Innovation in artificial intelligence is breakong new grounds in gaming
This new era of technology focusing on artificial intelligence (AI) and machine learning technology is already starting to redesign the way many industries work, favoring the gaming and gambling industry greatly. Even though AI has gotten to the point that it can beat humans in certain games and can go through an enormous amount of data within seconds, there is one aspect that seems to limit AI and renders it unfair. A new algorithm is being created to improve AI, which is often biased in terms such as race, gender, age, religion and country of origin.
“AI techniques for data processing, known as clustering algorithms, are often criticized as being biased in terms of ‘sensitive attributes’ such as race, gender, age, religion and country of origin. It is important that AI techniques are fair while aiding shortlisting decisions, to ensure that they are not discriminatory on such attributes,” said Dr. Padmanabhan from the School of Electronics, Electrical Engineering and Computer Science and the Institute of Electronics, Communications and Information Technology at Queens University Belfast.
Dr. Padmanabhan explained a bit more about this fair clustering algorithm, called FairKM. “FairKM can be applied across a number of data scenarios where AI is being used to aid decision makings, such as pro-active policing for crime prevention and detection of suspicious activities. This, we believe, marks a significant step forward towards building fair machine learning algorithms that can deal with the demands of our modern democratic society,” he stated.
Removing these biases for physical attributes will improve the data that is being analyzed allowing machines to focus on real statistical numbers about actual games’ popularity and needs to better serve the gamblers. Another aspect is that a better reading of the data can certainly improve the way systems recognize certain patterns for possible gambling issues for even fraud increasing the operational efficiency of the business and minimizing security risks.