Social Shifts
Social Media and Social Movements
Paper Presentation in a Themed Session Lee Artz
Social media understood broadly as on-line communication sharing user-generated content has been interpreted as responsible for the rise and reach of diverse social movements, from the Arab Spring (2010-2012) and the Umbrella Movement in Hong Kong (2014) to contemporary white supremacists and also the mass resistance to racist police violence in the US (2014-2020). However, despite the hopeful assertions of social media power, the actual impact of social media has been more difficult to verify. The promise of increased democracy has been limited by corporate and government control over public access to social media, while recent criticisms of social media generating “fake news” and disinformation have rubbed some of the gloss off the promise of technological solutions to political problems. This contribution briefly unpacks the impact of corporate control before turning to an assessment of social media use by the nascent social movement coalesced around the hashtag #BlackLivesMatter.
Ethics of Hybrid Intelligence: Navigating the Convergence of Human and Artificial Decision-Making in IoT-Enabled Digital Societies
Paper Presentation in a Themed Session Haris Alibašić
This paper examines the ethical implications of hybrid intelligence systems within increasingly connected digital societies. As Internet of Things (IoT) devices proliferate and AI systems become more sophisticated, complex human-AI collaborative decision-making environments emerge.The research investigates the ethical frameworks that govern these hybrid intelligence systems, mainly focusing on autonomy, accountability, and integrity in big data-driven societies.Research Questions: How do hybrid intelligence systems challenge traditional notions of moral agency and responsibility in digital societies? What ethical frameworks are most appropriate for governing human-AI collaborative decision-making in IoT-enabled environments? How can we ensure equitable access and fair representation in hybrid intelligence systems while protecting individual privacy and autonomy? This research builds upon three primary theoretical foundations: Distributed moral responsibility in socio-technical systems, Human-in-the-loop artificial intelligence ethics, and Integrity in algorithmic decision-making.The paper synthesizes these perspectives to develop a novel framework for understanding the ethical implications of hybrid intelligence in digital societies.The research employs a Qualitative analysis of existing hybrid intelligence implementations in smart cities and case studies of ethical challenges in IoT-enabled decision-making systems. This research aims to develop a comprehensive ethical framework for hybrid intelligence governance, identify key challenges and opportunities in implementing ethical guidelines for human-AI collaboration, propose practical recommendations for policymakers and system designers, and advance theoretical understanding of moral agency in hybrid intelligence contexts.The research addresses the conference's focus on AI, ethics, and order in global society by examining the intersection of human and artificial intelligence in digital environments, shaping social order and ethical frameworks in contemporary society.
