ARTIFICIAL INTELLIGENCE
a popular media claim that a nation’s chocolate consumption in linked to the number of Nobel prize winners it produces. A New England Journal of Medicine article showed a correlation between chocolate consumption and Nobel prize. This was presented as showing that eating chocolate caused improved cognitive function sufficient to increase a country’s ability to winning the Nobel prize. The more prosaic reality is that availability of chocolate is much greater in those first-world societies with education and research capabilities likely to produce world-class scientific research. Linking correlation to causation is a risk when identifying the key features of an AI model. Lean in Artificial Intelligence is a fast growing and changing field with many threats and opportunities
and we should not be afraid to lean in and embrace it. With the significant increase in the amount of data in gaming operations, AI will become a source of competitive advantage for those who can gain insights and drive decisions from both a commercial and compliance perspective. AI systems can be either opaque or transparent, but regardless of their nature, they will significantly impact all businesses and industries. Evaluating and scoring an AI model using robust information theory and data science will reduce risk and increase stakeholder acceptance. A high degree of confidence and trust are required for deployment especially when AI replaces or augments current human interventions. It is therefore essential to develop and deploy AI within a well-considered governance framework. This approach allows for AI to be comprehensible, measurable, testable, and most importantly trustworthy.
IAN HUGHES Chief Commercial Officer for GLI® & CEO of GLI in Australia, Japan, and Macau For information contact +1 732 678 7638 i.hughes@gaminglabs.com
Made with FlippingBook flipbook maker