Flipboard

JANUARY 22, 2025

With this new feature, when an agent node requires clarification or additional context from the user before it can continue, it can intelligently pause the flows execution and request user-specific information. This creates a more interactive and context-aware experience, because the node can adapt its behavior based on user responses.

Generative AI 171

Generative AI ML Automation Explainability 171

Towards AI

FEBRUARY 11, 2025

NLP process: Identify keywords: weather, today Understand intent: weather forecast request Generate a response AI response: Expect partly sunny skies with a light breeze today. NLG Generate: AI response: It looks like theres a 30% chance of showers this afternoon. Finally, respond how a person would.

Conversational AI 74

Conversational AI Explainability NLP Natural Language Processing 74

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 307

Generative AI AI AI Explainability 307

AWS Machine Learning Blog

NOVEMBER 29, 2023

These challenges include some that were common before generative AI, such as bias and explainability, and new ones unique to foundation models (FMs), including hallucination and toxicity. Guardrails drive consistency in how FMs on Amazon Bedrock respond to undesirable and harmful content within applications.

Responsible AI 126

Responsible AI Generative AI AI AI 126

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.

Explainability 290

Explainability AI AI Responsible AI 290

Unite.AI

JANUARY 20, 2025

Transparency = Good Business AI systems operate using vast datasets, intricate models, and algorithms that often lack visibility into their inner workings. This opacity can lead to outcomes that are difficult to explain, defend, or challengeraising concerns around bias, fairness, and accountability.

Explainability 113

Explainability Explainable AI AI AI 113

Flipboard

FEBRUARY 19, 2025

As weve seen from Andurils experience with Alfred, building a robust data infrastructure using AWS services such as Amazon Bedrock , Amazon SageMaker AI , Amazon Kendra , and Amazon DynamoDB in AWS GovCloud (US) creates the essential backbone for effective information retrieval and generation.

Responsible AI 81

Responsible AI Natural Language Processing Explainability Large Language Models 81

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 234

Data Scientist Metadata Explainability Responsible AI 234

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

Towards AI

OCTOBER 19, 2024

Yet, for all their sophistication, they often can’t explain their choices — this lack of transparency isn’t just frustrating — it’s increasingly problematic as AI becomes more integrated into critical areas of our lives. What is Explainability AI (XAI)? It’s particularly useful in natural language processing [3].

Explainability 105

Explainability Explainable AI Natural Language Processing Prompt Engineering 105

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

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

AWS Machine Learning Blog

NOVEMBER 26, 2024

In this post, we discuss how to use LLMs from Amazon Bedrock to not only extract text, but also understand information available in images. It also provides a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. 90B Vision model. The numbers are shown in blue squares.

LLM 100

LLM Convolutional Neural Networks Metadata Explainability 100

Unite.AI

JANUARY 1, 2025

For example, an AI model trained on biased or flawed data could disproportionately reject loan applications from certain demographic groups, potentially exposing banks to reputational risks, lawsuits, regulatory action, or a mix of the three. The average cost of a data breach in financial services is $4.45

Explainable AI 140

Explainable AI AI AI Natural Language Processing 140

Unite.AI

FEBRUARY 17, 2025

With non-AI agents, users had to define what they had to automate and how to do it in great detail. Model Interpretation and Explainability: Many AI models, especially deep learning models, are often seen as black boxes. At SymphonyAI, our mission is to provide enterprises with AI agents that deliver operational excellence.

Automation 147

Automation Responsible AI Generative AI AI Modeling 147

Flipboard

APRIL 1, 2025

Today, organizations struggle with AI hallucination when moving generative AI applications from experimental to production environments. Model hallucination, where AI systems generate plausible but incorrect information, remains a primary concern.

Automation 158

Automation Generative AI AI AI 158

Chatbots Life

MAY 23, 2023

Responsible AI — deployment framework I asked ChatGPT and Bard to share their thoughts on what policies governments have to put in place to ensure responsible AI implementations in their countries. They should also work to raise awareness of the importance of responsible AI among businesses and organizations.

Responsible AI 82

Responsible AI Chatbots AI AI 82

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 200

Generative AI Responsible AI Neural Network Natural Language Processing 200

AWS Machine Learning Blog

MARCH 21, 2025

Research papers and engineering documents often contain a wealth of information in the form of mathematical formulas, charts, and graphs. Navigating these unstructured documents to find relevant information can be a tedious and time-consuming task, especially when dealing with large volumes of data. samples/2003.10304/page_5.png"

Metadata 104

Metadata Convolutional Neural Networks Generative AI Data Scientist 104

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

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.

Machine Learning 223

Machine Learning Explainability Algorithm AI 223

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

Unite.AI

MARCH 18, 2025

Certain large companies have control over a vast amount of data, which creates an uneven playing field wherein only a select few have access to information necessary to train AI models and drive innovation. That way, AI development is not concentrated in the hands of just a few major players. This is not how things should be.

AI Modeling 147

AI Modeling Automation Explainable AI AI Chatbots 147

AWS Machine Learning Blog

OCTOBER 31, 2024

By implementing this architectural pattern, organizations that use Google Workspace can empower their workforce to access groundbreaking AI solutions powered by Amazon Web Services (AWS) and make informed decisions without leaving their collaboration tool. In the following sections, we explain how to deploy this architecture.

Generative AI 120

Generative AI AI AI Python 120

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

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 188

Auto-complete Generative AI AI Strategy Responsible AI 188

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 102

Machine Learning Responsible AI Artificial Intelligence Artificial Intelligence 102

John Snow Labs

MARCH 20, 2025

They are designed to elaborate on their thought processes, consider multiple hypotheses, evaluate evidence systematically, and explain conclusions transparently. The Medical LLM Reasoner can track multiple variables, hypotheses, and evidence points simultaneously without losing context. To learn more about Medical LLM Reasoner, visit: [link].

LLM 59

LLM Large Language Models Explainability Responsible AI 59

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

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

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 220

Metadata Explainability Automation Explainable AI 220

AWS Machine Learning Blog

FEBRUARY 20, 2025

The company is committed to ethical and responsible AI development with human oversight and transparency. Verisk is using generative AI to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles.

Generative AI 107

Generative AI LLM Auto-classification Categorization 107

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 130

Artificial Intelligence Artificial Intelligence BERT Computer Vision 130

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

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

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 125

Generative AI Responsible AI AI AI 125

Unite.AI

MARCH 27, 2024

Promoting creative thinking through art, music, or problem-solving enhances adaptability in the AI-dominated environment. Critical thinking skills enable individuals to analyze information objectively, while emotional resilience enables them to handle complex challenges.

Natural Language Processing 278

Natural Language Processing AI AI Algorithm 278