Google Research AI blog

MARCH 16, 2023

The Impact Lab team, part of Google’s Responsible AI Team , employs a range of interdisciplinary methodologies to ensure critical and rich analysis of the potential implications of technology development. We examine systemic social issues and generate useful artifacts for responsible AI development.

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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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Unite.AI

APRIL 9, 2024

As organizations strive for responsible and effective AI, Composite AI stands at the forefront, bridging the gap between complexity and clarity. The Need for Explainability The demand for Explainable AI arises from the opacity of AI systems, which creates a significant trust gap between users and these algorithms.

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Marktechpost

JANUARY 17, 2024

The NIST AI Risk Management Framework and AI Trustworthiness taxonomy have indicated that these operational characteristics are necessary for trustworthy AI. The goal is to provide a thorough resource that helps shape future practice guides and standards for evaluating and controlling the security of AI systems.

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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.

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IBM Journey to AI blog

SEPTEMBER 20, 2023

AI’s value is not limited to advances in industry and consumer products alone. When implemented in a responsible way—where the technology is fully governed, privacy is protected and decision making is transparent and explainable—AI has the power to usher in a new era of government services.

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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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Unite.AI

DECEMBER 13, 2023

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. About 80% of executives incorporate AI technology in their strategies and business decisions.

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Google Research AI blog

MAY 18, 2023

We continue to focus on making AI more understandable, interpretable, fun, and usable by more people around the world. It’s a mission that is particularly timely given the emergence of generative AI and chatbots. As an example of their utility, these methods recently won a SemEval competition to identify and explain sexism.

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Unite.AI

JULY 1, 2024

Its AI technology assesses all types of content, whether human-created or machine-generated. Seekr enhances user choice and control by providing streamlined access to trustworthy information. Seekr’s commitment to reliability and explainability is engrained throughout SeekrFlow.

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IBM Journey to AI blog

JANUARY 15, 2024

Two critical elements driving this digital transformation are data and artificial intelligence (AI). AI plays a pivotal role in unlocking value from data and gaining deeper insights into the extensive information that governments collect to serve their citizens.

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Snorkel AI

FEBRUARY 22, 2023

At Snorkel AI’s 2022 Future of Data-Centric AI virtual conference, Eisenberg gave a short presentation on the way he and his colleagues are working to operationalize the assessment of responsible AI systems using a Credo AI tool called Lens. My name is Ian Eisenberg, and I head the data science team at Credo AI.

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Snorkel AI

FEBRUARY 22, 2023

At Snorkel AI’s 2022 Future of Data-Centric AI virtual conference, Eisenberg gave a short presentation on the way he and his colleagues are working to operationalize the assessment of responsible AI systems using a Credo AI tool called Lens. My name is Ian Eisenberg, and I head the data science team at Credo AI.

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Unite.AI

AUGUST 25, 2023

One of the most significant issues highlighted is how the definition of responsible AI is always shifting, as societal values often do not remain consistent over time. Can focusing on Explainable AI (XAI) ever address this? For someone who is being falsely accused, explainability has a whole different meaning and urgency.

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IBM Journey to AI blog

OCTOBER 30, 2024

Moreover, LRRs and other industry frameworks, such as the National Institute of Standards and Technology (NIST), Information Technology Infrastructure Library (ITIL), and Control Objectives for Information and Related Technologies (COBIT), are constantly evolving. Furthermore, watsonx.ai

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Google Research AI blog

JUNE 21, 2023

The audio was reviewed, any personally identifiable information (PII) was removed, and then that data was transcribed by speech-language pathologists. USM improvements over pre-USM models can be explained by USM’s relative size increase, 120M to 2B parameters, and other improvements discussed in the USM blog post.

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ODSC - Open Data Science

MARCH 11, 2024

Introducing the Topic Tracks for ODSC East 2024 — Highlighting Gen AI, LLMs, and Responsible AI ODSC East 2024 , coming up this April 23rd to 25th, is fast approaching and this year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners.

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Unite.AI

OCTOBER 25, 2024

The platform revolutionizes the quoting process for businesses by utilizing advanced AI technologies to automate what has traditionally been a labor-intensive and error-prone task. This automation begins with Data Extraction, employing OCR and AI to efficiently process customer emails and extract relevant information.

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Marktechpost

APRIL 21, 2024

Introduction to Generative AI: This course provides an introductory overview of Generative AI, explaining what it is and how it differs from traditional machine learning methods. Participants will learn about the applications of Generative AI and explore tools developed by Google to create their own AI-driven applications.

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ODSC - Open Data Science

AUGUST 24, 2023

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Editor’s note: Jayachandran Ramachandran and Rohit Sroch are speakers for ODSC APAC this August 22–23. As LLMs become integral to AI applications, ethical considerations take center stage.

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Marktechpost

MAY 30, 2024

Inspect Rich Documents with Gemini Multimodality and Multimodal RAG This course covers using multimodal prompts to extract information from text and visual data and generate video descriptions with Gemini. It also includes guidance on using Google Tools to develop your own Generative AI applications.

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Unite.AI

MAY 27, 2024

Detecting fraud with AI Traditional fraud detection methods rely on rule-based systems that can only identify pre-programmed patterns. By considering this broad data set, AI can create a more nuanced picture of a borrower's creditworthiness, identifying complex relationships within the data that might be missed by traditional methods.

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AWS Machine Learning Blog

JULY 10, 2024

Responsible AI is a longstanding commitment at Amazon. From the outset, we have prioritized responsible AI innovation by embedding safety, fairness, robustness, security, and privacy into our development processes and educating our employees.

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Unite.AI

JULY 3, 2023

He has been quoted in a number of publications and routinely speaks to groups of clients regarding trends in IT, information security, and compliance. Could you share the genesis story behind Cranium AI? What is the Cranium AI Card and what key insights does it reveal ? and “Has this information been validated?”.

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IBM Journey to AI blog

JULY 26, 2023

Critical considerations for responsible AI adoption While the possibilities are endless, the explosion of use cases that employ generative AI in HR also poses questions around misuse and the potential for bias. As such, HR leaders cannot simply rely on data and AI to make decisions. HR leaders set the tone.

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Towards AI

JULY 27, 2024

While ChatGPT struggles to process and keep track of information in long conversations, Claude’s context window is huge (spanning up to 150 pages), which helps users to do more coherent and consistent conversations, especially when it comes to long documents. Claude Family Claude AI comes in a family of 3 generative AI models.

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Unite.AI

JULY 4, 2024

This technique prevents logits from growing excessively large without hard truncation, maintaining more information while stabilizing the training process. Factual Accuracy : While highly capable, Gemma 2 can sometimes generate incorrect or inconsistent information. Always critically evaluate its outputs.

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Flipboard

AUGUST 6, 2023

Jupyter AI, an official subproject of Project Jupyter, brings generative artificial intelligence to Jupyter notebooks. It allows users to explain and generate code, fix errors, summarize content, and even generate entire notebooks from natural language prompts. The AI then responds based on the stored information.

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Unite.AI

DECEMBER 1, 2023

SHAP's strength lies in its consistency and ability to provide a global perspective – it not only explains individual predictions but also gives insights into the model as a whole. Risks with Personal Data LLMs require extensive training data, which may include sensitive personal information.

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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. Increase trust in AI outcomes.

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IBM Journey to AI blog

SEPTEMBER 5, 2024

If implemented responsibly, AI has the transformative potential to offer personalized learning and evaluation experiences to enhance fairness in assessments across student populations that include marginalized groups. Lack of governance and guardrails that ensure AI models continue to behave in intended ways.

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Unite.AI

SEPTEMBER 2, 2024

This objective, commonly known as inclusive governance, has led the sector to continually embrace advanced technologies to improve citizen engagement, streamline operations, and make informed decisions. Generative AI-driven assistive technologies are also improving accessibility for individuals with disabilities.

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AWS Machine Learning Blog

NOVEMBER 18, 2024

Sonnet on Amazon Bedrock to describe it, evaluate it with a score from 1–10, explain the reason behind the given score, and suggest improvements to the image. When the stack status is CREATE_COMPLETE , navigate to the Outputs tab and find the API information. Then, we show you how to use Anthropic’s Claude 3.5 Choose Next again.

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Unite.AI

SEPTEMBER 6, 2024

As a result, everyone across virtually every organization feels friction when looking for the information they need to perform their jobs and workflows. That was the birth of Pryon, the world’s first AI-enhanced knowledge cloud. Pryon’s platform integrates advanced AI technologies like computer vision and large language models.

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AWS Machine Learning Blog

OCTOBER 24, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing FMs from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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Marktechpost

DECEMBER 6, 2023

This means it can understand, process, and integrate various information types, including text, code, audio, images, and videos. The model can dissect and interpret complex written and visual information, making it particularly adept at unlocking knowledge hidden in vast datasets.

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ODSC - Open Data Science

JUNE 7, 2023

Interactive Explainable AI Meg Kurdziolek, PhD | Staff UX Researcher | Intrinsic.ai Although current explainable AI techniques have made significant progress toward enabling end-users to understand the why behind a prediction, to effectively build trust with an AI system we need to take the next step and make XAI tools interactive.

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