Bias in Machine Learning – Part 2
Following on from part one of my last blog – ‘what is bias and how do we avoid it?’ – there is also societal bias and this can be a doozy! Recently there has been a big movement in art being created by AI from text. Some of it is exceptionally good and the power of these systems is frankly astonishing. For [...]
Bias in Machine Learning – Part 1
What is Bias and how do we avoid it? Part 1 Bias, in simple data science terms, can be thought of as a tendance for a model to stray from the “ground truth”. That’s a broad definition and some biases are simply irritations, but others are potentially highly illegal. All data scientists try to [...]
Tom’s Thoughts – Ethics and Machine Learning
Ethics Ethics is not a new phenomenon to the human race. Philsophers have struggled for centuries to try and form a framework where “good” and “bad” are defined ideas, fixed and abstracted from the personal opinions of the reader and the mores of the society. Most ethicists now consider those attempts at best, misguided. [...]
Adrian Flux Insurance Services new three-year deal with MLP
More than £1 million cost saving on claims at Adrian Flux key to new three-year deal with Machine Learning Programs (MLP) December 2022 – Adrian Flux Insurance Services, the UK’s largest motor insurance broker, has signed a new three-year deal with Machine Learning Programs (MLP). The partnership sees the insurance specialist continue to utilise MLP’s [...]
AI in action
AI in action: MLPrograms analyses risks for the insurance industry Developments in AI are moving fast and the potential is huge. But how exactly is AI applied in practice? Start-up MLPrograms uses modern Machine Learning methods to estimate the risks of insurance more efficiently and accurately. The assessment of risks by insurers is not new. For centuries, insurers have estimated their risks using [...]
The Art of the Possible – Tom Murphy
The art of the possible… As automation ramps up and aggregators grow, consumers are looking for quick insurance covers. Automated risk selection is required, but traditional computer programming is not up to the task. For years the insurance industry has tried to describe what a good risk looks like. We make our best attempt at it and accept that [...]