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Rice’s Theorem is a notorious stumbling block in Computer Science. We review some previous work of us that shows that we can extend Rice’s result to large segments of everyday mathematics, so that similar stumbling blocks appear in many areas of mathematics, as well as applied areas such as mathematical economics; one of its applications (Koppl’s conjecture) is discussed in some detail. Note: this paper has been written in an informal style.

This paper introduces the concept of a “computable economy” and discusses how it relates to the emergence of Web3 or the new type of economy that has arisen from the integration of digital technologies such as blockchain, smart contracts, and digital identity. A “computable economy” is one where those computational rule systems are integrated into a connected graph, allowing for decentralized cooperation and distributed coordination. This paper traces the trajectory of innovation in the economy from the development of industrial production technologies to the rise of information and communication technology (ICT) and the digital economy. It argues that the shift to a “computable economy” is a consequence of the transformation of analog economic institutions into natively digital institutions. This results in a “full stack” digital economy where all economic actions can be digitally constructed and implemented. This paper concludes by discussing the potential of Web3 to create a new type of economy, that is, “techno-utopian” and characterized by human flourishing, as the incursion of machines and computation leads to a new era of economic growth and transformation.

Implementing artificial intelligence (AI) in healthcare organizations involves the entire organization. This groundbreaking technology is becoming central to achieve the goals of the new healthcare through the ongoing commitment to sustainability despite the severe lack of resources. Decision-makers in healthcare need knowledge and skills to prepare for the changes in many professional activities in the years ahead. Furthermore, chief medical officers and clinical leaders need to act on the opportunities that AI can bring, starting from its integration into the reality of healthcare settings while working with those responsible for managing and implementing AI in compliance with current legislation in Europe and the United States. Finally, stakeholders need to know how to leverage AI capabilities and how to recognize its limitations and its opportunities in administrative applications (admin AI) to optimize day-to-day operations and clinical applications (non-admin AI). In this view, clinical leaders and health care decision-makers may appreciate AI as a new way to provide sustainable social and healthcare services.