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In the last years, AI safety gained international recognition in the light ofheterogeneous safety-critical and ethical issues that risk overshadowing thebroad beneficial impacts of AI. In this context, the implementation of AIobservatory endeavors represents one key research direction. This papermotivates the need for an inherently transdisciplinary AI observatory approachintegrating diverse retrospective and counterfactual views. We delineate aimsand limitations while providing hands-on-advice utilizing concrete practicalexamples. Distinguishing between unintentionally and intentionally triggered AIrisks with diverse socio-psycho-technological impacts, we exemplify aretrospective descriptive analysis followed by a retrospective counterfactualrisk analysis. Building on these AI observatory tools, we present near-termtransdisciplinary guidelines for AI safety. As further contribution, we discussdifferentiated and tailored long-term directions through the lens of twodisparate modern AI safety paradigms. For simplicity, we refer to these twodifferent paradigms with the terms artificial stupidity (AS) and eternalcreativity (EC) respectively. While both AS and EC acknowledge the need for ahybrid cognitive-affective approach to AI safety and overlap with regard tomany short-term considerations, they differ fundamentally in the nature ofmultiple envisaged long-term solution patterns. By compiling relevantunderlying contradistinctions, we aim to provide future-oriented incentives forconstructive dialectics in practical and theoretical AI safety research.

Transdisciplinary AI Observatory -- Retrospective Analyses and Future-Oriented Contradistinctions