Thanks to artificial intelligence, gambling companies have a new tool to work with. The representatives of the gambling business claim that AI is used to improve the quality of customer service. Such technology certainly increases user engagement. However, it also has a downside: there is a perception that it leads to the aggravation of addiction. The ethical dilemma here is whether the pursuit of profit is prioritized over the well-being of people prone to addiction.
For example, in horse racing, AI can analyze data such as horse performance and track conditions. It also analyzes the statistics of jockeys and trainers. As a result, it calculates the probability of victory for a particular horse, but the player makes the final decision on whether or not to bet. The result is that casual punters can get professional-level information. AI has simplified everything considerably.
AI is being used in many countries to predict the outcome of competitions, but the trend is particularly prevalent in India. The government recently had a high-profile case involving using neural networks to bet on cricket. This sport is very popular here. It is not necessary to visit a bookmaker to make a bet; you can gamble on mobile devices. You only need to download one of the best cricket betting apps in India, register, and top up your balance. Users are eager to use AI to research an upcoming cricket event and place a bet with a high chance of winning.
However, AI is not limited to analyzing matches. Companies are also using AI to customize the gaming experience for players. Personalizing the betting experience is promising for gambling companies. Users receive relevant content based on their past activity and similarities in behavior with players close to them. The prevailing sports trends are also taken into account.
But AI is also being developed to track gambling behavior problems in customers of gaming companies. It tracks key behavioral shifts such as recurring losses or chasing losses, impulsive behavior, and overall spending. That is, artificial intelligence technology can identify key traits that may indicate the presence of gambling addiction or fraudulent behavior. Its algorithms depend on data such as user account activity, betting frequency, bet amounts, and types of bets placed.