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 […].

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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.

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Analytics Vidhya

MARCH 14, 2023

Introduction When we talk about AI quality, what do we mean and understand? AI quality has been the backbone in terms of values for the organization. The quality of AI is what matters most and is one of the vital causes of the failure of any business or organization. Why do We Need it?

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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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Unite.AI

DECEMBER 17, 2024

AI is a two-sided coin for banks: while its unlocking many possibilities for more efficient operations, it can also pose external and internal risks. In the US alone, generative AI is expected to accelerate fraud losses to an annual growth rate of 32%, reaching US$40 billion by 2027, according to a recent report by Deloitte.

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Unite.AI

JANUARY 1, 2025

AI is reshaping the world, from transforming healthcare to reforming education. Data is at the centre of this revolutionthe fuel that powers every AI model. In AI, relying on uniform datasets creates rigid, biased, and often unreliable models. Facial recognition is a well-documented example of data monoculture in AI.

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Unite.AI

MARCH 1, 2025

In these fields, gene editing is a particularly promising use case for AI. AI could be the next big step. How AI Is Changing Gene Editing Researchers have already begun experimenting with AI in gene research and editing. AI can identify these relationships with additional precision.

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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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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. The panel dissociation led by Prof.

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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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Unite.AI

JANUARY 28, 2025

Artificial Intelligence (AI) transforms how we solve problems and make decisions. With the introduction of reasoning models, AI systems have progressed beyond merely executing instructions to thinking critically, adapting to new scenarios, and handling complex tasks. Each brings unique benefits to the AI domain.

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Unite.AI

JANUARY 1, 2025

AI has become ubiquitous. In just the last few years, AI has grown from an emerging fringe technology for highly-specialized use cases to something easily accessible through any connected device. This has translated into quick, almost feverish adoption of AI systems into core business functions and applications for consumer use.

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Marktechpost

APRIL 24, 2024

The increasing complexity of AI systems, particularly with the rise of opaque models like Deep Neural Networks (DNNs), has highlighted the need for transparency in decision-making processes. ELI5 is a Python package that helps debug machine learning classifiers and explain their predictions. MAIF Data Scientists developed Shapash.

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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. She is tackling a fundamental question: How can we imbue AI systems with normative understanding?

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Unite.AI

DECEMBER 19, 2024

Another year, another investment in artificial intelligence (AI). Better Analysis Before Taking the Plunge With more emphasis on improved ROI, businesses will be turning to AI itself to ensure they are spending wisely. The AI-First Era Renews Interest in BPM A new golden age of business process management (BPM) is on the horizon.

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Towards AI

MARCH 17, 2024

Last Updated on March 18, 2024 by Editorial Team Author(s): Joseph George Lewis Originally published on Towards AI. Photo by Growtika on Unsplash Everyone knows AI is experiencing an explosion of media coverage, research, and public focus. Alongside this, there is a second boom in XAI or Explainable AI. 68 for CNN, 0.52–54

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Unite.AI

JUNE 26, 2023

Who is responsible when AI mistakes in healthcare cause accidents, injuries or worse? Depending on the situation, it could be the AI developer, a healthcare professional or even the patient. Liability is an increasingly complex and serious concern as AI becomes more common in healthcare. AI Gone Wrong: Who’s to Blame?

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Towards AI

FEBRUARY 3, 2024

Author(s): Stavros Theocharis Originally published on Towards AI. 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. link] Join thousands of data leaders on the AI newsletter.

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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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AI Weekly

OCTOBER 3, 2024

Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co In the News Sam Altman : 'Superintelligent' AI Is Only a Few Thousand Days Away Altman predicts that with AI in the future, "We will be able to do things that would have seemed like magic to our grandparents."

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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.

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Unite.AI

MARCH 6, 2025

Renowned for its ability to efficiently tackle complex reasoning tasks, R1 has attracted significant attention from the AI research community, Silicon Valley , Wall Street , and the media. Yet, beneath its impressive capabilities lies a concerning trend that could redefine the future of AI.

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AI News

MARCH 7, 2024

If a week is traditionally a long time in politics, it is a yawning chasm when it comes to AI. But are the ethical implications of AI technology being left behind by this fast pace? Stability AI, in previewing Stable Diffusion 3, noted that the company believed in safe, responsible AI practices.

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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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Unite.AI

JANUARY 23, 2025

An AI assistant gives an irrelevant or confusing response to a simple question, revealing a significant issue as it struggles to understand cultural nuances or language patterns outside its training. This scenario is typical for billions of people who depend on AI for essential services like healthcare, education, or job support.

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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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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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IBM Journey to AI blog

AUGUST 9, 2024

Many generative AI tools seem to possess the power of prediction. Conversational AI chatbots like ChatGPT can suggest the next verse in a song or poem. But generative AI is not predictive AI. But generative AI is not predictive AI. What is generative AI? What is predictive AI?

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Unite.AI

JUNE 18, 2024

This fascinating fusion of creativity and automation, powered by Generative AI , is not a dream anymore; it is reshaping our future in significant ways. Universities, research labs, and tech giants are dedicating substantial resources to Generative AI and robotics. Interest in this field is growing rapidly.

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IBM Journey to AI blog

APRIL 11, 2023

Read the AI governance e-book Step one – Evaluate To have their hiring and promotion ecosystems evaluated, organizations should take an active approach by educating its stakeholders on the importance of this process. To prepare for this shift, some organizations are developing a yearly evaluation, mitigation, and review process.

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Unite.AI

OCTOBER 20, 2023

AI models in production. Today, seven in 10 companies are experimenting with generative AI, meaning that the number of AI models in production will skyrocket over the coming years. As a result, industry discussions around responsible AI have taken on greater urgency. In 2022, companies had an average of 3.8

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Unite.AI

AUGUST 25, 2023

The AI Dilemma is written by Juliette Powell & Art Kleiner. Juliette identifies the patterns and practices of successful business leaders who bank on ethical AI and data to win. What initially inspired you to write “The AI Dilemma”? Juliette went to Columbia in part to study the limits and possibilities of regulation of AI.

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Unite.AI

NOVEMBER 22, 2024

Artificial Intelligence (AI) is making its way into critical industries like healthcare, law, and employment, where its decisions have significant impacts. However, the complexity of advanced AI models, particularly large language models (LLMs), makes it difficult to understand how they arrive at those decisions.

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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

APRIL 9, 2024

The adoption of Artificial Intelligence (AI) has increased rapidly across domains such as healthcare, finance, and legal systems. However, this surge in AI usage has raised concerns about transparency and accountability. Composite AI is a cutting-edge approach to holistically tackling complex business problems.

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Marktechpost

OCTOBER 6, 2024

The rapid advancement of generative AI has made image manipulation easier, complicating the detection of tampered content. 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? If you like our work, you will love our newsletter.

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Unite.AI

SEPTEMBER 23, 2024

Since Insilico Medicine developed a drug for idiopathic pulmonary fibrosis (IPF) using generative AI, there's been a growing excitement about how this technology could change drug discovery. Traditional methods are slow and expensive , so the idea that AI could speed things up has caught the attention of the pharmaceutical industry.

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