Here’s our curated list of the top AI and Machine Learning-related subreddits to follow in 2023 to keep you in the loop. With over 2.5

Artificial Intelligence

Artificial Intelligence Artificial Intelligence Machine Learning Computer Vision

Enhancing AI Transparency and Trust with Composite AI

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.

Composite AI

Composite AI Explainability Explainable AI Black Box AI

DataRobot Explainable AI: Machine Learning Untangled

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.

Explainable AI

Explainable AI Explainability Machine Learning Data Drift

AI News Weekly - Issue #354: The top 100 people in A.I. - Oct 12th 2023

AI Weekly

OCTOBER 12, 2023

techspot.com Applied use cases Study employs deep learning to explain extreme events Identifying the underlying cause of extreme events such as floods, heavy downpours or tornados is immensely difficult and can take a concerted effort by scientists over several decades to arrive at feasible physical explanations.

Robotics

Robotics Large Language Models Deep Learning Artificial Intelligence

How Quality Data Fuels Superior Model Performance

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.

Data Quality

Data Quality Data Drift Explainability Big Data

Generative AI vs. predictive AI: What’s the difference?

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. ” The same holds true when deciding whether to use generative AI or predictive AI.

Generative AI

Generative AI Explainability AI AI

Global executives and AI strategy for HR: How to tackle bias in algorithmic AI

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.

AI Strategy

AI Strategy Algorithm Automation AI

Opening the black box: how ‘explainable AI’ can help us understand how algorithms work

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 …

Explainable AI

Explainable AI Explainability Algorithm Artificial Intelligence

Juliette Powell & Art Kleiner, Authors of the The AI Dilemma – Interview Series

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?

Explainability

Explainability Explainable AI AI AI

The Rise Of Explainable AI: Bringing Transparency And Trust To Algorithmic Decisions

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

Explainable AI

Explainable AI Explainability Algorithm Artificial Intelligence

Microsoft and Apple Step Back from OpenAI’s Board Amid Antitrust Concerns

Unite.AI

AUGUST 13, 2024

Although Apple's AI enhancements have significantly improved Siri and machine learning capabilities, the tech giant prefers to avoid possible regulatory issues. Broader Industry Trends Regulatory authorities are becoming increasingly vigilant about scrutinizing mergers and acquisitions (M&A) in the AI domain.

OpenAI

OpenAI Explainable AI Artificial Intelligence Artificial Intelligence

What is Data-driven vs AI-driven Practices?

Pickl AI

JANUARY 12, 2025

Define AI-driven Practices AI-driven practices are centred on processing data, identifying trends and patterns, making forecasts, and, most importantly, requiring minimum human intervention. Data forms the backbone of AI systems, feeding into the core input for machine learning algorithms to generate their predictions and insights.

Artificial Intelligence

Artificial Intelligence Artificial Intelligence Explainability Explainable AI

How to responsibly scale business-ready generative AI

IBM Journey to AI blog

JUNE 26, 2023

It’s like having a conversation with a very smart machine. What is generative AI? Generative AI uses an advanced form of machine learning algorithms that takes users prompts and uses natural language processing (NLP) to generate answers to almost any question asked. What is watsonx.governance?

Generative AI

Generative AI Explainability Explainable AI Natural Language Processing

Top 5 Machine Learning Trends to Watch in 2024

How to Learn Machine Learning

JUNE 9, 2024

The thought of machine learning and AI will definitely pop into your mind when the conversation is about emerging technologies. Today, we see tools and systems with machine-learning capabilities in almost every industry. Finance institutions are using machine learning to overcome healthcare fraud challenges.

Machine Learning

Machine Learning Explainable AI ML Explainability

Is this legal? Lawyer explains AI image generation and copyright

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 …

Explainable AI

Explainable AI Explainability AI AI

Explainable AI: Shedding Light on AI Decision-Making

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?

Explainable AI

Explainable AI Explainability Convolutional Neural Networks Neural Network

Preparing for the EU AI Act: Getting governance right

IBM Journey to AI blog

FEBRUARY 8, 2024

In addition, stakeholders from corporate boards to consumers are prioritizing trust, transparency, fairness and accountability when it comes to AI. ‘Break open the black box’ with AI governance The post Preparing for the EU AI Act: Getting governance right appeared first on IBM Blog.

Artificial Intelligence

Artificial Intelligence Artificial Intelligence AI AI

US Open heralds new era of fan engagement with watsonx and generative AI

IBM Journey to AI blog

AUGUST 17, 2023

This year, the USTA is using watsonx , IBM’s new AI and data platform for business. Bringing together traditional machine learning and generative AI with a family of enterprise-grade, IBM-trained foundation models, watsonx allows the USTA to deliver fan-pleasing, AI-driven features much more quickly.

Generative AI

Generative AI Metadata AI AI

Beginner’s Guide to Machine Learning Explainability

Explainable AI: Demystifying the Black Box Models

Webinars

Trending Sources

Explain How Your Model Works Using Explainable AI

Webinars

How Large Language Models Are Unveiling the Mystery of ‘Blackbox’ AI

Explainable AI Using Expressive Boolean Formulas

XElemNet: A Machine Learning Framework that Applies a Suite of Explainable AI (XAI) for Deep Neural Networks in Materials Science

Explainable AI using OmniXAI

What are Explainability AI Techniques? Why do We Need it?

The Role of AI in Gene Editing

Data science vs. machine learning: What’s the difference?

AI and Financial Crime Prevention: Why Banks Need a Balanced Approach

Understanding Machine Learning Challenges: Insights for Professionals

Top 10 Explainable AI (XAI) Frameworks

Effector: A Python-based Machine Learning Library Dedicated to Regional Feature Effects

Google AI Proposes a Machine Learning Framework for Understanding AI Models in Medical Imaging

Bridging code and conscience: UMD’s quest for ethical and inclusive AI

Adding Explainability to Clustering

Five Important Trends in Machine Learning Safety & Security

This Machine Learning Research from Tel Aviv University Reveals a Significant Link between Mamba and Self-Attention Layers

easy-explain: Explainable AI for YoloV8

Navigating Explainable AI in In Vitro Diagnostics: Compliance and Transparency Under European Regulations

Explainable AI

Explainable AI: Thinking Like a Machine

AI News Weekly - Issue #406: Sam Altman : 'Superintelligent' AI Is Only a Few Thousand Days Away - Oct 3rd 2024

CoSy (Concept Synthesis): A Novel Architecture-Agnostic Machine Learning Framework to Evaluate the Quality of Textual Explanations for Latent Neurons

easy-explain: Explainable AI with GradCam

15 Artificial Intelligence (AI) And Machine Learning-Related Subreddit Communities in 2023

Enhancing AI Transparency and Trust with Composite AI

DataRobot Explainable AI: Machine Learning Untangled

AI News Weekly - Issue #354: The top 100 people in A.I. - Oct 12th 2023

How Quality Data Fuels Superior Model Performance

Generative AI vs. predictive AI: What’s the difference?

Global executives and AI strategy for HR: How to tackle bias in algorithmic AI

Opening the black box: how ‘explainable AI’ can help us understand how algorithms work

Juliette Powell & Art Kleiner, Authors of the The AI Dilemma – Interview Series

The Rise Of Explainable AI: Bringing Transparency And Trust To Algorithmic Decisions

Microsoft and Apple Step Back from OpenAI’s Board Amid Antitrust Concerns

What is Data-driven vs AI-driven Practices?

How to responsibly scale business-ready generative AI

Top 5 Machine Learning Trends to Watch in 2024

Is this legal? Lawyer explains AI image generation and copyright

Explainable AI: Shedding Light on AI Decision-Making

Preparing for the EU AI Act: Getting governance right

US Open heralds new era of fan engagement with watsonx and generative AI

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