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

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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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

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

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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DataRobot Blog

FEBRUARY 14, 2022

With any AI solution , you want it to be accurate. But just as important, you want it to be explainable. Explainability requirements continue after the model has been deployed and is making predictions. DataRobot offers end-to-end explainability to make sure models are transparent at all stages of their lifecycle.

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Unite.AI

AUGUST 13, 2024

In this blog, we will discuss the ramifications of increased regulatory scrutiny on OpenAI, new digital oversight, and the impact on the broader industry. All this will contribute to the development and adoption of responsible and explainable AI.

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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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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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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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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. Originally published on louisbouchard.ai, read it 2 days before on my blog! You are a… Read the full blog for free on Medium.

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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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Unite.AI

JULY 14, 2024

Meta wished to expand into Europe to optimize the accuracy of its artificial intelligence (AI) technology systems by training them to use user data. This blog discusses the DPC’s privacy and data security concerns and how Meta responded to them. This has adversely impacted its operations, leading to increased recalibration.

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IBM Journey to AI blog

OCTOBER 30, 2024

Through the integrated suite of tools offered by watsonx.governance™, users can expedite the implementation of responsible, transparent and explainable AI workflows tailored to both generative AI and machine learning models. Furthermore, watsonx.ai

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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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Marktechpost

JUNE 8, 2024

Google researchers introduced a novel framework, StylEx, that leverages generative AI to address the challenges in the field of medical imaging, especially focusing on the lack of explainability in AI models. In conclusion, the proposed framework enhances the explainability of AI models in medical imaging.

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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

SEPTEMBER 24, 2024

Abhisesh Silwal, a systems scientist at Carnegie Mellon University whose research focuses on AI and robotics in agriculture, thinks so. Guerena’s project, called Artemis, uses AI and computer vision to speed up the phenotyping process. We get tired, lose our focus, or just physically can’t see all that we need to.

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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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Pickl AI

OCTOBER 8, 2024

Summary: This blog discusses Explainable Artificial Intelligence (XAI) and its critical role in fostering trust in AI systems. One of the most effective ways to build this trust is through Explainable Artificial Intelligence (XAI). What is Explainable AI (XAI)? What is Explainable AI (XAI)?

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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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Towards AI

JULY 13, 2024

This combined approach enhances the traditional pricing model by incorporating real-time analysis and explainable AI techniques. However, traditional optimization methods… Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter. From research to projects and ideas.

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IBM Journey to AI blog

SEPTEMBER 20, 2023

This enables enterprises to scale AI deployments at the edge, reducing the time and cost to deploy with faster response times. IBM watsonx.data is a fit-for-purpose data store built on an open lakehouse architecture to scale AI workloads for all of your data, anywhere.

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IBM Journey to AI blog

OCTOBER 17, 2024

Also, if the assistant identifies a trend, it explains what is driving that trend, providing context on contributing factors, key drivers and offering potential actions users can take to influence the outcome. Trust and explainability: AI you can trust One of the biggest concerns about AI is trust, especially in critical business decisions.

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Heartbeat

SEPTEMBER 13, 2023

Source: ResearchGate Explainability refers to the ability to understand and evaluate the decisions and reasoning underlying the predictions from AI models (Castillo, 2021). Explainability techniques aim to reveal the inner workings of AI systems by offering insights into their predictions. What is Explainability?

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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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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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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

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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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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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

JUNE 28, 2023

Leveraging its genomics experience, IBM has published a whitepaper, Explainable AI reveals changes in skin microbiome composition linked to phenotypic differences , and has also invested in building an accelerator, to enable researchers to perform phenotype prediction from omics data (e.g.,

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Heartbeat

SEPTEMBER 7, 2023

In the ever-evolving landscape of machine learning and artificial intelligence, understanding and explaining the decisions made by models have become paramount. Enter Comet , that streamlines the model development process and strongly emphasizes model interpretability and explainability. Why Does It Matter?

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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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IBM Journey to AI blog

AUGUST 12, 2024

Financial institutions must document and justify AI-driven decisions to regulators, ensuring that the processes are understandable and auditable. Predictability in AI outputs is equally important to maintain trust and reliability in AI systems.

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Towards AI

OCTOBER 3, 2024

Yet, despite these advancements, AI still faces significant limitations — particularly in adaptability, energy consumption, and the ability to learn from new situations without forgetting old information. As we stand on the cusp of the next generation of AI, addressing these challenges is paramount.

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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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