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. All Credit For This Research Goes To the Researchers on This Project.

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AWS Machine Learning Blog

MARCH 21, 2025

Amazon Bedrock is a fully managed service that provides a single API to access and use various high-performing foundation models (FMs) from leading AI companies. It offers a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI practices. samples/2003.10304/page_5.png"

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Unite.AI

JANUARY 12, 2024

Competitions also continue heating up between companies like Google, Meta, Anthropic and Cohere vying to push boundaries in responsible AI development. The Evolution of AI Research As capabilities have grown, research trends and priorities have also shifted, often corresponding with technological milestones.

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Marktechpost

DECEMBER 6, 2023

It can understand, explain, and generate high-quality code in multiple programming languages, a feature that positions it as one of the leading foundation models for coding. All credit for this research goes to the researchers of this project. In terms of coding, Gemini Ultra showcases remarkable proficiency.

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NYU Center for Data Science

DECEMBER 12, 2023

The Center for Responsible AI (NYU R/AI) is leading this charge by embedding ethical considerations into the fabric of artificial intelligence research and development. The Center for Responsible AI is a testament to NYU’s commitment to pioneering research that upholds and advances these ideals.

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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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Prompt Engineering Prompt Engineer Large Language Models Responsible AI 52

Marktechpost

JULY 4, 2023

In models like DALLE-2, prompt engineering includes explaining the required response as the prompt to the AI model. Avoiding accidental consequences: AI systems trained on poorly designed prompts can lead to consequences. By carefully fashioning the prompts used in AI training, systems can be unbiased and harmful.

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Prompt Engineering Prompt Engineer Artificial Intelligence Artificial Intelligence 113

John Snow Labs

JANUARY 25, 2024

The Medical Chatbot is designed to help experts stay current with medical research, case reports, trials, terminologies, and their organization’s private content, all using a simple natural language interface. Follow John Snow Labs and #NLPSummit on LinkedIn for the latest news and updates.

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ODSC - Open Data Science

OCTOBER 3, 2023

So be sure to stay up-to-date with the latest advancements in AI research and model updates, as this field evolves rapidly. Linguistic Expertise Prompts are essentially instructions given to AI models, and they are often in the form of natural language.

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Prompt Engineering Prompt Engineer Large Language Models Data Science 97

NYU Center for Data Science

NOVEMBER 26, 2024

CDS Faculty Fellow Umang Bhatt l eading a practical workshop on Responsible AI at Deep Learning Indaba 2023 in Accra In Uganda’s banking sector, AI models used for credit scoring systematically disadvantage citizens by relying on traditional Western financial metrics that don’t reflect local economic realities.

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AWS Machine Learning Blog

MAY 9, 2024

Additionally, pay special attention to the changing nature of the risk and cost that is associated with the development as well as the scaling of AI. To provide ethical integrity , an AI/ML CoE helps integrate robust guidelines and safeguards across the AI/ML lifecycle in collaboration with stakeholders.

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Towards AI

FEBRUARY 14, 2023

OpenAI, on the other hand, is an AI research laboratory that was founded in 2015. The organization is dedicated to developing AI technologies that are safe and beneficial for society, with a particular focus on generative AI.

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Unite.AI

JUNE 17, 2024

In the context of AI specifically, companies should be transparent about where and how AI is being used, and what impact it may have on customers' experiences or decisions. Companies should have mechanisms in place to ensure that their AI models are fair, unbiased, and aligned with ethical principles.

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John Snow Labs

JANUARY 29, 2024

John Snow Labs is leading efforts in responsible AI for healthcare through the development of the open-source LangTest library, which now supports over 100 test types of benchmarks that can automatically evaluate LLMs.

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Natural Language Processing Chatbots NLP Large Language Models 52

ODSC - Open Data Science

FEBRUARY 25, 2025

Whats Next in AI TrackExplore the Cutting-Edge Stay ahead of the curve with insights into the future of AI. This track brings together industry pioneers and leading researchers to showcase the breakthroughs shaping tomorrows AI landscape.

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ODSC - Open Data Science

FEBRUARY 18, 2025

Recent breakthroughs include OpenAIs GPT models, Google DeepMinds AlphaFold for protein folding, and AI-powered robotic assistants in industrial automation. These innovations enable AI to transition from tool-like applications to fully autonomous problem-solvers.

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Allen AI

JULY 27, 2023

The AI2 ImpACT License Project: Open, Responsible AI Licenses for the Common Good A new way to think about AI licensing By Jen Dumas, Crystal Nam, Will Smith, David Atkinson, and Nicole DeCario AI Is Everywhere; What Are the Risks? We welcome your feedback on this initiative: please reach us at ai2impact@allenai.org.

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Heartbeat

AUGUST 4, 2023

“Our intelligence is what makes us human, and AI is an extension of that quality.” — Yann LeCun A new milestone is recorded almost every week as we experience the renaissance of artificial intelligence (AI) research and development. Segment anything model workflow by Meta AI Where does “Responsible AI” fit into this work?

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Prompt Engineering Prompt Engineer Computer Vision Deep Learning 52

Viso.ai

SEPTEMBER 12, 2024

Key Features: Opens up data-sharing Requires attribution Possibly use provisions on the integrity of data and attribution Use Cases: Suitable for public datasets used in AI research. Perfect for public data projects and community-driven AI initiatives. Its purpose is to prevent misuse of AI that can harm people or society.

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AI AI Responsible AI Computer Vision 52

Dlabs.ai

MARCH 17, 2021

He also runs his own YouTube channel , where he explains basic concepts of AI, shows how to use them, and talks through technological trends for the coming years. Fei-Fei Li Twitter The next person on the list is one of the most important women in AI, Dr Fei-Fei Li.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

Tens of thousands of customers use Amazon SageMaker, and an increasing number of them like LG AI Research, Perplexity AI, AI21, Hugging Face, and Stability AI are training LLMs and other FMs on SageMaker. In this role, Swami oversees all AWS Database, Analytics, and AI & Machine Learning services.

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Pickl AI

JULY 14, 2023

Significantly, McCarthy coined the term “Artificial Intelligence” and organized the Dartmouth Conference in 1956, which is considered the birth of AI as a field. Knowledge-Based Systems and Expert Systems (1960s-1970s): During this period, AI researchers focused on developing rule-based systems and expert systems.

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Viso.ai

DECEMBER 18, 2023

Behavior Analysis for Next Action Behavior analysis is the process of understanding and explaining how subjects act or react in certain contexts. Researchers will be able to explore new ideas and test hypotheses without the constraints of limited real-world data. This allows organizations to prepare for and mitigate potential risks.

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Heartbeat

OCTOBER 12, 2023

From recognizing objects in images to discerning sentiment in audio clips, the amalgamation of language models with multi-modal learning opens doors to uncharted possibilities in AI research, development, and application in industries ranging from healthcare and entertainment to autonomous vehicles and beyond.

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Large Language Models Neural Network Convolutional Neural Networks Artificial Intelligence 59

Snorkel AI

MARCH 19, 2024

Google has established itself as a dominant force in the realm of AI, consistently pushing the boundaries of AI research and innovation. Vertex AI, Google’s comprehensive AI platform, plays a pivotal role in ensuring a safe, reliable, secure, and responsible AI environment for production-level applications.

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Snorkel AI

MARCH 19, 2024

Google has established itself as a dominant force in the realm of AI, consistently pushing the boundaries of AI research and innovation. Vertex AI, Google’s comprehensive AI platform, plays a pivotal role in ensuring a safe, reliable, secure, and responsible AI environment for production-level applications.

Data Scientist 52

Data Scientist AI AI Chatbots 52

Topbots

JULY 7, 2023

If this in-depth educational content is useful for you, you can subscribe to our AI research mailing list to be alerted when we release new material. Then, explain the available cars that match their preferences”. Transparency and security are key in building trust and ensuring responsible AI usage.

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ChatGPT Metadata OpenAI Natural Language Processing 52

Google Research AI blog

JANUARY 24, 2023

Posted by Marian Croak, VP, Google Research, Responsible AI and Human-Centered Technology The last year showed tremendous breakthroughs in artificial intelligence (AI), particularly in large language models (LLMs) and text-to-image models. The 10 shades of the Monk Skin Tone Scale.

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AWS Machine Learning Blog

JUNE 25, 2024

This post aims to explain the concept of guardrails, underscore their importance, and covers best practices and considerations for their effective implementation using Guardrails for Amazon Bedrock or other tools. About the Authors Harel Gal is a Solutions Architect at AWS, specializing in Generative AI and Machine Learning.

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IBM Journey to AI blog

JUNE 20, 2024

AI risk management focuses specifically on identifying and addressing vulnerabilities and threats to keep AI systems safe from harm. AI governance establishes the frameworks, rules and standards that direct AI research, development and application to ensure safety, fairness and respect for human rights.

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