Reflecting on the thousands of diverse research studies of social media representation and digital privacy, this article presents a comprehensive summary of online personal strategies. First, the evolution of academic concepts about digital identity and the online self is summarised. Then, the article investigates the key dynamics of personal strategies and control issues in detail with ideas, experiences, stories and metaphors taken from 60 qualitative interviews from Central and Eastern Europe and Southeast Asia. According to the key findings of this article, the universal patterns of online personal strategies follow mostly conscious decisions, resulting in users maintaining 70% control of their digital footprints. However, the remaining 30% of online activities are unconscious floating with digital dynamics and resulting in a wide range of non-expected consequences from identity theft to kidnapping. In summary, an intercultural and intergenerational model highlights the complexity and diversity of the studied field, providing a reference framework for future studies. The closing section presents a discussion of those findings of this study that are inconsistent with commonplace assumptions and conclusions present in the academic literature, promoting for study those subjects that still need to be extended or explored.

This groundbreaking book demystifies generative AI’s transformative impact on media, socio-cultural dynamics, ethics, and policy. Defining generative AI as an evolutionary leap in the development of artificial intelligence, the author examines intricate human-machine interactions and socio-technical dynamics, advocating robust, proactive AI governance to address emerging uncertainties. The book is clearly structured into six key chapters, each exploring distinct aspects of the relationship between artificial intelligence, media, and society. The chapter on "Transformation" examines how machine behavior is reshaping our datafied society, questioning whether data is the new oil, or digital manure. "Generative AI" investigates the models and future impacts of generative AI as a co-intelligence, revisiting the Turing Test and analyzing societal-business impacts. "AI Media" explores the convergence of media and AI, highlighting robot journalism, synthetic content, and the disinformation era and discussing the trend toward high-risk optimism. "Uncertainties" addresses inherent unpredictability vs. strategic foresight, focusing on challenged business models, sustainability concerns, and emotional intelligence factors. "Ethics" analyzes generative morality and dual-use technology, covering trusted AI principles—from misuse to integrative solutions. Finally, "Policy" discusses governance, labor market impacts, the importance of human rights and power dynamics in generative AI. Each chapter also provides summaries of impact projects, reflective art, scholarly questions, and strategic takeaways—extended with a comprehensive glossary. This is an essential resource for scholars, students, policymakers, technologists, ethicists, and AI industry leaders seeking to rapidly understand and address the challenges and opportunities of generative AI and AI media in a cohesive framework. <!----> <!----> <!----> <!---->

The trend towards a changing media operation (Kosterich & Ziek, 2020) due to the emergence of artificial intelligence (AI) applications has been evidenced (Chan-Olmsted, 2019; Dragt, 2018) by five ...

The study explores the future of AI-driven media and info-communication as envisioned by experts from all world regions, defining relevant terminology and expectations for 2050. Participants engaged in a 4-week series of surveys, questioning their definitions and projections about AI for the field of media and communication. Their expectations predict universal access to democratically available, automated, personalized and unbiased information determined by trusted narratives, recolonization of information technology and the demystification of the media process. These experts, as technology ambassadors, advocate AI-to-AI solutions to mitigate technology-driven misuse and misinformation. The optimistic scenarios shift responsibility to future generations, relying on AI-driven solutions and finding inspiration in nature. Their present-based forecasts could be construed as being indicative of professional near-sightedness and cognitive dissonance. Visualizing our findings into a Glasses Model of AI Trust, the study contributes to key debates regarding AI policy, developmental trajectories, and academic research in media and info-communication fields.

While debate is heating up regarding the development of AI and its perceived impacts on human society, policymaking is struggling to catch up with the demand to exercise some regulatory control over its rapid advancement. This paper aims to introduce the concept of entangled AI that emerged from participatory backcasting research with an AI expert panel. The concept of entanglement has been adapted from quantum physics to effectively capture the envisioned form of artificial intelligence in which a strong interconnectedness between AI, humans, society, and nature is reflected. Entanglement assumes that AI should serve nature, social well-being, justice, and the resilience of this intertwined network simultaneously and promote a dynamic balance among these factors. This approach allows us to understand the pervasive role of this technology and the scope of human agency in its development. The study shows how such concepts seem to transcend the dominant discourses related to expectations, technological determinism, and humanism. An additional aim of this paper is to demonstrate how backcasting can contribute to generating useful understandings of the future of AI and fruitful insights for policymaking.

Purpose: The goal of the paper is to identify the comprehensive trends, practical implications and risks of artificial intelligence (AI) technology in the economy and society, exploring the expectations of Hungarian powerful actors in a global arena.Design/methodology/approach: Sociology of expectations framed the theoretical considerations. The explorative research design presents an anonymous qualitative online survey. Respondents represent the Hungarian AI Coalition with a quarter of the members.Findings: The key finding is a controversial result. Although AI is interpreted as a decision-supportive and problem-solving technology for the economy, uncertainties and fears for the society are clearly formulated. Interpreting the results and the originality of the paper, trust building and responsibility sharing in cross-industrial collaborations are fundamental to reduce social uncertainties, override the popular or science fiction narratives and increase the future well-being.Research limitations/implications: The length of textual responses did not allow a deeper analysis. However, for professional reasons, participants were committed to completing the survey.Practical implications: The paper suggests for business and policymaking to identify the AI technology as a tool distinguishing from tech-owners’ responsibilities. Therefore, the implications of the study support a reliable AI and also potential for cross-industrial collaborations.Originality/value: The paper highlights the uncertainties of business investment and policymaking to encourage a comparative research project in the EU for trustworthy AI. Similar exploratory studies with the same focus, sample and outcome are not available yet