Blog

  • All Inclusive AI Governance

    • Danny Coleman
    • November 24, 2020

    Enterprise AI is grappling with moving siloed data science projects to a centralised system of human centric processes and frameworks. Artificial Intelligence (AI) should be termed “All Inclusive” as without a Multi-Stakeholder Management approach with leadership buy in, AI stays siloed, sat within labs or quite simply fails, hence an industry wide success rate of […]

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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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  • Chatterbox Labs awarded Gartner Cool Vendor 2020 Enterprise AI Governance

    • Marketing
    • October 6, 2020

    Chatterbox Labs has been awarded Gartner Cool Vendor status for Enterprise AI Governance. Gartner states that: Chatterbox Labs is cool at three levels: Interpretable AI. Interpretability is the company’s original competency. Having filed several patents for methods that can be used on models regardless of where they were developed, Chatterbox Labs provides a platform to […]

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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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  • Trustworthy AI & Validation of Enterprise AI Model Insights (AIMI)

    • Danny Coleman
    • September 2, 2020

    Trustworthy AI is the number priority for business leaders for very good reason. Despite all the advances made with AI in academic breakthroughs, experimentation, methods, model build, accuracy, precision, recall and feature importance enterprises are still seeking greater insights into their AI models whether still in development or live in a production environment. Recalling AI […]

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  • Assessing the Fairness of an AI model

    • Stuart Battersby
    • July 9, 2020

    AI models can achieve very high accuracy (this is particularly true with contemporary deep learning methods) and can churn through data at a much higher rate than is possible with humans. This has led to their deployment in decision making systems across various industries. In general, these systems are trained (that is, taught how to […]

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  • Explainable AI & the boardroom conversation

    • Danny Coleman
    • June 19, 2020

    AI is a somewhat underspecified term and can mean many things to different audiences. However, in business, boardroom execs today are still seeking answers to what AI will truly deliver to their business. Many have spent millions of dollars, yet few have seen significant real-world impact and ROI. One exec recently remarked “In the current […]

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  • AI regulation is coming: Are you ready?

    • Stuart Battersby
    • May 22, 2020

    Are you ready? Governments and regulators now have well established regulations in place for managing data including the security and privacy implications associated with these.  However, as AI is now being regularly deployed within organisations, countries around the world are looking at how it should be regulated.  Some regulation builds upon (or is inherent within) […]

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  • Explainable AI Methods (XAI) & Why it takes years to create novel XAI IP fit for purpose

    • Henrique Nunes
    • May 15, 2020

    XAI today is the holy grail of AI and rightly so, the opportunity of unlocking the black box and providing explanations, insights and next best actions will have an impact across every industry. This is just the beginning… BTW – Artificial General Intelligence known as AGI is still in the dream phase and a long […]

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  • Implementing Explainable AI (XAI) & Proof of Value in 4 hours via Zoom

    • Danny Coleman
    • May 11, 2020

    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 […]

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