This paper robustly concludes that it cannot. A model is constructed under idealised conditions that presume the risks associated with artificial general intelligence (AGI) are real, that safe AGI products are possible, and that there exist socially-minded funders who are interested in funding...

This is a paper in the ``economists ruin everything'' field. It considers whether Catch-22 situations can persist as an equilibrium phenomenon. Rather than being an arbitrary rule or a set of self-serving beliefs, the focus is on the preferences of Gatekeepers who choose to create such...

This paper examines the relationship between Knightian uncertainty and Bayesian approaches to entrepreneurship. Using Bewley's formal model of uncertainty and incomplete preferences, it demonstrates that key predictions from Bayesian entrepreneurship remain robust when accounting for Knightian...

This paper examines how the introduction of artificial intelligence (AI), particularly generative and large language models capable of interpolating precisely between known data points, reshapes scientists' incentives for pursuing novel versus incremental research. Extending the theoretical...

This paper surveys the relevant existing literature that can help researchers and policy makers understand the drivers of competition in markets that constitute the provision of artificial intelligence products. The focus is on three broad markets: training data, input data, and AI predictions....

Mobile app commissions paid by app developers to a monopolist device maker/app store operator are examined. Three results are demonstrated. First, unregulated app commissions are set at a level that maximises consumer surplus. Second, eliminating app commissions will lead to higher device...

This paper investigates the alignment of existing securities regulations with the emerging landscape of crypto-tokens and blockchain technology. By examining the features of these digital assets, including decentralization, consensus mechanisms, and programmability, we analyze how they interact...

When AI prediction substantially resolves trial uncertainty, a party purchasing AI prediction will disclose it if it is in their favour and not otherwise, signalling the outcome to the other party. Thus, the trial outcome becomes common knowledge. However, this implies that the parties will...

This paper examines and finds that the answer is likely to be no. The environment examined starts with users who contribute based on their motives to create a public good. Their own actions determine the quality of that public good but also embed a free-rider problem. When AI is trained on that...

This paper examines the impact of Generative AI (GAI) on communication through the lens of salience and signalling models. It explores how GAI affects both senders' ability to create salient messages and receivers' costs of absorbing them. The analysis reveals that while GAI can increase...