Smartphone apps might offer a low-threshold approach to the detection of mental health conditions, such as depression. Based on the gathering of ‘passive data,’ some apps generate a user’s ‘digital phenotype,’ compare it to those of users with clinically confirmed depression and issue a warning if a depressive episode is likely. These apps can, thus, serve as epistemic tools for affected users. From an ethical perspective, it is crucial to consider epistemic injustice to promote socially responsible innovations within digital mental (...) healthcare. In cases of epistemic injustice, people are wronged specifically as epistemic agents, i.e., agents of the production and distribution of knowledge. We suggest that epistemic agency relies on different resource- and uptake-related preconditions which can be impacted by the functionality of passive self-tracking apps. We consider how this can lead to different forms of epistemic injustice (testimonial, hermeneutical, and contributory injustice) and analyze the influence of the apps’ use on epistemic practices on an individual level, in mental healthcare settings, and on the structural level. (shrink)

This paper introduces the concept of AI-inclusive epistemology, suggesting that artificial intelligence (AI) may develop its own epistemological perspectives, function as an epistemic agent, and assume the role of a quasi-member of society. We explore the unique capabilities of advanced AI systems and their potential to provide distinct insights within knowledge systems traditionally dominated by human cognition. Additionally, the paper proposes a framework for a sustainable symbiotic society where AI and human intelligences collaborate to enhance the breadth and depth of (...) epistemological pursuits. Through this exploration, we aim to redefine conventional knowledge paradigms by integrating the AI perspective, thereby fostering a more comprehensive and dynamic epistemological landscape. (shrink)

One of the biggest contemporary challenges in education is the appropriate application of advanced digital solutions. If properly implemented, AI could benefit students, opening the door for personalized study programs. However, we need to ensure that AI in classrooms is used responsibly and that it does not pose a threat to students in any way. More specifically, we need to preserve the moral and epistemic values we wish to pass on to future generations and ensure the inclusion of underprivileged students. (...) Moreover, there is a huge problem of different accessibility to technology and representation in the educational material between the Global South and the Global North. This can cause both global epistemic and moral injustice. On the other hand, AI has the potential to increase global justice in education. Therefore, it is of the utmost importance to use it in accordance with the values of equity, fairness, and inclusion that secure global justice for underprivileged groups. (shrink)