Artificial Intelligence and Playable Media

This study examines the relationship between artificial intelligence (AI) media narratives and digital literacy levels in Indonesia, focusing on their combined impact on information resilience and misinformation vulnerability. Through a mixed-methods approach involving content analysis of five major Indonesian media outlets (2022–2024), a survey of 384 respondents across South Sulawesi, and in-depth interviews with 15 media professionals, this research reveals significant gaps between AI media coverage and public understanding. The findings indicate that while 76% of Indonesian media coverage presents AI as a technological solution to misinformation, only 32% of the surveyed population demonstrates adequate digital literacy skills to evaluate AI-generated content critically. The study identifies three distinct patterns of AI media framing: technological optimism (47%), cautionary realism (33%), and dystopian skepticism (20%). These findings contribute to understanding how media narratives about emerging technologies influence public digital literacy and information resilience, particularly in developing digital economies where technological adoption often outpaces digital education initiatives.

The transformation of news media into intelligent media is in the ascendant, and artificial intelligence (AI) technology has brought news practitioners into the era of intelligent production, but also brought them the psychological worry of AI anxiety. The study analyses the causes of AI anxiety among news practitioners from three aspects: the dissolution of their professional concepts, the prevalence of professional substitution, and the polarisation of professional skill requirements, and proposes a path to alleviate the problem by balancing self-efficacy and psychological expectations through scientific cognition, promoting the human-machine symbiosis model in the field of journalism through multi-party collaboration, and providing special support to improve the protection of news practitioners' profession.

This study aims to analytically highlight the efforts made by Tunisian national television to integrate artificial intelligence (AI) applications into its audiovisual production management policy, within the framework of implementing and overcoming the challenges associated with a national strategy for this innovative technology. The research is based on a qualitative methodology that includes both field observations and semi-structured interviews with experts working in the documentary management unit of the national television. Additionally, it involves a documentary analysis of all reports and strategic documents that reflect the process of implementing the national AI strategy and the various modernization projects of the national television. The results, informed by the experience of the French Audiovisual Institute (INA-France) in using AI applications for processing, analyzing, and enhancing audiovisual resources, demonstrate the vital need for Tunisian national television to adopt AI techniques within a coherent national context. Furthermore, there is a necessity for a complete digital transformation to fully play its role and remain competitive in the intelligent media landscape. By examining possible collaborations between the ambitions of Tunisian national television and the proven practices of major international channels, the study highlights the importance of strategic planning and proactive actions for AI integration. It also details the benefits and potential obstacles of this integration, emphasizing the need for a collective effort to incorporate AI into Tunisian media production, thereby positioning the country at the forefront of technological innovation.

Chapter 11 - Artificial Life and the Animat Approach to Artificial Intelligence

인공지능은 필연적으로 모든 관심 영역에서 인간의 능력을 상회하는 지능을 지향하고, 그렇게 발전하고 있다. 그러기 때문에 인공지능에 대해서 단순히 성찰의 맥락에서만 담론을 전개하기엔 실제 현상적인 부분의 변화폭이 너무 크다. 본고에서는 이러한 변화양상을 통해 나타나는 인공지능 사회의 변화 양상을 소셜미디어와 게임 유저 경험의 확대인 게이미피케이션을 통해 확인할 수 있을 것이라 판단하였다. 첫 번째로 소셜미디어에서는 주체의 다양성과 의미의 변화가 두드러지는 특징으로 나타났다고 할 수 있다. 두 번째로 사이버스페이스의 확장과 일상화로 인해서 나타난 게이미피케이션의 확대가 현대 사회의 특징으로 나타남을 알 수 있었다. 이러한 변화의 양상들은 이미 현실에 구현되고 있는 모습들이다. 특히 멀티미디어의 일상화는 주체의 문제와 정체성, 그리고 다양한 의미들을 이전과는 완전히 다른 모습으로 우리의 생활과 인식의 층위들을 해체하게 될 것이다. 그리고 그러한 인식의 전회를 위해서는 먼저, 현상들의 변화 추이를 명확하게 확인하는 것이 중요하다고 할 수 있다.

Misinformation and disinformation, often in the form of fake news disseminated on social media, are proliferating in the “post-truth” era, with profound implications for public and policy discourse, political accountability and integrity, elections and governance. The United States is grappling with an information landscape eroded by deeply flawed information from a variety of sources, including Russian efforts to undermine its recent presidential election. As it struggles with these problems, the U.S. must also decide if and how to deploy political disinformation. U.S. foreign policy has made significant use of disinformation to influence politics and elections, and as emerging technologies allow new means of producing, disseminating, and amplifying disinformation, American presidents, security officials, and covert operators will weigh their use and usefulness. These technologies will also create new, largely unknown effects, the normative, practical, and governance implications of which must be scrutinized. Despite the attention now focused on disinformation, this angle has received inadequate consideration. This article argues that in rapidly shifting technological and political landscapes, disinformation programs require the highest possible degree of examination and accountability. Congress; the electorate; media; and researchers must engage in the public conversation to ensure that American democratic and ethical values inform U.S. policy.

The issue of low critical thinking skills and weak internalization of national values among Madrasah Ibtidaiyah students has become a serious challenge in Civics Education (PKN) learning. This study aims to analyze the effectiveness of the Problem-Based Learning (PBL) method assisted by Artificial Intelligence (AI) media in improving students’ critical thinking skills and national attitudes at Madrasah Ibtidaiyah in Kendari City. Employing a descriptive qualitative approach, this research involved Civics teachers and fifth-grade students as key informants. Data were collected through observation, in-depth interviews, and documentation, then analyzed using N-Vivo software. The findings indicate that the integration of AI-based media in PBL significantly enhances students' abilities in analyzing civic issues, developing creative solutions, and communicating ideas both verbally and non-verbally more effectively. Furthermore, national values such as tolerance, deliberation, and patriotism were well internalized through problem-based learning activities. This study contributes to the development of constructivist learning theories and offers an innovative instructional model for character education in madrasahs. The model is recommended for broader implementation in primary education curricula based on national values.

The role of narratives in legal contexts has been explored in multidisciplinary research for several decades. A common claim in this research is that the understanding of narratives is crucial to the understanding of any legal process, especially to most representations of the facts in a criminal case. It seems justified to say that law’s cultural foundations and presuppositions are always in some way or another manifested in its narratives and acts of narration. The research conducted within the field of law and narrative helps to expand our knowledge of the multiple ways in which legal thinking and decision-making rely on narrative, in both senses of the term. It also enhances our understanding of how narratives are put to use as rhetorical tools, both in the courtroom and in the court’s written judgments. The contributions to this volume present the field of law and narrative as it exists today and expand the area of inquest into fields like text linguistics, speech act theories, ordinary language theory, public international law, artificial intelligence and various media transformations of law stories.

The oceans, as the forthcoming financial frontier, have precipitated disputes at the nexus of resource protection and abuse, a domain where customs and social norms converge. The present research, supported by research reviews, inquiries, and personal assessments, determines the primary policy, socio-economic, ecological, and cultural motorists of conflicts stemming from the interplay of recreational fishing a significant shipping activity in Mediterranean maritime safeguarded areas and other coastal consumers. Intelligent media is a new media form with the comprehensive application of mobile Internet technology, Internet of Things technology, big data technology, and artificial intelligence technology to realize high human-machine interaction and collaboration. The functions of information production, information experience, information push, information storage, and information utilization are realized through intelligent media and intelligent platforms. The application of smart technology builds a new form of communication, making the transmission of Intangible Cultural Heritage (ICH) more efficient and accurate. It can promote ICH's more effective dissemination and higher quality utilization through intelligent media technology by establishing a larger cultural communication platform, stimulating wider cultural consumption, and transforming cultural resources. ICH Fisheries Management (ICHFM) is an effective carrier of national spirit and emotion, representing the nation's past, present, and future, and is the core of social and cultural development. The protection and inheritance of ICH are related to the continuation and development of Chinese culture, and it is an essential cultural project that is urgently needed. As one of the products of human civilization, the ICHFM is facing a complex situation of coexisting challenges and opportunities in contemporary times, which needs to respond to the significant changes in living environment and values, and at the same time, it meets with the awakening of human awareness of cultural diversity and the improvement of cultural heritage protection ability. Therefore, researchers and decision-makers should have a positive and advanced attitude towards technology innovation under the background of intangible protection and inheritance of all kinds of innovation practice, especially intangible knowledge popularization, culture, and social education transmission behavior, which should be encouraged and emerging technology, communication channels, consumption forms, explore the intangible spread in the contemporary digital potential value, focus on intangible digital transmission present "video and experience" "elements of open source and digital potential" "digital survival and virtual community inheritance" trend. The findings indicate that the persistent contradictions resulting from the conflict originate from divergent notions of history, resource adoption, and conservation.

In the highly volatile realm of global security, the necessity for leading-edge and effectual border resilience tactics has never been more imperative. This PRISMA 2020 guided systematic literature review (SLR) examines the intersection of artificial intelligence (AI), open-source intelligence (OSINT), and social media intelligence (SOCMINT) for enhancing border protection. Our systematic investigation across major databases (IEEE Xplore, Scopus, SpringerLink, MDPI, ACM) and grey literature sources yielded 3932 initial records and, after screening and eligibility assessment, 73 studies and reports from acknowledged organizations, contributing to the evidence synthesis. Three research questions (RQ1–RQ3) were addressed concerning the following: (a) the effectiveness and application of AI in OSINT/SOCMINT for border protection, its (b) data, technical, and operational limitations, and its (c) ethical, legal, and societal implications (GELSI). Evidence matrices summarize the findings, while narrative syntheses underline and thematically group the extracted insights. Results indicate that AI techniques—fluctuating from machine learning (ML) and natural language processing (NLP) to computer vision and emerging large language models (LLMs)—produce quantifiable improvements in forecasting irregular migration, detecting human trafficking, and supporting multimodal intelligence fusion. However, limitations include misinformation, data bias, adversarial vulnerabilities, governance deficits, and sandbox-to-production gaps. Ethical and societal concerns highlight risks of surveillance overreach, discrimination, and insufficient oversight, among others. To our knowledge, this is the first SLR at this intersection. We conclude that, AI-assisted OSINT/SOCMINT presents transformative potential for border protection requiring, nonetheless, balanced governance, robust validation, and future research on LLM/agentic AI, human–AI teaming, and oversight mechanisms.

Artificial intelligence is the simulation of human intelligence processes by machines. It is one of the emerging trends and applications of computing in libraries. AI is simply a component of the technology, such as machine learning. AI requires a foundation of specialized hardware and software for writing and training machine learning algorithms. The purpose of Artificial Intelligence based system is to replace or complement services in different sector like education, manufacturing, Agriculture, communication etc. The ultimate promise of artificial intelligence in libraries is to develop computer systems or machines that think, behave, and in fact rival human intelligence, and this clearly has major implications on librarianship. The application of artificial intelligence in the library has become pervasive. They include expert systems for reference services, book reading and shelf-reading robots, virtual reality for immersive learning among others. This paper will discuss about the media library and its digital storage thorough different software and advance computer technology. The paper will also discuss about the positive and negative aspect of artificial intelligence specialized media library and future scope of the media data storage.

Social science education (ips) in elementary school can be improved by capitalizing on artificial intelligence (ai). This article explfies various applications and ai benefits in the context of ips study for elementary school students. Ai can improve the effectiveness of learning through personalizing, interactivity, data analysis, and relevant and educational development of content. It also discusses the challenges and opportunities of adopting ai technology in the ips education curriculum in elementary school. This article is based on a literature study examining applications of artificial intelligence in ips education and data obtained from relevant sources to support analysis on ai's role in improving ips' effectiveness. Successful implementation thus requires careful integration in the curriculum of education and the development of human resources capable of utilizing this technology to the fullest

This study aims to explore the impact of personalized news recommendation systems based on big data and artificial intelligence algorithms on audience cognition and behavior. With the rapid development of information technology, news recommendation systems have been widely used in the media industry, but their impact on audiences has not been fully studied. This paper adopts a mixed research method, combining questionnaire surveys, in-depth interviews and experimental research, and conducts a three-month follow-up survey on 500 news app users. The results show that the personalized recommendation system significantly increases users' news reading volume and retention time, but also leads to the intensification of information cocoon effect and cognitive bias. In addition, the study finds that the transparency of the recommendation algorithm, the user's media literacy level and the diversity of news sources are key factors affecting audience cognition and behavior. Based on the research findings, this paper proposes suggestions for optimizing the news recommendation system, improving users' media literacy and promoting information diversification, in order to minimize the negative impact of personalized recommendations while improving user experience. This study has important theoretical and practical significance for understanding the characteristics of audience behavior in the intelligent media environment, improving the design of news recommendation systems and formulating relevant policies.

The subject of this study is the era of smart media, which will have a significant impact on the news media ecosystem. It will lead to another industrial transformation and change in the news industry. The convergence of traditional and new media is made possible by 5G technology, cloud computing and big data technologies. The COVID-19 pandemic has accelerated the pace of media analytics, digitisation and platformisation. In addition, recent years have seen a surge in the development of artificial intelligence, which has been applied to various fields such as military, healthcare, retirement, etc. The development of ChatGPT has been an important signal of intelligent change in the media industry. The news media industry is undergoing a transformation that is already well underway. The research methodology is comprehensive and includes: descriptive method, comparative data analysis, statistical analysis and content analysis. The novelty of the research is the analysis of intellectual media paradigms in China and Russia. The nature of media interaction between the two countries, as well as the trajectory of global innovative technologies are investigated. Trends related to the development of digitalisation and AI in the following areas are described in detail: digitalisation of operations, news production, development of media platforms and AI technologies, and media content digitalisation processes. A prospective analysis is made of the need for international specialists with both humanitarian and technical competences. The digital and intellectual transformation of news media can take the cooperation between the two countries to a new historical level. In addition, media cooperation between China and Russia can help stabilise the world situation and provide a favourable ecological environment for international media.