Unite.AI

MARCH 19, 2025

The organization aims to coordinate research efforts to explore the potential for AI to achieve consciousness while ensuring that developments align with human values. By working with policymakers, PRISM seeks to establish ethical guidelines and frameworks that promote responsible AI research and development.

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Unite.AI

MAY 30, 2024

From powering recommendation algorithms on streaming platforms to enabling autonomous vehicles and enhancing medical diagnostics, AI's ability to analyze vast amounts of data, recognize patterns, and make informed decisions has transformed fields like healthcare, finance, retail, and manufacturing.

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AI Developer AI Development AI Tools AI 221

Unite.AI

NOVEMBER 28, 2024

By integrating AI with open-source tools, SAP is creating a new standard for intelligent businesses, helping them adapt and succeed in today’s fast-paced world. Today’s businesses face several challenges, such as managing data from different systems and making quick, informed choices.

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Unite.AI

MARCH 20, 2025

Regulators are paying closer attention to AI bias, and stricter rules are likely in the future. Companies using AI must stay ahead of these changes by implementing responsible AI practices and monitoring emerging regulations. Legal fines and settlements for AI-related discrimination can also be costly.

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Algorithm AI AI Explainability 162

AI News

MARCH 31, 2025

She is the co-founder of the Web Science Research Initiative, an AI Council Member and was named as one of the 100 Most Powerful Women in the UK by Woman’s Hour on BBC Radio 4. A key advocate for responsible AI governance and diversity in tech, Wendy has played a crucial role in global discussions on the future of AI.

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AWS Machine Learning Blog

NOVEMBER 19, 2024

This is where the concept of guardrails comes into play, providing a comprehensive framework for implementing governance and control measures with safeguards customized to your application requirements and responsible AI policies. TDD is a software development methodology that emphasizes writing tests before implementing actual code.

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Automation Responsible AI Generative AI Software Development 117

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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Unite.AI

JULY 14, 2023

Misinformation Tsunami: Undermining Societal Stability The proliferation of AI-generated misinformation has become a ticking time bomb, threatening the fabric of our society. Fake Information/News AI systems can produce convincing and tailored falsehoods at an unprecedented scale.

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Unite.AI

SEPTEMBER 18, 2024

Continuous Monitoring: Anthropic maintains ongoing safety monitoring, with Claude 3 achieving an AI Safety Level 2 rating. Responsible Development: The company remains committed to advancing safety and neutrality in AI development. Code Shield: Provides inference-time filtering of insecure code produced by LLMs.

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Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 304

IBM Journey to AI blog

JANUARY 9, 2024

According to McKinsey & Company , these AI applications have the potential to contribute between USD 2.6 Using insights from extensive collaborations with customers and partners in more than 25 countries, we’re excited to share well-informed predictions and emerging trends for 2024. trillion and 4.4

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Unite.AI

JULY 26, 2024

As the adoption of artificial intelligence (AI) accelerates, large language models (LLMs) serve a significant need across different domains. LLMs excel in advanced natural language processing (NLP) tasks, automated content generation, intelligent search, information retrieval, language translation, and personalized customer interactions.

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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.

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Responsible AI Natural Language Processing Explainability Large Language Models 81

NVIDIA

JANUARY 6, 2025

NVIDIA Cosmos , a platform for accelerating physical AI development, introduces a family of world foundation models neural networks that can predict and generate physics-aware videos of the future state of a virtual environment to help developers build next-generation robots and autonomous vehicles (AVs).

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AI Developer AI Development Robotics Neural Network 139

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.

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Responsible AI Chatbots AI AI 82

AWS Machine Learning Blog

NOVEMBER 7, 2024

In this second part, we expand the solution and show to further accelerate innovation by centralizing common Generative AI components. We also dive deeper into access patterns, governance, responsible AI, observability, and common solution designs like Retrieval Augmented Generation.

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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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Unite.AI

JANUARY 1, 2025

Its also crucial that banks maintain human-in-the-loop strategies to override decisions made by AI, particularly if they believe AI decisions could lead to disciplinary actions. Moreover, ensuring data security and customer privacy in AI applications is critical as banks handle vast amounts of sensitive information.

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Explainable AI AI AI Natural Language Processing 140

Unite.AI

MARCH 22, 2024

It offers a more hands-on and communal way for AI to pick up new skills. Social Learning in LLMs An important aspect of social learning is to exchange the knowledge without sharing original and sensitive information. The focus would be on developing AI systems that can reason ethically and align with societal values.

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AWS Machine Learning Blog

MARCH 14, 2025

This post focuses on RAG evaluation with Amazon Bedrock Knowledge Bases, provides a guide to set up the feature, discusses nuances to consider as you evaluate your prompts and responses, and finally discusses best practices. Jesse Manders is a Senior Product Manager on Amazon Bedrock, the AWS Generative AI developer service.

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AI News

OCTOBER 24, 2024

.” AI Safety Summit: The AI Safety Summit at Bletchley Park highlighted the need for responsible AI development. Cybersecurity challenges: As AI systems handle sensitive or personal information, ensuring their security is paramount.

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Big Data AI AI Prompt Engineer 339

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. aws/models/{service_name}/{version}") dest_file = f"{dest_dir}/service-2.json"

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Automation Generative AI AI AI 165

Unite.AI

JULY 12, 2024

Just as a puzzle solver picks out the most important and distinctive pieces, JEST identifies and selects the most valuable data batches from the dataset, ensuring each batch plays a crucial role in AI development. JEST employs a smaller AI model to evaluate the quality of the data batches.

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Algorithm AI Modeling Generative AI AI 195

AI News

OCTOBER 1, 2024

A lack of knowledge has led to producing responsible AI development and deployment frameworks that are speculative. An example would be the AI risk framework set by the National Institute of Standards and Technology (NIST), which Starzak said were meaningful steps towards the goal.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

While these models are trained on vast amounts of generic data, they often lack the organization-specific context and up-to-date information needed for accurate responses in business settings. By implementing this technique, organizations can improve response accuracy, reduce response times, and lower costs.

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LLM Large Language Models Natural Language Processing Machine Learning 121

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. Public web data should remain accessible to businesses, researchers, and developers. This is not how things should be.

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AI Modeling Automation Explainable AI AI Chatbots 147

Unite.AI

DECEMBER 9, 2024

Not only do our designers and product managers engage regularly with them, but we also have a dedicated user research group that undertakes broader research initiatives, informing our vision and product roadmaps. We analyze both quantitative data and user stories focused on challenges, asking ourselves, “Can AI help in this moment?”

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Unite.AI

JANUARY 20, 2025

Tools like explainable AI (XAI) and interpretable models can help translate complex outputs into clear, understandable insights. Keep Customers in Control: Customers deserve to know when AI is being used and how it impacts them. Trust isnt built overnight, but transparency is the foundation.

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Explainability Explainable AI AI AI 113

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.

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AWS Machine Learning Blog

APRIL 4, 2025

Weve also added new citation metrics for the already-powerful RAG evaluation suite, including citation precision and citation coverage, to help you better assess how accurately your RAG system uses retrieved information. The dataset we used for a RAG evaluation job with BYOI was created using Amazons 10-K SEC filing information.

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AWS Machine Learning Blog

JANUARY 28, 2025

Regular interval evaluation also allows organizations to stay informed about the latest advancements, making informed decisions about upgrading or switching models. By investing in robust evaluation practices, companies can maximize the benefits of LLMs while maintaining responsible AI implementation and minimizing potential drawbacks.

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LLM Large Language Models ML Algorithm 106

ODSC - Open Data Science

MARCH 31, 2023

During the interview, he warned of the risks associated with other AI developers who may not put safety limits on their AI tools. OpenAI, the group behind ChatGPT and GPT-4 , has helped to usher in an AI revolution both in data science and the public’s imagination at large thanks to the chatbot’s ease of use.

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Unite.AI

JULY 3, 2024

This move comes in response to Meta's updated privacy policy , which would have allowed the company to utilize public posts, photos, and captions from its platforms for AI development. The tech giant views the regulatory action as a setback for innovation and AI development in Brazil.

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AI Developer AI Development AI AI 173

Unite.AI

JULY 24, 2024

AI-Driven Performance, Personalization, and Security Enhancements Performance Enhancement Apple’s AI algorithms have altered device operations, making them faster and more responsive. AI optimizes system processes and resource allocation, even under heavy load, ensuring smooth performance.

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Machine Learning NLP AI AI 223

IBM Journey to AI blog

JULY 30, 2024

AI Developer / Software engineers: Provide user-interface, front-end application and scalability support. Organizations in which AI developers or software engineers are involved in the stage of developing AI use cases are much more likely to reach mature levels of AI implementation.

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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. It allows enterprises to leverage their data securely, to rapidly develop AI they can rely on optimized for their industry.

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Explainability Software Engineer AI Modeling Responsible AI 173

Unite.AI

OCTOBER 1, 2024

For example, they can invest in AI systems that are energy-efficient, scalable, and capable of evolving with technological advancements. Additionally, integrating sustainability metrics into AI development and deployment processes can help organizations track their progress and make informed decisions that support long-term objectives.

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AI Strategy AI AI Responsible AI 277

TensorFlow

APRIL 4, 2023

Posted by Bhaktipriya Radharapu, Software Engineer, Google Research One of the key goals of Responsible AI is to develop software ethically and in a way that is responsive to the needs of society and takes into account the diverse viewpoints of users.

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