Towards AI

JULY 22, 2023

So, don’t worry, this is where Explainable AI, also known as XAI, comes in. In this blog, we’ll get headlong into XAI theory, expose its nuts and bolts, investigate numerous methodologies, and, of course, offer a variety of relevant and interesting examples that will make the magic of XAI crystal evident! SOURCE: [link] A.

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IBM Journey to AI blog

DECEMBER 8, 2023

AIOps Insights integrates with existing ChatOps platforms like Slack to provide insights directly where IT Operations teams work, and uses explainable AI to provide clear recommendations. Learn more about IBM AIOps Insights The post Get your IT team battle-ready for the next holiday rush appeared first on IBM Blog.

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IBM Journey to AI blog

OCTOBER 16, 2023

Foundation models are widely used for ML tasks like classification and entity extraction, as well as generative AI tasks such as translation, summarization and creating realistic content. The development and use of these models explain the enormous amount of recent AI breakthroughs. ” Are foundation models trustworthy? .

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IBM Journey to AI blog

AUGUST 16, 2023

Systems: Producing ethical and unbiased systems, including explainable AI. ” Download the white paper The post IBM’s dedication to responsible computing appeared first on IBM Blog. Data usage: Implementing data privacy and transparency practices and requesting consent for use and authorization for any data acquisition.

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IBM Journey to AI blog

MAY 9, 2023

Success in delivering scalable enterprise AI necessitates the use of tools and processes that are specifically made for building, deploying, monitoring and retraining AI models. Consistent principles guiding the design, development, deployment and monitoring of models are critical in driving responsible, transparent and explainable AI.

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IBM Journey to AI blog

JANUARY 25, 2024

The goal of these forms is to capture critical information about AI models so that governance teams can assess and address their risks before deploying them. How are you making your model explainable? This approach extends to ethical practices, which is why IBM created a Trustworthy AI Center of Excellence (COE).

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IBM Journey to AI blog

MARCH 7, 2023

This required a model with a high level of precision that also is built upon key principles of trustworthy AI including transparency, explainability, fairness, privacy and robustness. To learn more about how Innocens BV is putting data and AI to work, visit the case study and short documentary film here.

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IBM Journey to AI blog

DECEMBER 4, 2023

IBM watsonx.governance ™, a component of the watsonx™ platform that will be available on December 5 th , helps organizations monitor and govern the entire AI lifecycle. It helps accelerate responsible, transparent and explainable AI workflows.

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Marktechpost

NOVEMBER 30, 2023

Researchers from Lund University and Halmstad University conducted a review on explainable AI in poverty estimation through satellite imagery and deep machine learning. The review underscores the significance of explainability for wider dissemination and acceptance within the development community.

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ODSC - Open Data Science

DECEMBER 7, 2023

The Importance of Implementing Explainable AI in Healthcare 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.

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NYU Center for Data Science

JUNE 16, 2023

This entree is a part of our Meet the Fellow blog series, which introduces and highlights Faculty Fellows who have recently joined CDS CDS Assistant Professor/Faculty Fellow, Umang Bhatt Meet CDS Assistant Professor/Faculty Fellow Umang Bhatt , who will join CDS this fall. By Meryl Phair

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IBM Journey to AI blog

DECEMBER 4, 2023

Addressing industry concerns related to using generative AI In a study conducted by IBV, business leaders expressed concerns about the adoption of generative AI. To put watsonx generative AI to work, get a free IBM watsonx.ai

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Mlearning.ai

FEBRUARY 6, 2023

These issues are localized to OpenAI’s Text Classifier specifically and may not generalize to production-ready AI-Detectors in general. This is why we need Explainable AI (XAI). Attention mechanisms have often been touted as an in-built explanation mechanism, allowing any Transformer to be inherently explainable.

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NVIDIA

MARCH 1, 2024

Transparency: Making AI Explainable To create a trustworthy AI model, the algorithm can’t be a black box — its creators, users and stakeholders must be able to understand how the AI works to trust its results. Learn more about trustworthy AI on NVIDIA.com and the NVIDIA Blog.

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IBM Journey to AI blog

MARCH 4, 2024

The scale and impact of next-generation AI emphasize the importance of governance and risk controls. An AI+ enterprise mitigates potential harm by implementing robust measures to secure, monitor and explain AI models, as well as monitoring governance, risk and compliance controls across the hybrid cloud environment.

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IBM Journey to AI blog

JULY 17, 2023

is a studio to train, validate, tune and deploy machine learning (ML) and foundation models for Generative AI. Watsonx.data allows scaling of AI workloads using customer data. Watsonx.governance is providing an end-to-end solution to enable responsible, transparent and explainable AI workflows. Watsonx.ai

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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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Pickl AI

APRIL 8, 2024

Summary: AI’s immense potential is undeniable, but its journey riddle with roadblocks. This blog explores 13 major AI blunders, highlighting issues like algorithmic bias, lack of transparency, and job displacement. This experiment highlighted the importance of developing robust security measures for AI systems.

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DataRobot Blog

MAY 12, 2022

DataRobot’s More Intelligent Tomorrow podcast has also featured discussions on important topics like human capital management , AI and the courtroom , AI ethics , and the changing role of technology on citizenship. Throughout May, DataRobot will be sharing a blog series titled “Trusted AI for Homeland Security.”

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DataRobot Blog

MARCH 15, 2022

In our previous healthcare blog , Sally Embrey explained how the integration of health and care services is gathering pace globally and how the creation of Integrated Care Systems (ICSs) by England’s National Health Service (NHS) is the latest example of services being organized around a local population. Learn More.

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Towards AI

AUGUST 30, 2023

Because of the increasing popularity of AI and its applications, more and more people are becoming aware of the role that machine learning plays in everyday life — from recommendation systems, to forecasts to generative AI. Join thousands of data leaders on the AI newsletter. From research to projects and ideas.

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Heartbeat

NOVEMBER 27, 2023

Interpretability and Explainability One challenge with deep learning models in medical image analysis is their black-box nature. Interpreting and explaining the decisions of deep learning models is crucial for building trust and confidence in their application. References Dylan et al.

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IBM Journey to AI blog

JULY 6, 2023

to learn more) In other words, you get the ability to operationalize data science models on any cloud while instilling trust in AI outcomes. Moreover, you’ll be able to manage and govern the AI lifecycle with MLOps , optimize business decisions with prescriptive analytics , and accelerate time to value with visual modeling tools.

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ML @ CMU

MARCH 31, 2023

This blog post discusses the effectiveness of black-box model explanations in aiding end users to make decisions. However, while numerous explainable AI (XAI) methods have been developed, XAI has yet to deliver on this promise. On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods.

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IBM Journey to AI blog

AUGUST 11, 2023

Accountability—According to the IBM Global AI Adoption Index 2022 , a majority of organizations haven’t taken key steps to ensure their AI is trustworthy and responsible, such as reducing bias (74%), tracking performance variations and model drift (68%), and making sure they can explain AI-powered decisions (61%).

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Pickl AI

JULY 14, 2023

Therefore, AI has been evolving since years now and is currently at its peak of development. AI has been disrupting every industry in the world today and will supposedly make larger swings in the next 5 years. The following blog will emphasise on what the future of AI looks like in the next 5 years.

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Defined.ai blog

AUGUST 10, 2023

Explainable AI (XAI) As AI models become more complex, understanding how they arrive at decisions becomes crucial, especially in a heavily regulated sector like finance. Explainable AI aims to make AI decision-making processes transparent and understandable.

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ML @ CMU

MARCH 30, 2023

This blog post discusses the effectiveness of black-box model explanations in aiding end users to make decisions. However, while numerous explainable AI (XAI) methods have been developed, XAI has yet to deliver on this promise. On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods.

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DataRobot Blog

JUNE 23, 2022

The explicit management of both ensures compliance (especially when transparent and explainable AI models are used), and the business ownership necessary to create business value. AI models, especially transparent and explainable AI models, are potentially transformative. Take Action.

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IBM Journey to AI blog

FEBRUARY 8, 2023

Manual processes can lead to “black box models” that lack transparent and explainable analytic results. Explainable results are crucial when facing questions on the performance of AI algorithms and models. Your customers deserve and are holding your organization accountable to explain reasons for analytics-based decisions.

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Towards AI

APRIL 2, 2024

has announced an upgraded version of its AI model, Grok-1.5. As per the official blog, Grok-1.5 These small-scale deployments are helping to inform our approach, safeguards, and thinking about how Voice Engine could be used for good across various industries,” OpenAI said in its blog post.

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IBM Journey to AI blog

OCTOBER 12, 2023

Explainable AI — Explainable AI is achieved when an organization can confidently and clearly state what data an AI model used to perform its tasks. Key to explainable AI is the ability to automatically compile information on a model to better explain its analytics decision-making.

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IBM Journey to AI blog

FEBRUARY 8, 2024

In addition, stakeholders from corporate boards to consumers are prioritizing trust, transparency, fairness and accountability when it comes to AI. ‘Break open the black box’ with AI governance The post Preparing for the EU AI Act: Getting governance right appeared first on IBM Blog.

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Heartbeat

FEBRUARY 2, 2024

In xxAI — Beyond Explainable AI Chapter. Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments. Salewski, L., Koepke, A. Lensch, H. A., & Akata, Z. Open Access. DOI: [link] Das, A.,

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IBM Journey to AI blog

APRIL 11, 2023

It is important to choose an auditor that specializes in HR or Talent and trustworthy, explainable AI, and has RAII Certification and DAA digital accreditation. Learn more about an AI HR/Talent Strategy The post Global executives and AI strategy for HR: How to tackle bias in algorithmic AI appeared first on IBM Blog.

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IBM Journey to AI blog

SEPTEMBER 18, 2023

Additionally, artificial intelligence (AI) plays an important role. Although AI is what will unleash productivity for banks and corporate buyers, it will require responsible, transparent and explainable AI to transform the workflows and provide cross-border assurance.

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IBM Journey to AI blog

AUGUST 17, 2023

That’s why the US Open will also use watsonx.governance to direct, manage and monitor its AI activities. Learn more about watsonx Subscribe to keep up with IBM AI innovations via email The post US Open heralds new era of fan engagement with watsonx and generative AI appeared first on IBM Blog.

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