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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Small language models may be the future of enterprise generative AI…

Stuart Battersby

May 31, 2024

Generative AI, and particularly LLMs, are gaining business traction.  However, as organizations move from testing, experiments and proof of concepts to production deployments that can have material impacts on businesses, teams must consider how to do this in the right way for their business. There are generally two options to use: (Very) large language models […]

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Unifying Responsible AI for both generative AI and traditional AI

Stuart Battersby

February 29, 2024

With the explosion of interest in generative AI, particularly with large language models (LLMs) in an enterprise context, one of the most interesting things is that the AI discussion now includes businesspeople who didn’t typically talk about AI, or had never even considered an enterprise use case for AI.  Now they are. As a technologist […]

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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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Explainable AI is important – but alone it is not the solution

Stuart Battersby

September 16, 2022

Business leaders are starting to realize that, when building AI or machine learning solutions, we need more transparency in the process.  It’s no longer OK to just seek the best accuracy when building these systems. Unfortunately, many AI business processes still do primarily focus on performance – and there are many models already in production […]

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Is Governance Stifling AI?

Stuart Battersby

July 7, 2022

Artificial Intelligence (AI) is becoming prevalent across all business sectors.  Whilst the big headlines focus on use cases like self-driving cars and digital assistants such as Alexa, most of the time AI technologies are used to automate human decision making in less flashy scenarios.  Your credit card or mortgage application is likely reviewed by an […]

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Chatterbox Labs collaborate with the World Economic Forum on the Responsible Use of Technology

Stuart Battersby

December 11, 2020

Chatterbox Labs are proud to have collaborated with the World Economic Forum (WEF) team on the Responsible Use of Technology project, resulting in the WEF’s release of the Ethics by Design report. The Responsible Use of Technology initiative of the World Economic Forum brings together experts and practitioners from the private sector, government, civil society […]

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Sensitive attributes & hidden bias; assessing the fairness of your AI model needs transparent data

Stuart Battersby

October 22, 2020

Assessing the fairness of an AI model is a critical, yet challenging task that should involve business process, human judgement, and transparent data on the behaviour of the AI model. When any AI model is built using personal data, it is important (and legally required in most jurisdictions) that is does not unfairly discriminate. This […]

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Managing AI Risks. Multiple Stakeholders Need Access to the Right Data and Insights

Stuart Battersby

September 30, 2020

In a guest post on insideBIGDATA I wrote: “There is no doubt that AI is exploding across businesses, and it is not just with the moon shots that make news headlines. Due to the speed and scale at which AI can operate, it is being used across the critical operations and decision making in everyday […]

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