Artificial Intelligence

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 […]

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 […]

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 […]

Ethical, Fair and Trustworthy AI is a hot subject for very good reason. The unintended consequences of AI for individuals, societies and organizations are huge: Individuals Organizations Society Physical Safety Financial Performance National Security Privacy & Reputation Nonfinancial Performance Economic Stability Digital Safety Legal & Compliance Political Stability Financial Health Reputational Integrity Infrastructure Integrity Equity […]

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 […]

Today more than ever enterprises are seeking immediate value from AI investments. Most enterprises have made significant AI investments yet continue to struggle with real world implementation of “why did the machine make its decision” and next best action. In order to deliver real-world AI, the fundamental and critical phases of ideation, experimentation, engineering and […]

Contemporary machine learning systems are different from traditional rules-based systems. With these traditional systems a series of rules were written that matched up with the desired operation of the system. In machine learning, the system learns how to make decisions from the data that is presented to it. Whilst this has many advantages, a very […]

AI industry analysts state that AI projects and their real-world success metric is less than 8%. This is a staggeringly low number given the billions of investment and big bets being made. Unlike other traditional software implementations, AI has always been vague and it has been accepted that machines are correct in making their decisions. […]

Chatterbox Labs' patented Explainable AI (XAI) product can explain any AI model. This is critical because it means that, rather than replacing all of your years of AI investments with a new explainable model (that may not achieve the performance that the existing system can), our XAI works hand in glove with your existing system […]