Unite.AI

DECEMBER 27, 2024

Heres the thing no one talks about: the most sophisticated AI model in the world is useless without the right fuel. Data-centric AI flips the traditional script. Instead of obsessing over squeezing incremental gains out of model architectures, its about making the data do the heavy lifting.

Data Quality 130

Data Quality Data Drift Explainability Big Data 130

Unite.AI

JANUARY 23, 2025

Consequently, the foundational design of AI systems often fails to include the diversity of global cultures and languages, leaving vast regions underrepresented. Bias in AI typically can be categorized into algorithmic bias and data-driven bias. Explainable AI tools make spotting and correcting biases in real time easier.

Algorithm 111

Algorithm AI Developer AI Development AI 111

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.

Large Language Models 111

Large Language Models Neural Network AI AI 111

Unite.AI

MARCH 18, 2025

What are the key challenges AI teams face in sourcing large-scale public web data, and how does Bright Data address them? Scalability remains one of the biggest challenges for AI teams. Since AI models require massive amounts of data, efficient collection is no small task. This is not how things should be.

AI Modeling 147

AI Modeling Automation Explainable AI AI Chatbots 147

Pickl AI

JANUARY 12, 2025

Data forms the backbone of AI systems, feeding into the core input for machine learning algorithms to generate their predictions and insights. For instance, in retail, AI models can be generated using customer data to offer real-time personalised experiences and drive higher customer engagement, consequently resulting in more sales.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Explainability Explainable AI 52

Unite.AI

MAY 24, 2025

In some cases, the explanations might look logical but are not based on the actual steps the model used to reach its decision. Can We Trust Chain-of-Thought Anthropic tested whether CoT explanations really reflect how AI models make decisions. They studied four models, including Claude 3.5 Among these models, Claude 3.7

Explainability 176

Explainability Natural Language Processing Large Language Models Artificial Intelligence 176

AI News

JUNE 24, 2025

Google Cloud connections tie into Maps, databases, and AI models like Veo and Imagen. Tyler Bauer, VP for System Ambulatory Operations at UChicago Medicine, explains: “AI tools in healthcare must be adaptable to the complex and highly individualised needs of both patients and care teams.

Big Data 203

Big Data AI AI Automation 203

Unite.AI

JANUARY 20, 2025

Ensures Compliance : In industries with strict regulations, transparency is a must for explaining AI decisions and staying compliant. Helps Users Understand : Transparency makes AI easier to work with. These safeguards ensure your data stays secure and under your control while still giving your AI what it needs to perform.

Explainability 111

Explainability Explainable AI AI AI 111

AWS Machine Learning Blog

NOVEMBER 15, 2024

Robustness in AI systems makes sure model outputs are consistent and reliable under various conditions, including unexpected or adverse situations. A robust AI model maintains its functionality and delivers consistent and accurate outputs even when faced with incomplete or incorrect input data.

Responsible AI 111

Responsible AI Prompt Engineer Prompt Engineering AI 111

Flipboard

JUNE 23, 2025

After teaming up to mock AI boosters in their popular podcast, Mystery AI Hype Theater 3000 , they have distilled their insights into a book written for a general audience. They meet the unstoppable force of AI hype with immovable scepticism. Step one in this program is grasping how AI models work.

Large Language Models 176

Large Language Models Artificial Intelligence Artificial Intelligence Explainability 176

Pickl AI

JUNE 8, 2025

Summary: In 2025, data science evolves with trends like augmented analytics, IoT data explosion, advanced machine learning, automation, and explainable AI. Advanced AI and machine learning deepen data science capabilities and applications. Explainable AI ensures transparency, fairness, and trust in AI-driven decisions.

Data Science 52

Data Science Data Scientist Machine Learning Explainable AI 52

Unite.AI

FEBRUARY 25, 2025

The company has built a cloud-scale automated reasoning system, enabling organizations to harness mathematical logic for AI reasoning. With a strong emphasis on developing trustworthy and explainable AI , Imandras technology is relied upon by researchers, corporations, and government agencies worldwide.

Automation 100

Automation Neural Network Explainability Algorithm 100

ODSC - Open Data Science

JANUARY 29, 2025

It is a critical aspect of making AI systems more effective in real-world applications as it helps bridge the gap between humans and machines through contextual understanding. Grounded AI models have improved accuracy and reliability, enabling them to better interpret the nuances of human language and behavior.

Robotics 40

Robotics Explainable AI Data Scientist Explainability 40

Unite.AI

MARCH 5, 2025

He currently serves as the Chief Executive Officer of Carrington Labs , a leading provider of explainable AI-powered credit risk scoring and lending solutions. How does your AI integrate open banking transaction data to provide a fuller picture of an applicants creditworthiness?

Explainability 147

Explainability Big Data AI Modeling Automation 147

Unite.AI

MARCH 1, 2025

In addition to hallucinations, machine learning models tend to exaggerate human biases. Because of these omissions, melanoma-detecting AI models are only half as accurate when diagnosing Black patients compared to white populations. Explainable AI models will provide a positive step forward.

Machine Learning 175

Machine Learning AI AI Artificial Intelligence 175

How to Learn Machine Learning

APRIL 17, 2025

Explainable and Ethical AI As AI continues to influence everything from recruitment to healthcare, transparency and accountability are crucial. Explainable AI (XAI) is becoming a top priority in 2025. Why It Matters: Organizations want to understand why an AI model made a decision.

ML 84

ML Machine Learning Data Scientist Explainability 84

ODSC - Open Data Science

JUNE 19, 2025

Video of the Week: Rethinking Healthcare with AI: Solving Old Mysteries with Modern Tools by Regina Barzilay, PhD In this talk, Regina Barzilar will explain how AI models make their predictions and illustrate it with specific examples in the area of risk assessment and cancer diagnosis.

Explainability 52

Explainability OpenAI Explainable AI AI 52

Ehud Reiter

JUNE 24, 2025

For more information, see Adarsa’s Arxiv paper, which will be presented at an AI and Healthcare conference in September. Adarsa is working on explainable artificial intelligence (XAI), focusing on tools that help end users (not model developers). The world also changes, which impacts model validity.

AI Modeling 111

AI Modeling Explainability Explainable AI AI 111

How to Learn Machine Learning

APRIL 4, 2025

AI will help to strengthen defences, cybercriminal departments will utilize AI to work against phishing and deepfake attacks. Explainable AI (XAI): As AI is expanding rapidly, there is a high demand for transparency and trust in AI-driven decisions. Thus, explainable AI (XAI) comes into the picture.

Artificial Intelligence 59

Artificial Intelligence Artificial Intelligence Automation Explainable AI 59

ODSC - Open Data Science

APRIL 9, 2025

Not only do graphs enhance the performance of AI models, but they also offer a powerful lens for domain-specific adaptation and fairness-aware AI. Looking Ahead: Multimodal Graphs and Explainability As AI continues to evolve, so too will graphs. Meanwhile, graphs are proving vital in explainable AI and fairness.

Explainability 52

Explainability Natural Language Processing AI AI 52

AI Weekly

MARCH 20, 2025

mit.edu Nvidia says the age of generalist robotics is here At GTC 2025, Nvidia demonstrated 1Xs NEO Gamma humanoid robot running its GR00T N1 foundation model. theverge.com Google, OpenAI, Meta and Amazon turn to robotics AI companies are developing software and hardware for robots, whether for industrial or domestic use.

Robotics 148

Robotics Artificial Intelligence Artificial Intelligence Explainability 148

Analytics Vidhya

OCTOBER 25, 2023

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. Now, different models require different explanation methods, depending on the audience.

Explainable AI 319

Explainable AI Explainability Machine Learning AI 319

Analytics Vidhya

AUGUST 2, 2022

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 291

Explainable AI Explainability Data Science ML 291

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.

Explainable AI 260

Explainable AI Explainability Machine Learning Computer Scientist 260

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?

Explainable AI 94

Explainable AI Explainability Data Scientist Data Mining 94

Unite.AI

JUNE 26, 2023

At the root of AI mistakes like these is the nature of AI models themselves. Most AI today use “black box” logic, meaning no one can see how the algorithm makes decisions. Black box AI lack transparency, leading to risks like logic bias , discrimination and inaccurate results.

Black Box AI 292

Black Box AI Explainable AI Explainability Algorithm 292

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 136

Explainable AI Explainability Algorithm Artificial Intelligence 136

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.

Explainable AI 100

Explainable AI Explainability Computer Vision Large Language Models 100

IBM Journey to AI blog

OCTOBER 12, 2023

The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly. Here’s what’s involved in making that happen.

Data Scientist 234

Data Scientist Metadata Responsible AI Explainability 234

Towards AI

AUGUST 31, 2023

Last Updated on September 1, 2023 by Editorial Team Author(s): Louis Bouchard Originally published on Towards AI. An introduction to explainable AI This member-only story is on us. Powerful artificial intelligence models like DALLE or ChatGPT are super useful and fun to use. Upgrade to access all of Medium.

AI Modeling 124

AI Modeling Explainability Explainable AI Artificial Intelligence 124

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

Responsible AI 278

Responsible AI Generative AI AI AI 278

AI News

MARCH 7, 2024

Indeed, as Anthropic prompt engineer Alex Albert pointed out, during the testing phase of Claude 3 Opus, the most potent LLM (large language model) variant, the model exhibited signs of awareness that it was being evaluated. In addition, editorial guidance on AI has been updated to note that ‘all AI usage has active human oversight.’

Prompt Engineer 330

Prompt Engineer Prompt Engineering OpenAI Large Language Models 330

IBM Journey to AI blog

AUGUST 9, 2024

Generative AI (gen AI) is artificial intelligence that responds to a user’s prompt or request with generated original content, such as audio, images, software code, text or video. Gen AI models are trained on massive volumes of raw data.

Generative AI 301

Generative AI Explainability AI AI 301

Marktechpost

JUNE 8, 2024

Despite performing remarkably well on various tasks, these models are often unable to provide a clear understanding of how specific visual changes affect ML decisions. In conclusion, the proposed framework enhances the explainability of AI models in medical imaging. If you like our work, you will love our newsletter.

Machine Learning 125

Machine Learning AI Modeling Explainability Computer Vision 125

Unite.AI

SEPTEMBER 23, 2024

Critics point out that the complexity of biological systems far exceeds what current AI models can fully comprehend. While generative AI is excellent at data-driven prediction, it struggles to navigate the uncertainties and nuances that arise in human biology.

Generative AI 290

Generative AI Data Quality AI AI 290

Dlabs.ai

AUGUST 16, 2022

One of the major hurdles to AI adoption is that people struggle to understand how AI models work. This is the challenge that explainable AI solves. Explainable artificial intelligence shows how a model arrives at a conclusion. What is explainable AI? Let’s begin.

Explainability 52

Explainability Explainable AI AI Modeling Artificial Intelligence 52

IBM Journey to AI blog

JANUARY 25, 2024

How might this insight affect evaluation of AI models? Model (in)accuracy To quote a common aphorism, all models are wrong. This holds true in the areas of statistics, science and AI. Models created with a lack of domain expertise can lead to erroneous outputs. How are you making your model explainable?

Algorithm 247

Algorithm Explainability NLP AI 247