Unite.AI

APRIL 9, 2024

Composite AI plays a pivotal role in enhancing interpretability and transparency. Combining diverse AI techniques enables human-like decision-making. Key benefits include: reducing the necessity of large data science teams. Explainability is essential for accountability, fairness, and user confidence.

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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.

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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].

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NVIDIA

OCTOBER 18, 2023

Responsible AI is hot on its heels. Julia Stoyanovich, associate professor of computer science and engineering at NYU and director of the university’s Center for Responsible AI , wants to make the terms “AI” and “responsible AI” synonymous. Artificial intelligence is now a household term.

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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.

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ODSC - Open Data Science

OCTOBER 21, 2024

As AI systems become increasingly embedded in critical decision-making processes and in domains that are governed by a web of complex regulatory requirements, the need for responsible AI practices has never been more urgent. But let’s first take a look at some of the tools for ML evaluation that are popular for responsible AI.

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Unite.AI

JULY 3, 2023

Jonathan Dambrot is the CEO & Co-Founder of Cranium AI , an enterprise that helps cybersecurity and data science teams understand everywhere that AI is impacting their systems, data or services. How does Cranium AI assist companies with abiding by this Bill of Rights?

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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.

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NYU Center for Data Science

OCTOBER 4, 2024

Meet Emily Black , who is joining CDS this fall as Assistant Professor of Computer Science, Engineering, and Data Science. Black brings her expertise in responsible AI, algorithmic fairness, and technology policy to address critical challenges at the intersection of machine learning and societal impact.

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ODSC - Open Data Science

OCTOBER 26, 2023

With the rapid advance of AI across industries, responsible AI has become a hot topic for decision-makers and data scientists alike. But with the advent of easy-to-access generative AI, it’s now more important than ever. So don’t miss out, and see for yourself what’s on the horizon for AI.

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ODSC - Open Data Science

FEBRUARY 12, 2024

Now that virtually every company is capitalizing on data, analytics alone isn’t enough to surge ahead of the competition. You must be able to analyze data faster, more accurately, and within context. It’s often hard to extract value from predictive models because they lack explainability and can be challenging to implement effectively.

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ODSC - Open Data Science

MAY 22, 2023

He said of Google that the company “ acted very responsibly ” regarding AI technology. He also went on to explain to MIT Technology Review that there are also “ a lot of good things about Google. ” You can also get data science training on-demand wherever you are with our Ai+ Training platform.

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ODSC - Open Data Science

FEBRUARY 26, 2023

He explains his stance, “ Yeah, digitally. The move could also spark up a much-needed conversation when it comes to responsible AI within the film industry and the ethical implications of its use. For the actor, he has more concerns about AI, than movies. This is quite significant.

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AWS Machine Learning Blog

JANUARY 31, 2025

By providing the FM with examples and other prompting techniques, we were able to significantly reduce the variance in the structure and content of the FM output, leading to explainable, predictable, and repeatable results. George Lee is AVP, Data Science & Generative AI Lead for International at Travelers Insurance.

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NVIDIA

OCTOBER 1, 2024

Key Speakers and Sessions Throughout the conference, speakers will touch on sustainability, economic development and AI for good. Pette will explain how NVIDIA’s accelerated computing platform enables advancements in sensor processing, autonomous systems, and digital twins.

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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.

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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

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.

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Snorkel AI

FEBRUARY 22, 2023

Ian Eisenberg is the Head of Data Science at Credo AI. 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.

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Snorkel AI

FEBRUARY 22, 2023

Ian Eisenberg is the Head of Data Science at Credo AI. 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.

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NYU Center for Data Science

JUNE 16, 2023

Motivated by applications in healthcare and criminal justice, Umang studies how to create algorithmic decision-making systems endowed with the ability to explain their behavior and adapt to a stakeholder’s expertise to improve human-machine team performance. IEEE Spectrum , Amazon Science ) and referenced in policy briefs (e.g.,

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IBM Journey to AI blog

JANUARY 10, 2024

Artificial intelligence (AI) refers to the convergent fields of computer and data science focused on building machines with human intelligence to perform tasks that would previously have required a human being. For example, learning, reasoning, problem-solving, perception, language understanding and more.

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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)?

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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

ODSC - Open Data Science

DECEMBER 5, 2023

Sarah Bird, PhD | Global Lead for Responsible AI Engineering | Microsoft —  Read the recap here! Jepson Taylor | Chief AI Strategist | Dataiku Thomas Scialom, PhD | Research Scientist (LLMs) | Meta AI Nick Bostrom, PhD | Professor, Founding Director | Oxford University, Future of Humanity Institute —  Read the recap here!

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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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Marktechpost

NOVEMBER 23, 2023

During Data Science Conference 2023 in Belgrade on Thursday, 23 November, it was announced that Real AI won the ISCRA project. Real AI is chosen to build Europe’s first-ever Human-Centered LLM on the world’s 4th largest AI Computer Cluster ‘LEONARDO’. – Tarry Singh , CEO of Real AI B.V.

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ODSC - Open Data Science

AUGUST 29, 2023

AI Prompt Engineers are responsible for crafting and refining the prompts or queries that users input to AI models. Often, NLP engineers who specialize in prompt engineering will work closely with domain experts, where they create prompts that extract insights, support decision-making, and ensure responsible AI interactions.

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ODSC - Open Data Science

OCTOBER 3, 2023

So being able to convey your ideas, explain the rationale behind your prompts, and receive feedback from a diverse group of people is crucial when it comes to success. Being able to articulate the ethical considerations surrounding AI-generated content is vital in maintaining trust and accountability. Get your pass today !

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AWS Machine Learning Blog

NOVEMBER 19, 2024

Fourth, we’ll address responsible AI, so you can build generative AI applications with responsible and transparent practices. Fifth, we’ll showcase various generative AI use cases across industries. And finally, get ready for the AWS DeepRacer League as it takes it final celebratory lap.

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The MLOps Blog

JUNE 27, 2023

This includes features for model explainability, fairness assessment, privacy preservation, and compliance tracking. Google Cloud Vertex AI Google Cloud Vertex AI provides a unified environment for both automated model development with AutoML and custom model training using popular frameworks. Check out the Metaflow Docs.

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AWS Machine Learning Blog

NOVEMBER 14, 2024

This includes: Risk assessment : Identifying and evaluating potential risks associated with AI systems. Transparency and explainability : Making sure that AI systems are transparent, explainable, and accountable. Human oversight : Including human involvement in AI decision-making processes.

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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. to a complex request like ‘Generate a list of customized questions for my Data Science interview tomorrow’ by providing context in the form of a prompt.

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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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ODSC - Open Data Science

JANUARY 1, 2024

Everyone knows Microsoft, as before they were a leader in data science and AI, they were a leader in software and technology — and still are. Webinars Under our Ai+ Training platform, we host playlists of past webinars that we’ve held with Microsoft. Interested in attending an ODSC event?

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ODSC - Open Data Science

NOVEMBER 21, 2023

Though there are great potential benefits, it is important to ensure this technology is developed and used responsibly. In her keynote speech at ODSC West, Sarah Bird, Global Lead for Responsible AI Engineering at Microsoft, discussed Microsoft’s journey in building and using generative AI responsibly.

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ODSC - Open Data Science

FEBRUARY 27, 2024

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.

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