Trustworthy AI? What AI Reveals About Human Trust Mechanisms and How It Redefines It
The question of trust in artificial intelligence is too often framed as a narrow inquiry into whether a given tool is reliable. If it is framed at all. We argue that this narrative needs to be extended.
In contemporary AI environments, trust is no longer directed only toward a discrete system or output, but toward a layered assemblage of infrastructures, institutions, incentives, and cultural assumptions that remain largely opaque to users. The problem of trust in AI is therefore not merely technical, but at once organizational, political, epistemic, and anthropological.
This paper proposes that AI is transforming trust from a relational outcome into an infrastructural precondition. The distinction matters because, while interfaces become smoother and more socially persuasive, technological systems on the other side, are evolving faster than human comprehension. Hence, the societal, and respectively organizational, systems built around it and with it fail to cope with the pace. We suggest that the central task is not simply to make AI more explainable, but to design institutions, interactions, and its applying arrangements in which trust becomes deserved, contestable, and collectively intelligible.
Art is the Antidote: On the Collision and Possible Symbiosis Between Arts and AI
Abstract
Public discourse sometimes frames AI as an existential threat to arts: a force that industrializes creativity, normalizes “good enough”, and retrains human taste toward lower expectations. Yet artists are not passive recipients of this technological shift. This paper argues that the relationship between AI and the arts is not a single story of replacement, nor a simple celebration of new tools. It is a contested space that gives rise to a countervailing thesis: artists are actively appropriating AI as a new aesthetic, new material, and new language, and, in doing so, can shape not only artistic practice but also the societal narratives that will govern AI’s place in human life.
We argue that art performs a fundamentally political function in the AI age: to reveal hidden questions inside given answers, to disrupt complacent narratives, and to cultivate the empathy and critical consciousness required to govern increasingly powerful systems. The central problem is not whether AI will enter culture, this is already underway, but under what conditions arts and AI become partners in creation rather than competitors, and how artistic integrity can persist amid acceleration, market incentives, and emerging claims of synthetic agency.
Anticipating the Post-Execution Economy: Artificial Intelligence, Foresight, and the Future of Competitive Systems
Abstract
AI is upending traditional competitive advantages grounded in execution excellence and scale, which will reshape economic systems. This paper explores how AI compresses the execution gap, transforming the industrial logic of economies of scale into economies of microscale. It then examines foresight and anticipation as emergent strategic imperatives for organisations navigating this accelerated environment. Drawing on foresight studies and innovation theory , the paper argues that AI is ushering in a post-execution economy, where advantage derives from anticipatory capacity, networked collaboration, and contextual intelligence rather than scale or efficiency.