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. Imagine an AI predicting home prices.

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Unite.AI

JULY 7, 2023

And if these applications are not expressive enough to meet explainability requirements, they may be rendered useless regardless of their overall efficacy. Based on our findings, we have determined that Explainable AI using expressive Boolean formulas is both appropriate and desirable for those use cases that mandate further explainability.

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

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AI News

MARCH 5, 2025

Last week, leading experts from academia, industry, and regulatory backgrounds gathered to discuss the legal and commercial implications of AI explainability, with a particular focus on its impact in retail. “AI explainability means understanding why a specific object or change was detected.

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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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Marktechpost

OCTOBER 31, 2024

However, explainability is an issue as they are ‘black boxes,’ so to say, hiding their inner working. 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. Check out the Paper.

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Unite.AI

SEPTEMBER 13, 2023

Increasingly though, large datasets and the muddled pathways by which AI models generate their outputs are obscuring the explainability that hospitals and healthcare providers require to trace and prevent potential inaccuracies. In this context, explainability refers to the ability to understand any given LLM’s logic pathways.

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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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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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Unite.AI

MARCH 6, 2025

This success, however, has come at a cost, one that could have serious implications for the future of AI development. The Language Challenge DeepSeek R1 has introduced a novel training method which instead of explaining its reasoning in a way humans can understand, reward the models solely for providing correct answers.

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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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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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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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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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Unite.AI

JANUARY 28, 2025

This shift has increased competition among major AI companies, including DeepSeek, OpenAI, Google DeepMind , and Anthropic. Each brings unique benefits to the AI domain. DeepSeek focuses on modular and explainable AI, making it ideal for healthcare and finance industries where precision and transparency are vital.

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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

Marktechpost

OCTOBER 6, 2024

To address these challenges, researchers are exploring Multimodal Large Language Models (M-LLMs) for more explainable IFDL, enabling clearer identification and localization of manipulated regions. Although these methods achieve satisfactory performance, they need more explainability and help to generalize across different datasets.

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NVIDIA

MAY 1, 2024

enhances the performance of AI systems across various metrics like accuracy, explainability and fairness. In this episode of the NVIDIA AI Podcast , recorded live at GTC 2024, host Noah Kravitz sits down with Adam Wenchel, cofounder and CEO of Arthur, to discuss the challenges and opportunities of deploying generative AI.

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Unite.AI

JANUARY 1, 2025

This collaborative model promotes the AI ecosystem, reducing reliance on narrow datasets. Using explainable AI systems and implementing regular checks can help identify and correct biases. For example, hugging Face s Datasets Repository allows researchers to access and share diverse data.

AI 182

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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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AI News

OCTOBER 8, 2024

While more flexible, it lacks transparency: “The problem with this approach is that we don’t really know what the system learns, and it’s very difficult to explain its decision,” Canavotto notes. Kameswaran suggests developing audit tools for advocacy groups to assess AI hiring platforms for potential discrimination.

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Unite.AI

MARCH 1, 2025

Where AI Gene Editing Can Go From Here The future of AI gene editing hinges on how developers and end users can address the obstacles while leaning into the benefits. Explainable AI models will provide a positive step forward. Reliability issues like these can also be tricky to spot, further complicating the practice.

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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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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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Unite.AI

JUNE 26, 2023

When the patient independently uses an AI tool, an accident can be their fault. AI gone wrong isn’t always due to a technical error. For instance, maybe a doctor thoroughly explains an AI tool to their patient, but they ignore safety instructions or input incorrect data.

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AI News

MAY 29, 2024

In an interview ahead of the Intelligent Automation Conference , Ben Ball, Senior Director of Product Marketing at IBM , shed light on the tech giant’s latest AI endeavours and its groundbreaking new Concert product. IBM’s current focal point in AI research and development lies in applying it to technology operations.

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Unite.AI

JANUARY 1, 2025

For example, an AI model trained on biased or flawed data could disproportionately reject loan applications from certain demographic groups, potentially exposing banks to reputational risks, lawsuits, regulatory action, or a mix of the three.

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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. They need explainability to be able to push back in their own defense.

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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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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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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

Unite.AI

DECEMBER 27, 2024

Another promising development is the rise of explainable data pipelines. Just as explainable AI provides transparency into model decision-making, tools for explainable data pipelines will illuminate how data transformations influence outcomes.

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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

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Unite.AI

DECEMBER 19, 2024

By leveraging multimodal AI, financial institutions can anticipate customer needs, proactively address issues, and deliver tailored financial advice, thereby strengthening customer relationships and gaining a competitive edge in the market.

Automation 147

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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.

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Explainability Generative AI Explainable AI Neural Network 98

Unite.AI

FEBRUARY 25, 2025

As AI systems increasingly power mission-critical applications across industries such as finance, defense, healthcare, and autonomous systems, the demand for trustworthy, explainable, and mathematically rigorous reasoning has never been higher. Raising the Bar in AI Reasoning Denis Ignatovich, Co-founder and Co-CEO of Imandra Inc.,

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