Is the CCM Market Model a form of artificial intelligence (AI)?
Merriam-Webster defines artificial intelligence as the capability of a machine to imitate intelligent human behavior. Using that simple and broad definition of AI, and given our model automates the evaluation of data points as a human being would, the answer is yes.
However, it is more accurate to describe the CCM Market Model as an efficient investing tool that automates the classification of large amounts of market data. Decisions on how a piece of data is interpreted were made by a human, based on extensive backtesting, and programmed into an efficient algorithm.
The excerpts below are from Justifying Human Involvement in the AI Decision-Making Loop, MIT Sloan Management Review:
A human can add value by scrutinizing a system’s results before action. But long before that, people also had a foundational role in developing the algorithms underlying the classification system and selecting the data used to train and evaluate the efficacy of the resulting system.
While far from perfect, there have been huge improvements in AI. Building off vast training data, prediction is much more accurate in many scenarios.
If there are insufficient observations, humans can likely build off our breadth of experience to infer lessons from other cases in ways that machines cannot.
Business decisions often differ considerably from other AI applications like robots and self-guiding machines. While the pace of business may be ever-accelerating, many business decisions still have time for a second opinion where human general knowledge of context can add value.
For now, at least, human involvement is still needed in developing AI decision-making capabilities.
ARTIFICIAL INTELLIGENCE AND BETTER DECISION MAKING
During a crisis or period of high volatility, financial markets force investors to consider a nearly infinite number of inputs in a short window of time, creating an environment that is ripe for emotionally-charged and/or fatigue-related decisions. From Why AI Drives Better Business Decision-Making - Philip Cooper - Salesforce.com:
There’s a growing body of evidence to suggest that AI has a powerful role to play in making real-world decisions. It’s unsurprising to learn that many of the most innovative organizations in the world — such as Facebook, Google, and Amazon — rely on AI algorithms as part of their decision-making process. The benefits of giving AI a role to play in business decision-making are many:
Faster Decision-Making: In a world where the pace of business has accelerated and shows no sign of slowing down, the ability to speed up the decision-making process is crucial.
Better Handling of Multiple Inputs: Machines are far better than humans at handling many different factors at once when making complex decisions, can process much more data at once, and use probability to suggest or implement the best possible decision.
Less Decision Fatigue: Numerous psychology studies show that as individuals are forced to make multiple decisions over a short period, the quality of those decisions deteriorates over time. It’s why supermarkets place candy and snacks at cash registers. Exhausted by all the decisions made during a shopping trip, shoppers find it much harder to resist the lure of a sugar rush at the point of sale. Algorithms have no such weaknesses, and can help executives avoid making poor decisions borne of exhaustion.
AI can process information at a scale and scope beyond human capacity, and it is thus a considerable boon to companies looking to improve the speed and accuracy of their decisions. But humans must always be involved in that decision-making process, defining the questions to be asked, and having a final say on the best answer for their business. While machines are superior at handling large volumes of data at speed, humans are still stronger at analyzing a decision in the context of the real world.