Unite.AI

MARCH 20, 2025

Even AI-powered customer service tools can show bias, offering different levels of assistance based on a customers name or speech pattern. Lack of Transparency and Explainability Many AI models operate as “black boxes,” making their decision-making processes unclear.

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Algorithm AI AI Explainability 157

Unite.AI

JANUARY 1, 2025

Similarly, in the United States, regulatory oversight from bodies such as the Federal Reserve and the Consumer Financial Protection Bureau (CFPB) means banks must navigate complex privacy rules when deploying AI models. A responsible approach to AI development is paramount to fully capitalize on AI, especially for banks.

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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.

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Unite.AI

MARCH 6, 2025

The Path Forward: Balancing Innovation with Transparency To address the risks associated with large language models' reasoning beyond human understanding, we must strike a balance between advancing AI capabilities and maintaining transparency.

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Large Language Models Explainability Black Box AI AI Researcher 190

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

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.

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Explainable AI Explainability Computer Vision Large Language Models 101

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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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.

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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.

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Data Quality Data Drift Explainability Big Data 130

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.

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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.’

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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.

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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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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.

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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.

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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.

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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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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.

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Algorithm AI Developer AI Development AI 111

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.

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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?

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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.

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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?

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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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IBM Journey to AI blog

JUNE 26, 2023

Concerns to consider with off the shelf generative AI models include: Internet data is not always fair and accurate At the heart of much of generative AI today is vast amounts of data from sources such as Wikipedia, websites, articles, image or audio files, etc. What is watsonx.governance?

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TransOrg Analytics

FEBRUARY 11, 2025

These are just a few ways Artificial Intelligence (AI) silently influences our daily lives. As AI continues integrating into every aspect of society, the need for Explainable AI (XAI) becomes increasingly important. What is Explainable AI? Why is Explainable AI Important?

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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.

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Unite.AI

JUNE 18, 2024

GANs gave rise to DALL-E , an AI model that generates images based on textual descriptions. Looking further ahead, one critical area of focus is Explainable AI , which aims to make AI decisions transparent and understandable. On the other hand, VAEs are used primarily in unsupervised learning.

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Robotics Generative AI AI Explainable AI 274

IBM Journey to AI blog

MAY 9, 2023

A lack of confidence to operationalize AI Many organizations struggle when adopting AI. According to Gartner , 54% of models are stuck in pre-production because there is not an automated process to manage these pipelines and there is a need to ensure the AI models can be trusted.

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Metadata Explainability Automation Responsible AI 227

Marktechpost

JULY 6, 2023

It is crucial to distinguish between IAI and XAI models because of their increasing popularity in the ML field in order to assist organizations in selecting the best strategy for their use case. In other words, it is safe to say that an IAI model provides its own explanation. Situations of this nature can be interpreted.

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AI Weekly

OCTOBER 12, 2023

coindesk.com Chorus of creative workers demands AI regulation at FTC roundtable At a virtual Federal Trade Commission (FTC) roundtable yesterday, a deep lineup of creative workers and labor leaders representing artists demanded AI regulation of generative AI models and tools.

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Unite.AI

AUGUST 13, 2024

Likewise, The US Department of Justice (DOJ) initiated two distinct inquiries into Nvidia due to rising antitrust concerns surrounding their AI-centric business operations. Nvidia commands a 70% to 95% market share in the chips essential for training AI models.

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AI News

MAY 29, 2024

. “It’s using AI to figure out actually how your application works, and then provides recommendations about how to make it better,” Ball said. Upcoming AI opportunities According to Ball, a current opportunity is organising the unstructured data that feeds into AI models.

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Viso.ai

FEBRUARY 12, 2024

True to its name, Explainable AI refers to the tools and methods that explain AI systems and how they arrive at a certain output. Artificial Intelligence (AI) models assist across various domains, from regression-based forecasting models to complex object detection algorithms in deep learning.

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IBM Journey to AI blog

AUGUST 17, 2023

Next, the teams trained a foundation model using watsonx.ai , a powerful studio for training, validating, tuning and deploying generative AI models for business. That’s why the US Open will also use watsonx.governance to direct, manage and monitor its AI activities.

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Unite.AI

MARCH 18, 2024

As generative AI technology advances, there's been a significant increase in AI-generated content. This content often fills the gap when data is scarce or diversifies the training material for AI models, sometimes without full recognition of its implications.

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Data Integration AI AI Generative AI 184

IBM Journey to AI blog

OCTOBER 16, 2023

It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

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Metadata Explainability Automation Explainable AI 220

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)?

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