The increasing use of Generative AI raises many ethical, philosophical, and legal issues. A key issue here is uncertainties about how different degrees of Generative AI assistance in the production of text impacts assessments of the human authorship of that text. To explore this issue, we developed an experimental mixed methods survey study (N = 602) asking participants to reflect on a scenario of a human author receiving assistance to write a short novel as part of a 3 (high, medium, (...) or low degrees of assistance) X 2 (human or AI assistant) factorial design. We found that, for a human author, the degree of assistance they receive matters for our assessments of their level of authorship, creatorship, and responsibility, but not what or who rendered that assistance, although it was more important to disclose human rather than AI assistance. However, in our assessments of the assisting agent, human assistants were viewed as warranting higher rates of authorship, creatorship, and responsibility, compared to AI assistants rendering the same level of support. These results help us to better understand emerging norms around collaborative human-AI generated text, with implications for other types of collaborative content creation. (shrink)

Any adequate philosophy of technology needs to take a clear stance with regard to the limits of criticizability. While observing the canons of criticizability may appear to be simple, many philosophical approaches (whether towards technology or other topics) abandon comprehensive criticizability by adopting some forms of justificationist or essentialist epistemology. This paper aims to show that criticizability can only be upheld by subscribing to a non-justificationist epistemology and by acknowledging the propositions/standards dichotomy; failing to do so leads to undesirable epistemic (...) consequences. (shrink)