We might worry that our seamless reliance on AI systems makes us prone to adopting the strange errors that these systems commit. One proposed solution is to design AI systems so that they are not phenomenally transparent to their users. This stops cognitive extension and the automatic uptake of errors. Although we acknowledge that some aspects of AI extension are concerning, we can address these concerns without discouraging transparent employment altogether. First, we believe that the potential danger should be put (...) into perspective – many unreliable technologies are unlikely to be used transparently precisely because they are unreliable. Second, an agent who transparently employs a resource may also reflect (opaquely) on its reliability. Finally, agents can rely on a process transparently and be yanked out of their transparent use when it turns unreliable. When an agent is responsive to the reliability of their process in this way, they have epistemically integrated it, and the beliefs they form with it are formed responsibly. This prevents the agent from automatically incorporating problematic beliefs. Responsible (and transparent) use of AI resources – and consequently responsible AI extension – is hence possible. We end the paper with several design and policy recommendations that encourage epistemic integration of AI-involving belief-forming processes. (shrink)

Phenomenal transparency was once widely believed to be necessary for cognitive extension. Recently, this claim has come under attack, with a new consensus coalescing around the idea that transparency is neither necessary for internal nor extended cognitive processes. We take these recent critiques as an opportunity to refine the concept of transparency relevant for cognitive extension. In particular, we highlight that transparency concerns an agent’s employment of a resource – and that such employment is compatible with an agent consciously apprehending (...) (or attending to) a resource. This means it is possible for an object to be transparent and opaque to an agent, even at a single moment in time. Once we understand transparency in this way, the detractors’ claims lose their bite, and existing arguments for transparency’s necessity for cognitive extension return to apply with full force. (shrink)

Copyright is at the centre of both popular and academic debate. That emotions are running high is hardly surprising – copyright influences who contributes what to culture, how culture is used, and even the kind of persons we are and come to be. Consequentialist, Lockean, and personality interest accounts are generally advanced in the literature to morally justify copyright law. I argue that these approaches fail to ground extensive authorial rights in intellectual creations and that only a small subset of (...) the rights accorded by copyright law is justified. The pared-down version of copyright that I defend consists of the right to attribution, the right to have one’s non-endorsement of modifications or uses of one’s work explicitly noted, and the right to a share of the profit resulting from the commercial uses of one’s work. I also cursorily explore whether contribution to another person’s work gives rise to moral interests. (shrink)