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 paper examines the paperclip apocalypse concern for artificial general intelligence. This arises when a superintelligent AI with a simple goal (ie., producing paperclips) accumulates power so that all resources are devoted towards that goal and are unavailable for any other use. Conditions...

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....

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...