Artificial Intelligence (AI) is no longer science fiction. In recent years, its growing popularity has led every sector to adopt it one form or another. AI touches everything from our workplaces and classrooms to our daily lives. And as our needs increase, more innovations arise to address them.
One of the most promising innovations to come from the AI boom has been AI decisioning, which automates and optimises decision-making for anyone using it. However, it is important to consider the broader implications and potential consequences of over-relying on algorithms.
What Is AI Decisioning?
The term specifically refers to the use of advanced machine learning to make intelligent, data-driven decisions. These types of systems continuously test, learn and optimise their actions, operating on a continuous experimentation loop.
These intelligent analytics can enhance human decision-making, which could lead to better outcomes and operational efficiency across the board. Perhaps the best-known example is the use of AI in e-commerce, where it’s become everyone’s new personal shopper. It can recommend products, personalise experiences and drive sales. Have you ever wondered how Amazon seems to know exactly what you need? That’s its AI analysing your browsing history, deciding what you may like and tailoring your shopping experience. AI investment portfolio managers run on the same logic, too. Or take Google’s ad platform, Google Ads. It uses this type of model to find the most relevant ads for any given user and inform businesses how best to maximise their ROI.
The Benefits and Potential Drawbacks of AI Decisions
AI’s ability to automate a wide range of routine tasks is one of its greatest assets. Its lack of human contractions, such as limited working memory, attention span or decision fatigue, make it a powerhouse from corporate to home life, too. Both immediately benefit us by freeing up our own minds to focus on more important things.
Despite these many benefits, many have found AI isn’t the perfect solution. Artificial intelligence systems can sort through mountains of data, but they are not always accurate. The systems also don’t have the ability to tell if they have come to the wrong conclusion.
This leads to ethical considerations as well. AI often makes the decisions, so when it is wrong, who takes the blame for the outcome? Add to this privacy laws and ethical considerations surrounding collecting and storing user data—privacy, consent, security are all potential sources of trouble. In many cases, these uses of AI are so new they fall into a legal grey zone.
AI and Digital Gambling
From the second you log onto an online gambling platform, AI can tailor your experience by tracking gameplay habits, preferred providers and typical spending. This helps it suggest more games, bonuses and tournaments that match your interests, which only improve the more you play. AI can also improve the accuracy of its recommendations and highlight options with lower risk. It sifts through real-time data to suggest possible winning wagers or games with better stakes.
On the other hand, it can notice worrying patterns and prompt an alert to ensure you bet more responsibly and even detect potential fraud. The algorithm analyses betting transactions, flagging any behaviour it sees as suspicious. For many users, this feature provides an extra layer of security and peace of mind. After all, if the program is trained to detect fraud, or even fraudulent casinos, then those that it recommends must be vetted already.
Unfortunately, this is not always the case, which has kept users from adopting AI wholeheartedly. Manual tools, which require constant user input, have the benefit of human cognition, which includes the ability to recognise a potentially incorrect conclusion and reevaluate. A live representative can better understand the nuances of certain situations and advise based on information given, rather than a pre-approved script. In addition, poorly implemented AI tools have also led to pushback against replacing customer service representatives with an algorithm.
For example, an algorithm may be able to sort through a NZ online casinos list to find which ones accept PayPal. However, much like Google’s search algorithm, this can get tricky. Less reputable casinos can game the system by including keywords to rig the algorithm in their favour. Other online gambling sites may be included simply because they have a policy outlining why they do not accept PayPal. Therefore, it is always best to review the results the algorithm spits at you before making a decision, simply because there is too much information the AI might misunderstand. That way, you can be sure (or at least surer) you’re making the right decision.
AI as a Tool, Not a Solution
Whether you love it or hate it, AI is transforming our daily lives, and signs don’t point to it slowing down any time soon. As tempting as it might seem to completely ignore AI decision-making in areas like iGaming, positive reviews point to better outcomes for both you and your wallet. While you can free up some of your time to better enjoy your life, this does not mean you should completely embrace it without making careful considerations.
The most effective use of this new AI technology isn’t replacing human judgment—it’s enhancing it. By working with AI, people can make better decisions and unlock new levels of efficiency and accuracy. Though it may be tempting to allow AI to handle all your decisions, most models are not at a level yet where that is achievable. A balanced approach benefits both ourselves and the AI tools that learn from us.