AI News

FEBRUARY 23, 2024

Stability AI said it is also working with experts to test Stable Diffusion 3 and ensure it mitigates potential harms, similar to OpenAI’s approach with Sora. “We We believe in safe, responsible AI practices. Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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AI News

MARCH 7, 2024

Stability AI, in previewing Stable Diffusion 3, noted that the company believed in safe, responsible AI practices. OpenAI is adopting a similar approach with Sora ; in January, the company announced an initiative to promote responsible AI usage among families and educators. appeared first on AI News.

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AI News

APRIL 24, 2024

. “Because it’s reading from textbook-like material…you make the task of the language model to read and understand this material much easier,” Bubeck explained. Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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AI News

AUGUST 20, 2024

About a year ago, the fund also provided its invested companies with recommendations on integrating responsible AI to improve economic outcomes. In its engagement with tech firms, the fund emphasises the importance of robust governance structures to manage AI-related risks. Do you have a proper policy on AI?”

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AI News

JULY 16, 2024

“Sizeable productivity growth has eluded UK workplaces for over 15 years – but responsible AI has the potential to shift the paradigm,” explained Daniel Pell, VP and country manager for UK&I at Workday. ” Despite the optimistic outlook, the path to AI adoption is not without obstacles.

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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.

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Flipboard

DECEMBER 18, 2023

Over the last few months, EdSurge webinar host Carl Hooker moderated three webinars featuring field-expert panelists discussing the transformative impact of artificial intelligence in the education field. He explains that his district chose not to pursue a formal policy on AI primarily for two reasons.

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AWS Machine Learning Blog

OCTOBER 29, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

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Marktechpost

AUGUST 31, 2024

This creates a significant obstacle for real-time applications that require quick response times. Researchers from Microsoft Responsible AI present a robust workflow to address the challenges of hallucination detection in LLMs. This creates a mix of true positive and false positive cases for analysis.

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IBM Journey to AI blog

JUNE 23, 2023

If poorly executed, these reports can limit our ability to explain the underlying drivers of performance. AI analyzes financial statements, notes, disclosures and other and applicable data, then translates and interprets the data to provide context-rich answers to your questions.

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Becoming Human

APRIL 19, 2024

Transparency and Explainability Transparency in AI systems is crucial for building trust among users and stakeholders. This lack of explainability raises concerns about accountability and the potential for unintended consequences. AI consultants must prioritize transparency by adopting models and techniques for interpretability.

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Marktechpost

SEPTEMBER 19, 2024

One of the main hurdles that companies like Mistral AI face is the issue of responsible AI usage. Mistral AI has acknowledged this challenge and has implemented various safety measures & guidelines to ensure that Pixtral 12B is used responsibly. If you like our work, you will love our newsletter.

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ODSC - Open Data Science

JANUARY 1, 2024

Over the years, ODSC has developed a close relationship with them, working together to host webinars, write blogs, and even collaborate on sessions at ODSC conferences. Below, you’ll find a rundown of all of our Microsoft and ODSC collaborative efforts, including past webinars & talks, blogs, and more.

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Unite.AI

JUNE 17, 2024

As businesses increasingly rely on AI and data-driven decision making, the issues of data security, privacy, and governance have indeed come to the forefront. 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.

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John Snow Labs

APRIL 23, 2024

mean response) was of higher importance than reproducibility (3.91), legal and reputation risk (3.89), explainability and transparency (3.83), and cost (3.8). Finally, the survey explores the large amount of remaining work in applying responsible AI principles in healthcare GenAI projects.

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ODSC - Open Data Science

FEBRUARY 17, 2023

How to build stunning Data Science Web applications in Python Thu, Feb 23, 2023, 12:00 PM — 1:00 PM EST This webinar presents Taipy, a new low-code Python package that allows you to create complete Data Science applications, including graphical visualization and the management of algorithms, models, and pipelines.

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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.

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John Snow Labs

MAY 29, 2024

Reasoning about patients: Fusing information across multiple modalities (tabular data, free text, imaging, omics) to create a longitudinal view of each patient, including making reasonable inferences and explaining them.

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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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AI News

APRIL 25, 2024

The current incarnation of Pryon has aimed to confront AI’s ethical quandaries through responsible design focused on critical infrastructure and high-stakes use cases. “[We We wanted to] create something purposely hardened for more critical infrastructure, essential workers, and more serious pursuits,” Jablokov explained.

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ODSC - Open Data Science

JANUARY 23, 2024

In an ODSC webinar , Pandata’s Nicolas Decavel-Bueff and myself ( Cal Al-Dhubaib ) partnered with Data Stack Academy’s Parham Parvizi to share some of the lessons we’ve learned from building enterprise-grade large language models (LLMs) — and tips on how data scientists and data engineers can get started as well.

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AI News

JUNE 28, 2024

Microsoft has disclosed a new type of AI jailbreak attack dubbed “Skeleton Key,” which can bypass responsible AI guardrails in multiple generative AI models. The Skeleton Key jailbreak employs a multi-turn strategy to convince an AI model to ignore its built-in safeguards. “In

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AI News

FEBRUARY 10, 2025

Cloke also stressed the role of organisations in ensuring AI adoption goes beyond regulatory frameworks. Modernising core systems enables organisations to better harness AI while ensuring regulatory compliance, he explained. Leslie called for a renewed focus on public interest AI.

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Marktechpost

NOVEMBER 28, 2024

The platform has enabled groundbreaking solutions that showcase AI’s transformative potential. Pfizer has accelerated critical medicine research and delivery timelines, while Intuit explains complex tax calculations for millions of users. If you like our work, you will love our newsletter.

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AI News

FEBRUARY 24, 2025

Stiefel argued that applying these same principles to AI systems is the logical next step. Providing better transparency for citizens and government employees not only improves security, he explained, but also gives visibility into a models datasets, training, weights, and other components.

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