The power of Decision Intelligence

Limits and challenges

Like any valuable AI tool, DI comes with limitations and challenges. Data quality and accessibility are of paramount importance, as DI relies heavily on high-quality and relevant data. Incorrect, incomplete, or outdated data might lead to inaccurate recommendations. Moreover, AI systems reach their limits in extremely complex decision-making scenarios. In such cases, human qualities such as intuition, contextual understanding and emotional intelligence are indispensable.

Furthermore, the clarity and transparency of AI models may pose major challenges. Models that are often referred to as ‘black boxes’, whose inner workings remain non-transparent, may undermine the confidence of users and in the decision.

Another major concern is the ethical aspects of AI systems integrated into DI. Ensuring ethical decision-making that is not only based on factual data but also guided by responsible ethical judgement is one of the limitations of DI. For this reason, the ability to make ethical judgements is often entrusted to human ethical consciousness and intuition.