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The Register: No major AI model is safe, but some do better than others

Marketing

September 18, 2024

We're pleased to share that analysis using Chatterbox Labs' AIMI platform has been published in the respected news outlet, The Register.  The article features comment from both Chatterbox Labs and Anthropic.   From the article: Anthropic has positioned itself as a leader in AI safety, and in a recent analysis by Chatterbox Labs, that proved to […]

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Generative AI is great, but it’s just one of many AI technologies

Stuart Battersby

July 12, 2024

After generative AI burst onto the enterprise tech scene (powered by a rather large kick from OpenAI), business people who didn’t usually talk about AI really started getting enthused by its potential.  This included senior executives who, armed with this newfound generative AI started allocating new, sizable budgets. This was great for the AI industry, […]

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AI Risk; On-Device AI Needs Independent Safeguards

Stuart Battersby

June 7, 2024

I recently wrote about small language models as the future of enterprise generative AI; here I want to build on this to look specifically at the implications of mass adoption of generative AI models on-device (that is, running locally on your laptop, tablet or phone). With hundreds of millions of laptops and over a billion […]

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Mitigating today’s enterprise AI risks and not hallucination moonshots

Marketing

May 29, 2024

AI has been proliferating across enterprise and government organizations for years now.  Whilst the widespread launch of generative AI models (that is, AI models that generate content – typically text) has captured everyone’s attention, traditional AI (that is, AI that operates on set tasks) has been, and still is, growing in its use. Both traditional […]

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Dr Battersby presenting at the Department of Defense AI Symposium

Marketing

February 20, 2024

For those that are attending the Department of Defense, CDAO Advantage Symposium in Washington DC we would like to invite you to see Chatterbox Labs' Chief Technology Officer, Dr Stuart Battersby, present our patented AI Model Insights platform and three years of collaborative work with the Department.   Stuart will be speaking in the Responsible […]

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Deploying AIMI with MLflow; customer example

Marketing

February 7, 2024

At Chatterbox Labs, our patented AI Model Insights platform (which we call AIMI for short), enables organizations to ensure that their AI is operating in a responsible, ethical and trustworthy manner.   Today, we’re going to take a look at how one of our customers is making use of the flexible deployment and integration options that AIMI […]

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Chatterbox Labs & VMware; Addressing Multicloud Responsible and Private AI Together

Marketing

October 20, 2023

Originally posted by VMware:  https://blogs.vmware.com/tap/2023/10/19/chatterbox-labs-vmware/  As Artificial Intelligence (AI) scales across Government & Enterprise, it is critical that appropriate guardrails are put in place to ensure it operates in a manner that is ethical, trustworthy, responsible, safe and secure. Whilst media focuses attention on headline AI use cases such as self-driving cars, public and private […]

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Don’t overlook independence in Responsible AI

Marketing

March 20, 2023

Chatterbox Labs' CTO, Dr Stuart Battersby, authored the guest article "Don't overlook independence in Responsible AI" on InsideBIGDATA.  From the article... The arrival of ChatGPT and other large language models (LLMs) has brought the notion of AI ethics to mainstream discussion.  This is good because it shines a light on the area of work which […]

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REAIM 23: How to Scale Responsible AI Presentation

Marketing

February 20, 2023

Our CTO, Dr Stuart Battersby, joined leaders from around the world in The Hague in February 2023 to present at the REAIM conference on Responsible AI.  You can see the talk below: How to Scale Responsible AI Across Government & Military Read any article about AI today and you’re likely to be reminded of the need […]

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Validate Data Fairness and Privacy for Responsible AI

Stuart Battersby

November 24, 2022

What is unique about machine learning and AI compared to traditional rules-based systems?   Well, amongst various things, a key point is that AI learns from a training dataset instead of explicitly being coded with rules to follow. There is a huge focus on Responsible AI (aka Ethical or Trustworthy AI) – and rightly so.  However, […]

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