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Celebrating the women of IBM AI Ethics

IBM Journey to AI blog

Women have played key roles in initiatives throughout the organization, including the rise of AI. “Women are as capable as anybody else to contribute to the technical development of AI, and they also care deeply about the impact of AI on people and society. It also honors the strong women leading IBM forward.

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Joe Regensburger, VP of Research, Immuta – Interview Series

Unite.AI

Aleader in data security, Immuta enables organizations to unlock value from their cloud data by protecting it and providing secure access. Following the NIST cybersecurity framework , Immuta covers the majority of data security needs for most organizations. Joe Regensburger is currently the Vice President of Research at Immuta.

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US Launches Data Privacy Framework Program Website: Here’s What You Should Know

ODSC - Open Data Science

The United States Department of Commerce has just unveiled its Data Privacy Framework Program (DPF) website , which provides more than just information about ensuring data privacy. Clarifying data privacy Before going into the DPF details, here’s a brief overview of data privacy.

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Delivering responsible AI in the healthcare and life sciences industry

IBM Journey to AI blog

The COVID-19 pandemic revealed disturbing data about health inequity. According to the NIH, these disparities were due to limited access to care, inadequacies in public policy and a disproportionate burden of comorbidities, including cardiovascular disease, diabetes and lung diseases. The NIH further stated that between 47.5

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The most important AI trends in 2024

IBM Journey to AI blog

2024 thus stands to be a pivotal year for the future of AI, as researchers and enterprises seek to establish how this evolutionary leap in technology can be most practically integrated into our everyday lives. The evolution of generative AI has mirrored that of computers, albeit on a dramatically accelerated timeline.

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Announcing new tools and capabilities to enable responsible AI innovation

AWS Machine Learning Blog

At AWS, we are committed to developing generative AI responsibly, taking a people-centric approach that prioritizes education, science, and our customers, to integrate responsible AI across the end-to-end AI lifecycle. Guardrails drive consistency in how FMs on Amazon Bedrock respond to undesirable and harmful content within applications.

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Is Rapid AI Adoption Posing Serious Risks for Corporations?

ODSC - Open Data Science

This is a promising shift for AI developers, and many organizations have realized impressive benefits from the technology, but it also comes with significant risks. However, 74% of adopters have not taken steps to reduce unintended bias, 60% haven’t formed ethical AI policies, and 52% don’t guard data privacy throughout the AI life cycle.