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.

Responsible AI 111

Responsible AI ML AI AI 111

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)?

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Explainability Explainable AI 52

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.

Composite AI 182

Composite AI Explainability Black Box AI Explainable AI 182

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.

Machine Learning 104

Machine Learning Responsible AI Artificial Intelligence Artificial Intelligence 104

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 253

Data Scientist Metadata Responsible AI Explainability 253

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.

Generative AI 321

Generative AI AI AI Explainability 321

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.

Explainable AI 52

Explainable AI Explainability Deep Learning Neural Network 52

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.

AI 290

AI AI Explainability Responsible AI 290

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.

Responsible AI 65

Responsible AI AI AI ML 65

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.

Generative AI 229

Generative AI Responsible AI Neural Network Natural Language Processing 229

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.

Explainability 173

Explainability Software Engineer AI Modeling Responsible AI 173

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.

Responsible AI 52

Responsible AI AI AI AI Tools 52

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.

Responsible AI 52

Responsible AI AI AI AI Tools 52

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.

Explainability 246

Explainability Explainable AI AI AI 246

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

Prompt Engineer 285

Prompt Engineer Prompt Engineering ETL Machine Learning 285

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.

Responsible AI 98

Responsible AI AI AI Software Engineer 98

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.

Responsible AI 52

Responsible AI Data Science Deep Learning Machine Learning 52

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.

Artificial Intelligence 137

Artificial Intelligence Artificial Intelligence BERT Large Language Models 137

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.

Automation 147

Automation Explainability Responsible AI AI Automation 147

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.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Large Language Models Responsible AI 52

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.

Artificial Intelligence 132

Artificial Intelligence Artificial Intelligence BERT Computer Vision 132

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.

Explainability 223

Explainability Machine Learning Algorithm AI 223

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.

Generative AI 119

Generative AI Responsible AI AI AI 119

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?”.

Responsible AI 162

Responsible AI AI AI Explainability 162

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.

Auto-complete 189

Auto-complete AI Strategy Generative AI Responsible AI 189

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.

Large Language Models 312

Large Language Models LLM Natural Language Processing Explainability 312

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.

Artificial Intelligence 123

Artificial Intelligence Artificial Intelligence Metadata Large Language Models 123

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.

LLM 264

LLM Machine Learning Explainability Algorithm 264

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.

Metadata 244

Metadata Explainability Automation Explainable AI 244

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.

ChatGPT 100

ChatGPT Prompt Engineer Prompt Engineering Explainability 100

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.

AI 213

AI AI Artificial Intelligence Artificial Intelligence 213

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.

Generative AI 225

Generative AI Chatbots AI AI 225

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.

Large Language Models 147

Large Language Models ETL Responsible AI Computer Vision 147

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.

Python 102

Python Responsible AI Generative AI Machine Learning 102

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.

Artificial Intelligence 130

Artificial Intelligence Artificial Intelligence AI Modeling AI 130

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.

Explainable AI 93

Explainable AI Data Science Responsible AI Explainability 93

AWS Machine Learning Blog

OCTOBER 17, 2023

Customer care agents play a crucial role in quickly and accurately retrieving information related to pharmacy information, including prescription clarifications and transfer status, order and dispensing details, and patient profile information, in real time. The solution is HIPAA compliant, ensuring customer privacy.

LLM 126

LLM Chatbots Explainability Generative AI 126