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Responsible AI can revolutionize tax agencies to improve citizen services

IBM Journey to AI blog

However, the latest CEO Study by the IBM Institute for the Business Value found that 72% of the surveyed government leaders say that the potential productivity gains from AI and automation are so great that they must accept significant risk to stay competitive. Learn more about how watsonx can help usher in governments into the future.

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Google Research, 2022 & Beyond: Responsible AI

Google Research AI blog

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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Responsible AI at Google Research: PAIR

Google Research AI blog

We continue to focus on making AI more understandable, interpretable, fun, and usable by more people around the world. It’s a mission that is particularly timely given the emergence of generative AI and chatbots. In this blog post, we review recent PAIR work that is changing the way we engage with AI.

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Building trust in the government with responsible generative AI implementation

IBM Journey to AI blog

At the end of 2023, a survey conducted by the IBM® Institute for Business Value (IBV) found that respondents believe government leaders often overestimate the public’s trust in them. This platform offers a seamless, efficient and responsible approach to AI development across various environments.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. This includes features for model explainability, fairness assessment, privacy preservation, and compliance tracking.

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Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI…

ODSC - Open Data Science

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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Benjamin Ogden, Founder & CEO of DataGenn AI – Interview Series

Unite.AI

Developing a social blogging community and running a company as the CEO of thoughts.com from 2007-2012 was a great learning experience and career transformer for me. Can you share the genesis story behind DataGenn AI? There are many highlights as I’ve been running businesses as an entrepreneur since I was a kid age 6 or 7.