What AI-Driven decision making looks like
Source: Harvard Business Review
In this HBR contribution, Eric Colson highlights the distinction between "data-driven" and "AI-driven".
The author points out that despite the information gained through AI (with varying degrees of relevance in the results), humans have difficulties (cognitive biases) in processing the results.
Although he advocates the increasing use of AI in the decision-making process, he warns against the risk of misuse of biased data and the absence of humans in the loop to ensure that company values and market dynamics are taken into account.