AI, AI Modeling and Explainable AI - Artificial Intelligence Zone

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

Unite.AI

DECEMBER 19, 2024

AI is becoming a more significant part of our lives every day. But as powerful as it is, many AI systems still work like black boxes. 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. We dont need to be an AI expert to use it.

Large Language Models

Large Language Models Explainable AI Explainability Conversational AI

Explainable AI: Demystifying the Black Box Models

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

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Explainable AI using OmniXAI

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

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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

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

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.

Automation

Automation AI Explainability AI

Data Monocultures in AI: Threats to Diversity and Innovation

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. AI systems can also become fragile when trained on limited data.

AI

AI AI Algorithm Large Language Models

The Role of AI in Gene Editing

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.

Machine Learning

Machine Learning AI AI Artificial Intelligence

AI Paves a Bright Future for Banking, but Responsible Development Is King

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.

Explainable AI

Explainable AI AI AI Natural Language Processing

The Hidden Risks of DeepSeek R1: How Large Language Models Are Evolving to Reason Beyond Human Understanding

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.

Large Language Models

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Who Is Responsible If Healthcare AI Fails?

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?

Black Box AI

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

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?

Generative AI

Generative AI Explainability AI AI

Peering Inside AI: How DeepMind’s Gemma Scope Unlocks the Mysteries of AI

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

Large Language Models Neural Network AI AI

Western Bias in AI: Why Global Perspectives Are Missing

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.

Algorithm

Algorithm AI Development AI Developer AI

With Generative AI Advances, The Time to Tackle Responsible AI Is Now

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

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Pace of innovation in AI is fierce – but is ethics able to keep up?

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.

Prompt Engineering

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How data stores and governance impact your AI initiatives

IBM Journey to AI blog

OCTOBER 12, 2023

But the implementation of AI is only one piece of the puzzle. 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.

Data Scientist

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Beyond the Hype: Unveiling the Real Impact of Generative AI in Drug Discovery

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.

Generative AI

Generative AI Data Quality AI AI

ImandraX: A Breakthrough in Neurosymbolic AI Reasoning and Automated Logical Verification

Unite.AI

FEBRUARY 25, 2025

the AI company revolutionizing automated logical reasoning, has announced the release of ImandraX, its latest advancement in neurosymbolic AI reasoning. ImandraX pushes the boundaries of AI by integrating powerful automated reasoning with AI agents, verification frameworks, and real-world decision-making models.

Automation

Automation Neural Network Explainability 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

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How Quality Data Fuels Superior Model Performance

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. Why is this the case?

Data Quality

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Enhancing AI Transparency and Trust with Composite AI

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.

Composite AI

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Generative AI and Robotics: Are We on the Brink of a Breakthrough?

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.

Robotics

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The Importance of Implementing Explainable AI in Healthcare

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

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Explainable AI: Insights from Arthur’s Adam Wenchel

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.

Explainable AI

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Unveiling AI Hallucinations: Decoding the Dark Side of AI Models

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. Published via Towards AI

AI Modeling

AI Modeling Explainability Explainable AI Artificial Intelligence

The importance of diversity in AI isn’t opinion, it’s math

IBM Journey to AI blog

JANUARY 25, 2024

We expect technologies such as artificial intelligence (AI) to not lie to us, to not discriminate, and to be safe for us and our children to use. Yet many AI creators are currently facing backlash for the biases, inaccuracies and problematic data practices being exposed in their models. How are you making your model explainable?

Algorithm

Algorithm Explainability AI AI

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

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

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How to become an AI+ enterprise

IBM Journey to AI blog

MARCH 4, 2024

We have all been witnessing the transformative power of generative artificial intelligence (AI), with the promise to reshape all aspects of human society and commerce while companies simultaneously grapple with acute business imperatives. We refer to this transformation as becoming an AI+ enterprise.

AI

AI AI Artificial Intelligence Artificial Intelligence

How to responsibly scale business-ready generative AI

IBM Journey to AI blog

JUNE 26, 2023

Possibilities are growing that include assisting in writing articles, essays or emails; accessing summarized research; generating and brainstorming ideas; dynamic search with personalized recommendations for retail and travel; and explaining complicated topics for education and training. What is generative AI?

Generative AI

Generative AI Explainability Explainable AI Natural Language Processing

When AI Poisons AI: The Risks of Building AI on AI-Generated Contents

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.

AI

AI AI Data Integration Generative 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

Cybersecurity AI Trends to Watch in 2024

Unite.AI

DECEMBER 13, 2023

AI transforms cybersecurity by boosting defense and offense. However, challenges include the rise of AI-driven attacks and privacy issues. Responsible AI use is crucial. The future involves human-AI collaboration to tackle evolving trends and threats in 2024. Anomaly detection is like having a vigilant guard on duty 24/7.

Explainability

Explainability AI AI Responsible AI

Preparing for the EU AI Act: Getting governance right

IBM Journey to AI blog

FEBRUARY 8, 2024

The European Artificial Intelligence Act, while not yet law, is driving new levels of human oversight and regulatory compliance for artificial intelligence (AI) within the European Union. Similar to GDPR for privacy, the EU AI Act has potential to set the tone for upcoming AI regulations worldwide.

Artificial Intelligence

Artificial Intelligence Artificial Intelligence AI AI

Considerations for addressing the core dimensions of responsible AI for Amazon Bedrock applications

AWS Machine Learning Blog

NOVEMBER 15, 2024

The rapid advancement of generative AI promises transformative innovation, yet it also presents significant challenges. Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development.

Responsible AI

Responsible AI Prompt Engineering Prompt Engineer AI

How to use foundation models and trusted governance to manage AI workflow risk

IBM Journey to AI blog

OCTOBER 16, 2023

Artificial intelligence (AI) adoption is still in its early stages. As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. ” Are foundation models trustworthy?

Metadata

Metadata Explainability Automation Explainable AI

Ben Ball, IBM: Revolutionising technology operations with IBM Concert

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.

Explainability

Explainability Automation Big Data AI Engineer

Bring light to the black box

IBM Journey to AI blog

MAY 9, 2023

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation to become business critical for many organizations. While the promise of AI isn’t guaranteed and may not come easy, adoption is no longer a choice. So what is stopping AI adoption today? It is an imperative.

Metadata

Metadata Explainability Automation Responsible AI

Generative AI in the Healthcare Industry Needs a Dose of Explainability

Unite.AI

SEPTEMBER 13, 2023

The remarkable speed at which text-based generative AI tools can complete high-level writing and communication tasks has struck a chord with companies and consumers alike. In this context, explainability refers to the ability to understand any given LLM’s logic pathways.

Explainability

Explainability Generative AI AI Tools AI

Explainable AI: A Way To Explain How Your AI Model Works

Dlabs.ai

AUGUST 16, 2022

That’s why 37% of companies already use AI , with nine in ten big businesses investing in AI technology. Still, not everyone can appreciate the benefits of AI. 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.

Explainability

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Explainable AI: Shedding Light on AI Decision-Making

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?

Explainable AI

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Maximizing compliance: Integrating gen AI into the financial regulatory framework

IBM Journey to AI blog

AUGUST 12, 2024

In an era where financial institutions are under increasing scrutiny to comply with Anti-Money Laundering (AML) and Bank Secrecy Act (BSA) regulations, leveraging advanced technologies like generative AI presents a significant opportunity. Financial institutions face a complex regulatory environment that demands robust compliance mechanisms.

Automation

Automation Generative AI AI AI

How the EU AI Act and Privacy Laws Impact Your AI Strategies (and Why You Should Be Concerned)

Unite.AI

JULY 2, 2024

Artificial intelligence (AI) is revolutionizing industries, streamlining processes, improving decision-making, and unlocking previously unimagined innovations. As we witness AI's rapid evolution, the European Union (EU) has introduced the EU AI Act, which strives to ensure these powerful tools are developed and used responsibly.

AI Strategy

AI Strategy Explainability AI AI

Foundational models at the edge

IBM Journey to AI blog

SEPTEMBER 20, 2023

Foundational models (FMs) are marking the beginning of a new era in machine learning (ML) and artificial intelligence (AI) , which is leading to faster development of AI that can be adapted to a wide range of downstream tasks and fine-tuned for an array of applications. What are large language models?

Large Language Models

Large Language Models DevOps Data Science AI Modeling

The Evolving Landscape of Generative AI: A Survey of Mixture of Experts, Multimodality, and the Quest for AGI

Unite.AI

JANUARY 12, 2024

The field of artificial intelligence (AI) has seen tremendous growth in 2023. Generative AI, which focuses on creating realistic content like images, audio, video and text, has been at the forefront of these advancements. Rumored projects like OpenAI's Q* hint at combining conversational AI with reinforcement learning.

Generative AI

Generative AI Neural Network ChatGPT Conversational AI

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

Explainable AI: Demystifying the Black Box Models

Webinars

Trending Sources

Explainable AI using OmniXAI

Webinars

Explainable AI Using Expressive Boolean Formulas

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

Data Monocultures in AI: Threats to Diversity and Innovation

The Role of AI in Gene Editing

AI Paves a Bright Future for Banking, but Responsible Development Is King

The Hidden Risks of DeepSeek R1: How Large Language Models Are Evolving to Reason Beyond Human Understanding

Who Is Responsible If Healthcare AI Fails?

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

Peering Inside AI: How DeepMind’s Gemma Scope Unlocks the Mysteries of AI

Western Bias in AI: Why Global Perspectives Are Missing

With Generative AI Advances, The Time to Tackle Responsible AI Is Now

Pace of innovation in AI is fierce – but is ethics able to keep up?

How data stores and governance impact your AI initiatives

Beyond the Hype: Unveiling the Real Impact of Generative AI in Drug Discovery

ImandraX: A Breakthrough in Neurosymbolic AI Reasoning and Automated Logical Verification

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

How Quality Data Fuels Superior Model Performance

Enhancing AI Transparency and Trust with Composite AI

Generative AI and Robotics: Are We on the Brink of a Breakthrough?

The Importance of Implementing Explainable AI in Healthcare

Explainable AI: Insights from Arthur’s Adam Wenchel

Unveiling AI Hallucinations: Decoding the Dark Side of AI Models

The importance of diversity in AI isn’t opinion, it’s math

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

How to become an AI+ enterprise

How to responsibly scale business-ready generative AI

When AI Poisons AI: The Risks of Building AI on AI-Generated Contents

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

Cybersecurity AI Trends to Watch in 2024

Preparing for the EU AI Act: Getting governance right

Considerations for addressing the core dimensions of responsible AI for Amazon Bedrock applications

How to use foundation models and trusted governance to manage AI workflow risk

Ben Ball, IBM: Revolutionising technology operations with IBM Concert

Bring light to the black box

Generative AI in the Healthcare Industry Needs a Dose of Explainability

Explainable AI: A Way To Explain How Your AI Model Works

Explainable AI: Shedding Light on AI Decision-Making

Maximizing compliance: Integrating gen AI into the financial regulatory framework

How the EU AI Act and Privacy Laws Impact Your AI Strategies (and Why You Should Be Concerned)

Foundational models at the edge

The Evolving Landscape of Generative AI: A Survey of Mixture of Experts, Multimodality, and the Quest for AGI

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