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 watsonx.governance?

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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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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

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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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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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

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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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

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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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

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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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

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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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

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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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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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

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

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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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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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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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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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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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

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

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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Pickl AI

SEPTEMBER 17, 2024

Summary: This blog covers 15 crucial artificial intelligence interview questions, ranging from fundamental concepts to advanced techniques. Understanding these questions will equip aspiring AI professionals with the knowledge needed to excel in interviews and navigate the evolving AI landscape.

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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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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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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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Pickl AI

SEPTEMBER 3, 2024

This blog explores their core components, responsibilities, and applications across various industries. Explainable AI As ANNs are increasingly used in critical applications, such as healthcare and finance, the need for transparency and interpretability has become paramount.

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ODSC - Open Data Science

NOVEMBER 20, 2024

Yves provided a glimpse into his own methods, including how he uses structured prompts to generate SEO-optimized blog posts, summaries, and code snippets. Companies must consider regulations like the GDPR, CCPA, and other emerging AI governance standards.

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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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