Artificially generated content threatens to seriously disrupt the public sphere. Generative AI massively facilitates the production of convincing portrayals of fabricated events. We have already begun to witness the spread of synthetic misinformation, political propaganda, and non-consensual intimate deepfakes. Malicious uses of the new technologies can only be expected to proliferate over time. In the face of this threat, social media platforms must surely act. But how? While it is tempting to think they need new sui generis policies targeting synthetic (...) content, we argue that the challenge posed by generative AI should be met through the enforcement of general platform rules. We demonstrate that the threat posed to individuals and society by AI-generated content is no different in kind from that of ordinary harmful content—a threat which is already well recognised. Generative AI massively increases the problem but, ultimately, it requires the same approach. Therefore, platforms do best to double down on improving and enforcing their existing rules, regardless of whether the content they are dealing with was produced by humans or machines. (shrink)

When should you believe testimony that you receive from your social media feeds? One natural answer is suggested by non-reductionism in the epistemology of testimony. Avoid accepting social media testimony if you have an undefeated defeater for it. Otherwise, you may accept it. I argue that this is too permissive to be an adequate epistemic policy because social media have some characteristics that tend to facilitate the efficacy of misinformation on those platforms. I formulate and defend an alternative epistemic policy (...) for belief on social media, which is inspired by reductionism in the epistemology of testimony. (shrink)

This article critically examines the paradigm shift from the attention economy to the intimacy economy—a market system where personal and emotional data are exchanged for customized experiences that cater to individual emotional and psychological needs. It explores how AI transforms these personal and emotional inputs into services, thereby raising essential questions about the authenticity of digital interactions and the potential commodification of intimate experiences. The study delineates the roles of human–computer interaction and AI in deepening personal connections, significantly impacting emotional (...) dynamics, and underscores AI’s role in various applications, from healthcare to grief tech, highlighting both enhancements in emotional connections and potential disruptions to genuine human interactions. An AI-mediated framework (AMIE) is introduced to assess how AI reshapes these connections and the overall digital society through personalized interactions. This framework explores the interplay between human emotions and AI-generated responses within the new Avatar Sphere, emphasizing the necessity for regulatory measures to safeguard digital identities, recognize emotional data as intellectual property, and maintain system transparency. It highlights the critical need for maintaining genuine human interactions and advocates for context-aware consent, continuous monitoring, and cross-cultural considerations to foster ethical AI practices. Leveraging blockchain technology and decentralized autonomous organizations, the framework proposes methods to enhance individual control over emotional data, mitigating the commodification risks. The findings contribute to ongoing discussions on AI ethics, digital privacy, and the future of human-AI interactions, providing valuable insights for cultivating a responsible intimacy economy. (shrink)

This book argues that misinformation poses a multi-faceted threat to knowledge, while arguing that some forms of content moderation risk exacerbating these threats. It proposes alternative forms of content moderation that aim to address this complexity while enhancing human epistemic agency. The proliferation of fake news, false conspiracy theories, and other forms of misinformation on the internet and especially social media is widely recognized as a threat to individual knowledge and, consequently, to collective deliberation and democracy itself. This book argues (...) that misinformation presents a three-pronged threat to knowledge. While researchers often focus on the role of misinformation in causing false beliefs, this deceptive potential of misinformation exists alongside the potential to suppress trust and to distort the perception of evidence. Recognizing the multi-faceted nature of this threat is essential to the development of effective measures to mitigate the harms associated with misinformation. The book weaves together work in analytic epistemology with emerging empirical work in other disciplines to offer novel insights into the threats posed by misinformation. Additionally, it breaks new ground by systematically assessing different forms of content moderation from the perspective of epistemology. Misinformation, Content Moderation, and Epistemology will appeal to philosophers working in applied and social epistemology, as well as scholars and advanced students in disciplines such as communication studies, political science, and social psychology who are researching misinformation. (shrink)