Flipboard

JULY 28, 2023

Paige Vickers/Vox; Getty Images The AI debate splitting the tech world, explained. Last week, Meta made a game-changing move in the world of AI. Zuckerberg also made the case for why it’s better for leading AI models to be “open source,” which means making the technology’s underlying code largely available for anyone to use.

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Unite.AI

JULY 3, 2023

What is the Cranium AI Card and what key insights does it reveal ? The Cranium AI Card allows organizations to efficiently gather and share information about the trustworthiness and compliance of their AI models with both clients and regulators and gain visibility into the security of their vendors’ AI systems.

Responsible AI 162

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NVIDIA

MARCH 1, 2024

Developers of trustworthy AI understand that no model is perfect, and take steps to help customers and the general public understand how the technology was built, its intended use cases and its limitations.

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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. Check out the GitHub and Reference Article.

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IBM Journey to AI blog

OCTOBER 16, 2023

It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

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IBM Journey to AI blog

MAY 2, 2023

The introduction of generative AI systems into the public domain exposed people all over the world to new technological possibilities, implications, and even consequences many had yet to consider. We don’t need a pause to prioritize responsible AI. The stakes are simply too high, and our society deserves nothing less.

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ODSC - Open Data Science

FEBRUARY 12, 2024

It’s often hard to extract value from predictive models because they lack explainability and can be challenging to implement effectively. Augmented analytics — which automates more of the analytics journey through AI — can address conventional obstacles to make it easier to turn data into relevant, accurate and actionable insights.

Automation 98

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Unite.AI

APRIL 30, 2024

AI models, particularly chatbots, learn from interactions through various learning paradigms, for example: In supervised learning , chatbots learn from labeled examples, such as historical conversations, to map inputs to outputs.

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ODSC - Open Data Science

OCTOBER 3, 2023

If you’re unfamiliar, a prompt engineer is a specialist who can do everything from designing to fine-tuning prompts for AI models, thus making them more efficient and accurate in generating human-like text. This role is pivotal in harnessing the full potential of large language models.

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ODSC - Open Data Science

JUNE 27, 2023

Who Are AI Builders, AI Users, and Other Key Players? AI Builders AI builders are the data scientists, data engineers, and developers who design AI models. The goals and priorities of responsible AI builders are to design trustworthy, explainable, and human-centered AI.

Data Scientist 98

Data Scientist AI AI Responsible AI 98

NYU Center for Data Science

JANUARY 3, 2024

We wanted to develop a framework for understanding the toxicity of language that would take into account more than just what’s shown explicitly in the text,” Gabriel explains. This focus on the implicit meanings and the social context of language in AI models is crucial in an era where digital communication is omnipresent.

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Becoming Human

APRIL 19, 2024

This involves thoroughly examining training data, adjusting algorithms for fairness, and continuously monitoring and updating models to address emerging biases. Transparency and Explainability Transparency in AI systems is crucial for building trust among users and stakeholders.

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ODSC - Open Data Science

AUGUST 29, 2023

Since OpenAI’s ChatGPT kicked down the door and brought large language models into the public imagination, being able to fully utilize these AI models has quickly become a much sought-after skill. With that said, companies are now realizing that to bring out the full potential of AI, prompt engineering is a must.

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Prompt Engineer Prompt Engineering Large Language Models Natural Language Processing 98

Marktechpost

NOVEMBER 23, 2023

This technical prowess positions Leonardo as a crucial asset for advancing AI applications across Europe​​. REAL AI’s unique opportunity- “We aim to provide Europe’s answer to responsible AI development. Together with UNINA and AI supercomputer cluster ‘Leonardo’, we can make this possible”.

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IBM Journey to AI blog

FEBRUARY 22, 2024

Further, according to the IBM Institute of Business Value , 79% of executives say AI ethics is important to their enterprise-wide AI approach, yet less than 25% have operationalized common principles of AI ethics. Earning trust in the outputs of AI models is a sociotechnical challenge that requires a sociotechnical solution.

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IBM Journey to AI blog

FEBRUARY 8, 2023

Gartner predicts that the market for artificial intelligence (AI) software will reach almost $134.8 Achieving Responsible AI As building and scaling AI models for your organization becomes more business critical, achieving Responsible AI (RAI) should be considered a highly relevant topic.

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ODSC - Open Data Science

JANUARY 1, 2024

Webinars Under our Ai+ Training platform, we host playlists of past webinars that we’ve held with Microsoft. Here, we have several different playlists, including machine & deep learning , NLP , responsible AI, model explainability, and other miscellaneous data science topics.

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IBM Journey to AI blog

MARCH 4, 2024

Operations Incidents occur, even in an AI-first world. However, an AI+ enterprise uses AI not only to delight customers but also to solve IT problems. The scale and impact of next-generation AI emphasize the importance of governance and risk controls.

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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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Unite.AI

APRIL 9, 2024

The adoption of Artificial Intelligence (AI) has increased rapidly across domains such as healthcare, finance, and legal systems. However, this surge in AI usage has raised concerns about transparency and accountability. Composite AI is a cutting-edge approach to holistically tackling complex business problems.

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ODSC - Open Data Science

FEBRUARY 5, 2024

This surge is largely due to enhanced support for ONNX models and significant improvements in text embedding calculation, essential for retrieval augmented generation LLM solutions. The NLP Lab platform, a no-code solution for AI model training and publishing, has seen a fivefold increase in usage.

NLP 52

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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. A prompt can be anything from a string of words or a big sentence to a code block.

Prompt Engineer 113

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ODSC - Open Data Science

JANUARY 10, 2024

Andre Franca | CTO | connectedFlow Explore the world of Causal AI for data science practitioners, with a focus on understanding cause-and-effect relationships within data to drive optimal decisions. Takeaways include: The dangers of using post-hoc explainability methods as tools for decision-making, and where traditional ML falls short.

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IBM Journey to AI blog

AUGUST 16, 2023

” We’ll come back to this story in a minute and explain how it relates to ChatGPT and trustworthy AI. As the world of artificial intelligence (AI) evolves, new tools like OpenAI’s ChatGPT have gained attention for their conversational capabilities.

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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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ODSC - Open Data Science

FEBRUARY 17, 2023

Learn more about how you can volunteer for either the in-person or virtual team and get a free ticket to the event. — — — — — Upcoming Webinars: Responsible AI: Debugging AI models for errors, fairness, and explainability Tue, Feb 21, 2023, 12:00 PM — 1:00 PM EST This session will illustrate how to use model Error Analysis, Data Analysis, Explainability/Interpretability, (..)

ML 52

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ODSC - Open Data Science

FEBRUARY 10, 2023

Upcoming Webinars: Predicting Employee Burnout at Scale Wed, Feb 15, 2023, 12:00 PM — 1:00 PM EST Join us to learn about how we used deidentification and feature selection on employee data across different clients and industries to create models that accurately predict who will burnout.

NLP 52

NLP ML Data Mining Data Science 52

Pickl AI

APRIL 26, 2024

The Black Box Conundrum Many complex AI systems, particularly deep learning models, are often considered “black boxes.” This lack of explainability can be problematic, especially in applications with high stakes, such as healthcare or criminal justice. How can we ensure responsible AI development?

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Unite.AI

JUNE 19, 2023

He's former Gartner and MIT, and it's a really good book to explain a monetization framework for data. I'm hoping that this hype right now on the generative AI actually continues to drive that discussion with those capabilities forward. Can you discuss how responsible AI and reducing AI bias is really important to you.

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Generative AI Responsible AI Artificial Intelligence Artificial Intelligence 244

Ofemwire

MARCH 1, 2024

AI-generated content should focus on delivering accurate information, engaging narratives, and useful insights while incorporating SEO best practices to maintain quality and relevance. Explain the different ad formats available on each platform, targeting options, and bidding strategies.

AI 111

AI AI Natural Language Processing Explainability 111

ODSC - Open Data Science

FEBRUARY 6, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI.

Large Language Models 52

Large Language Models LLM Big Data NLP 52

Viso.ai

DECEMBER 18, 2023

An example is a privacy-preserving solution for developing healthcare AI models. Visual synthetic data involves artificially generated images to enhance ML models’ training by providing diverse and privacy-conscious datasets – source. This allows for: Developing Robust and Generalizable AI Models.

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IBM Journey to AI blog

OCTOBER 12, 2023

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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John Snow Labs

MAY 15, 2023

The underlying principles behind the NLP Test library: Enabling data scientists to deliver reliable, safe and effective language models. Responsible AI: Getting from Goals to Daily Practices How is it possible to develop AI models that are transparent, safe, and equitable?

NLP 52

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ODSC - Open Data Science

JANUARY 29, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. Scaling Laws These are more advanced and emerging areas in AI.

Prompt Engineer 52

Prompt Engineer Prompt Engineering LLM Data Science 52

Marktechpost

DECEMBER 6, 2023

Google’s latest venture into artificial intelligence, Gemini, represents a significant leap forward in AI technology. Unveiled as an AI model of remarkable capability, Gemini is a testament to Google’s ongoing commitment to AI-first strategies, a journey that has spanned nearly eight years.

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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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