Presented by: Anaïs Sieber
Abstract: In many philosophical theories, time plays a limiting role. When faced with high complexity, human cognition often resorts to intuition, phronesis (practical wisdom) and methodological pluralism. Meaning arises from the necessary decisions made due to time constraints. Intelligence is also defined as the ability to solve problems efficiently. In contrast, computational paradigms treat time as a resource to be minimised and define solvability according to whether a problem can be solved within a limited time. Affective computing challenges this by introducing intuition and situatedness into computational processes. As artificial intelligence solves problems more efficiently than humans, the need for meaning and ethical orientation within intelligence becomes even more relevant.