ARTIFICIAL INTELEGENCE (AI) DAN POLITIK: ANALISIS TERHADAP PERAN DAN SIGNIFIKANSI AI DALAM KOMUNIKASI POLITIK 2024 DI INDONESIA

Generative artificial intelligence has rapidly emerged as a transformative technology capable of producing highly realistic text, images, audio, and video content. Advanced generative models such as large language models and diffusion-based image generators are increasingly integrated into digital platforms including social media, news generation systems, and automated communication tools. While these technologies offer opportunities for innovation, creativity, and information accessibility, they also raise significant concerns regarding their influence on public opinion and democratic processes. In contemporary digital societies, public discourse and political participation are heavily shaped by online information environments. Generative artificial intelligence systems can produce persuasive political narratives, automated commentary, and synthetic media that may influence citizens’ perceptions of political issues, candidates, and public policies. The growing ability of generative artificial intelligence to produce large volumes of realistic content introduces potential risks related to misinformation, manipulation of public discourse, and erosion of trust in democratic institutions. Automated generation of political messages, deepfake videos, and targeted information campaigns may alter the dynamics of political communication and electoral processes. Consequently, understanding the impact of generative artificial intelligence on democratic governance has become an important area of interdisciplinary research. This study analyzes the role of generative artificial intelligence in shaping public opinion and democratic processes. The research develops a conceptual model that examines the relationships between generative artificial intelligence content exposure, perceived information credibility, misinformation risk, and democratic engagement. Data were collected from digital media users, political communication experts, and information technology professionals. Structural Equation Modeling using Smart Partial Least Squares was applied to analyze the relationships between constructs. The results indicate that exposure to generative artificial intelligence generated content significantly influences perceptions of information credibility and increases the risk of misinformation within digital communication environments. However, media literacy and regulatory governance mechanisms play important roles in mitigating the negative effects of automated content generation. The study contributes to research on digital democracy and artificial intelligence governance by providing empirical insights into how generative artificial intelligence technologies shape political communication and democratic participation in the digital age

Digital systems and networks (internet), which have increasingly developed recently, have triggered various technological innovations. One of the innovations that has received great attention from citizens of the world - indications are that there are various technological discoveries through applications on cellphones - is the presence of Artificial Intelligence (AI) technology. In formats in the media realm - whether films, videos, photos, music or text - AI technology has been presented and used with its sophistication. Although the use of AI actually becomes a simulacrum in text messages - borrowing the concept of simulacrum from Jean Baudrillard - in a number of cinema films and social media. Specifically on social media, AI technology is being used by a number of political parties and success teams or spin doctors from each pair of presidential and vicepresidential candidates in 2024 in delivering their political campaigns. The content of political campaign messages published on social media regarding the election of presidential and vicepresidential candidates (presidential and vice presidential candidates) - including Facebook, YouTube, effective in the context of delivering communication messages. The range of communication or political campaign messages that are appropriate and effective - via cell phones or mobile phones and laptops - is able to reach and shape personal perceptions through cognitive, affective and conative structures or behavior towards potential voters. Although, this research only examines political campaigns using the concept of simulacrum theory and political communication (campaigns) on short videos tens of seconds long that utilize AI technology and are distributed on social media regarding the election of presidential and vice presidential candidates, especially TikTok - considering this social media has penetration and is the highest usage choice – regarding the election of presidential and vice presidential candidates for the period 2024 – 2029.

Masters or Slaves? AI and the Future of Humanity

Art education has undergone significant transformation in the era of digitalization. With the advancement of Artificial Intelligence (AI) technology, there is tremendous potential to enhance the art learning experience. This research aims to elucidate how AI technology can be effectively utilized to improve art education in the context of digitalization. The study aims to introduce AI technology and explore its potential applications in enhancing the art learning experience. In the context of art learning experience, AI technology can provide broader access to digital art collections, online galleries, and virtual museums. Students can explore various artworks and cultures through digital platforms, thereby enriching their understanding and appreciation of art. The research findings reveal that AI technology can offer personalized guidance to students in developing their artistic skills. Intelligent AI systems can analyze students' artworks, provide tailored suggestions, and assist in enhancing their technical and creative abilities. In conclusion, the integration of AI technology in art education holds immense potential to elevate students' learning experiences. By expanding access, providing personalized guidance, and creating interactive experiences, AI technology enriches art learning in the era of digitalization. This is expected to provide greater insights and understanding of how AI technology can be harnessed to enhance the art learning experience in the context of digitalization. By optimizing the potential of AI, art education can become more inclusive, personalized, and engaging.

Abstrak Penelitian ini berfokus pada etika penggunaan Artificial Intelligence (AI) dalam kampanye politik, dengan studi kasus penggunaan profil mantan presiden Indonesia, Soeharto. Penelitian ini bertujuan menjelaskan dampak penggunaan AI dalam konteks politik, termasuk masalah hak cipta dan pengaruhnya terhadap opini publik serta mempertimbangkan perspektif etis dalam menggunakan sosok kontroversial dalam kampanye politik menggunakan AI. Metode yang digunakan dalam penelitian ini adalah metode kualitatif dengan pendekatan etnografi digital terhadap data yang relevan, termasuk literatur tentang etika penggunaan AI dan studi kasus kampanye politik penggunaan video AI Soeharto. Hasil penelitian ini diharapkan dapat memberikan pemahaman yang lebih baik tentang implikasi etis penggunaan AI dalam konteks politik. Selain itu, juga untuk memberikan rekomendasi serta pedoman bagi penyelenggara kampanye politik, pengembang AI, serta pihak terkait lainnya dalam menggunakan AI secara etis dalam proses politik. Penelitian ini juga diharapkan dapat meningkatkan kesadaran tentang pentingnya etika dalam mengembangkan dan menerapkan teknologi AI dalam berbagai konteks sosial. Kata kunci: Artificial Intelligence, Etika, Video, Presiden Soeharto Abstract This research focuses on the ethics of using Artificial Intelligence (AI) in political campaigns, with a case study of the use of an AI version of Soeharto, the former president of Indonesia. This research aims to explain the impact of using AI in a political context, including copyright issues and its influence on public opinion, as well as consider the ethical perspective of using a controversial figure such as Soeharto in a political campaign using AI. The method used in this research is a digital ethnography qualitative method of relevant data, including literature on the ethical use of AI and a case study of a political campaign using Soeharto's AI video. The results of this research are expected to provide a better understanding of the ethical implications of using AI in a political context and provide recommendations and guidelines for political campaign organisers, AI developers, and other related parties in using AI ethically in the political process. In addition, this research is also expected to raise awareness for the importance of ethics in developing and applying AI technology in various social contexts. Keywords: Artificial Intelligence, Ethics, Video, President Soeharto

In the digital era, the field of education is witnessing the transformation that occurs through the integration of artificial intelligence (AI). With artificial intelligence's (AI) potential to revolutionize various sectors, it presents itself as a material or tool that can enhance the teaching and learning experience. Its features align with our thinking, enabling us to progress according to our desired content. Artificial intelligence (AI) is today's most important tool in education. Artificial intelligence (AI) plays a crucial role in enabling the use of AI-based learning media, thereby facilitating the learning process in education. Artificial intelligence (AI)--based learning media in education will aid teachers and students in learning. This study aims to provide insight to all of us regarding the implementation of learning media based on artificial intelligence (AI) technology at SD Negeri Kotagede 1 Yogyakarta. This study employs a descriptive-qualitative approach. In the current educational landscape, particularly at SD Negeri Kotagede 1 Yogyakarta, artificial intelligence (AI) plays a crucial role. Artificial intelligence (AI) can facilitate the learning process flow by using learning media based on artificial intelligence technology. Teachers can utilize artificial intelligence to design programs and learning processes, while students can enhance their comprehension of the material and cultivate their critical thinking skills. Implementing learning media based on artificial intelligence (AI) technology can benefit educational institutions in a more interesting, innovative, effective, and creative learning process.

We are glad to introduce you that the 2021 3rd International Conference on Artificial Intelligence Technologies and Applications (ICAITA 2021) was successfully held on September 10-12, 2021. In light of worldwide travel restriction and the impact of COVID-19, ICAITA 2021 was carried out in the form of virtual conference to avoid personnel gatherings. Because most participants were still highly enthusiastic about participating in this conference, we chose to carry out ICAITA 2021 via online platform according to the original schedule instead of postponing it.ICAITA 2021 is to bring together innovative academics and industrial experts in the field of Artificial Intelligence Technologies and Applications to a common forum. The primary goal of the conference is to promote research and developmental activities in Artificial Intelligence Technologies and Applications and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in Artificial Intelligence Technologies and Applications and related areas.This scientific event brings together more than 100 national and international researchers in artificial intelligence technologies and applications. During the conference, the conference model was divided into three sessions, including oral presentations, keynote speeches, and online Q&A discussion. In the first part, some scholars, whose submissions were selected as the excellent papers, were given about 5-10 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-45 minutes to hold their speeches.We were pleased to invite three distinguished experts to present their insightful speeches. Our first keynote speaker, Prof. Yau Kok Lim, from Sunway University, Malaysia. His research interests include Applied artificial intelligence, 5G networks, Cognitiveradio networks, Routing and clustering, Trust and reputation, Intelligent transportation system. And then we had Prof. Peter Sincak, from Technical University of Kosice, Slovakia. His research includes Artificial Intelligence and Intelligent Systems. Lastly, we were glad to invite Chinthaka Premachandra, from Shibaura Institute of Technology, Sri Lanka. His research interests include Artificial Intelligence, image processing and robotics. In the last part of the conference, all participants were invited to join in a WeChat group to discuss and explore the academic issues after the presentations. The online discussion was lasted for about 30-60 minutes. The first two parts were conducted via online collaboration tool, Zoom, while the online discussion was carried out through instant communication tool, WeChat. The online platform enabled all participants to join this grand academic event from their own home.We are glad to share with you that we still received lots of submissions from the conference during this special period. Hence, we selected a bunch of high-quality papers and compiled them into the proceedings after rigorously reviewed them. These papers feature following topics but are not limited to: Artificial Intelligence Applications & Technologies, Computing and the Mind, Foundations of Artificial Intelligence and other related topics. All the papers have been through rigorous review and process to meet the requirements of international publication standard.Lastly, we would like to express our sincere gratitude to the Chairman, the distinguished keynote speakers, as well as all the participants. We also want to thank the publisher for publishing the proceedings. May the readers could enjoy the gain some valuable knowledge from the proceedings. We are expecting more and more experts and scholars from all over the world to join this international event next year.The Committee of ICAITA 2021List of titles Committee member, General Conference Chair, Technical Program Committee Chair, Academic Committee Chair, Technical Program Committee Member, Academic Committee Member are available in this Pdf.

Artificial intelligence speakers, artificial intelligence secretaries, and artificial intelligence translations are all now naturally incorporated into many people's daily lives. Artificial intelligence, which is used in various fields from simply increasing the convenience of work daily to creating artwork using artificial intelligence technology, is being actively studied in relation to the human emotional field. This study will examine the process in which artificial intelligence newly stimulates human emotions by learning emotions. going beyond just recognizing human emotions. Also, the study will examine the definition, technology, and cases of artificial emotional intelligence that can be used for emotional control or decision-making based on emotional information recognized and learned by artificial intelligence. The study has meaning in suggesting what elements are needed for the industrialization of artificial emotional intelligence.

The brave new world of artificial intelligence: dawn of a new era

The issue «Artificial Intelligence in the Sphere of Politics, Media Space and Public Administration» was conceived after updating the topic of artificial intelligence in the socio-political and value sphere at several scientific events organized by the Department of History, Political Science and Law of Moscow Region State University: Scientific and Public Forum «Values and artificial intelligence» (10.11.2019) and the round table «Ethics and artificial intelligence» (04.16.2019). This issue includes works devoted to the issues of the practice of artificial intelligence in public administration, public policy and other fields. The authors also touched on the nuances of scientific discourse and futorology. The compiler of the issue is Candidate of Political Sciences, associate professor Fedorchenko Sergey Nikolaevich. Artificial intelligence technologies are a pretty debatable topic. Artificial intelligence technologies are a pretty debatable topic. Currently, political leaders, scientists and members of the public are actively discussing the problems of artificial intelligence related to the following aspects: new opportunities for political communication; media policy, mediation of the political sphere; axiological policy; social networks, bots; government departments; opportunities and limitations of new technologies in political analysis; the importance of intelligent systems for democracy and democratic procedures; threats of cyber autocracy; legitimacy of the political regime and national security; political values, political propaganda, frames, political myths, stereotypes, «soft power», «smart power»; digital diplomacy; the risks of media manipulation, information wars, the formation of a political agenda; experience of using intelligent systems in the organization of high-quality communication between society and the state. The theme of the issue is extremely relevant for modern academic political science. artificial intelligence, digitalization, political science, scientific discourse, futorology, state, democracy, manipulation, political communications. The issue is aimed at specialists, political scientists, graduate students and all those who are interested in this difficult issue in an interdisciplinary manner.

Technology based on artificial intelligence (AI) is a revolutionary force that is changing economies, civilizations, and industries all over the world. AI, which has its roots in computer science and cognitive psychology, is a wide range of tools and methods designed to make robots capable of doing activities that have historically required human intellect. This abstract examines the many facets of artificial intelligence (AI) technology, including its fundamentals, uses, difficulties, and ramifications. Artificial Intelligence (AI) technology comprises several subfields such as robotics, computer vision, natural language processing, machine learning, and expert systems. Particularly, machine learning techniques have propelled incredible progress by allowing computers to learn from data and make judgments or predictions without the need for explicit programming. Natural language processing allows machines to comprehend, interpret, and produce human language, hence facilitating human-computer interaction. Machines can now see, analyze, and interpret visual data from the real world thanks to computer vision technology. Applications of AI technology may be found in a wide range of industries, including manufacturing, healthcare, finance, transportation, agriculture, education, and entertainment. AI-powered solutions help in drug discovery, medical imaging analysis, diagnosis, and customized therapy in the healthcare industry. AI algorithms are used in finance to power automated trading, fraud detection, risk assessment, and customer support. AI makes it possible for transportation to include predictive maintenance, traffic management, and driverless cars. Artificial Intelligence enhances supply chain management, quality assurance, and production processes in manufacturing. AI technology has the potential to revolutionize many industries, but it also comes with dangers and problems. These include privacy concerns, security hazards, ethical dilemmas, issues with prejudice and fairness, and effects on society and employment. Responsible AI methods, legal frameworks, multidisciplinary cooperation, and ethical standards are all necessary to meet these issues. Future prospects for AI technology development include the ability to solve challenging issues, spur creativity, increase productivity, and improve quality of life. But to fully utilize AI, one must take a comprehensive strategy that strikes a balance between the advancement of technology and ethical issues, human values, and social well-being. In summary, artificial intelligence (AI) technology is at the vanguard of innovation, presenting never-before-seen possibilities to transform whole sectors, spur economic expansion, and tackle global issues. AI has the ability to usher in a future of greater human-machine collaboration, innovation, and wealth through the promotion of collaboration, transparency, and ethical stewardship. the Ranking of the Artificial Intelligence using the TOPSIS Method . Interpretable Models is got the first rank whereas is the Ethical AI is having the Lowest rank. Keywords: Explainable AI (XAI), Interpretable Models, Ethical AI ,Responsible AI, Robustness and Adversarial Defense, Continual Learning, Federated Learning, Human-Centric AI, AI Governance and Policy

Background. Higher education in this digital era is faced with significant changes, especially with the development of artificial intelligence (AI) technology. Purpose. This research aims to explore the potential and limitations of integrating AI technology in improving the quality of distance learning and present findings that can guide the development of AI-based pedagogy. Method. This research method adopts a quantitative survey approach to detail the integration of artificial intelligence (AI) technology in the context of distance learning in higher education. A total of 20 students were randomly selected as respondents, with sample selection using the purposive sampling method. This process ensures maximum representation of students who have significant experience with the integration of AI technology in their learning. Data was collected through questionnaires focused on effectiveness, adaptability of material, and level of interactivity during learning. Next, descriptive and inferential statistical analysis will analyze patterns and relationships between variables to explore the effectiveness of AI technology, the factors that influence it, and its impact on student learning experiences. Results. Survey results show that the majority of students actively use AI technology, especially several times a week, and express a high level of satisfaction with the use of AI technology in distance learning. Virtual Reality or Augmented Reality learning experiences were considered to benefit the most, even though all respondents experienced challenges or obstacles in using AI technology. Conclusion. The conclusions of this research emphasize the need to address these challenges to maximize the benefits of integrating AI technology in increasing the effectiveness and efficiency of distance learning in higher education.

Background. Higher education in this digital era is faced with significant changes, especially with the development of artificial intelligence (AI) technology. Purpose. This research aims to explore the potential and limitations of integrating AI technology in improving the quality of distance learning and present findings that can guide the development of AI-based pedagogy. Method. This research method adopts a quantitative survey approach to detail the integration of artificial intelligence (AI) technology in the context of distance learning in higher education. A total of 20 students were randomly selected as respondents, with sample selection using the purposive sampling method. This process ensures maximum representation of students who have significant experience with the integration of AI technology in their learning. Data was collected through questionnaires focused on effectiveness, adaptability of material, and level of interactivity during learning. Next, descriptive and inferential statistical analysis will analyze patterns and relationships between variables to explore the effectiveness of AI technology, the factors that influence it, and its impact on student learning experiences. Results. Survey results show that the majority of students actively use AI technology, especially several times a week, and express a high level of satisfaction with the use of AI technology in distance learning. Virtual Reality or Augmented Reality learning experiences were considered to benefit the most, even though all respondents experienced challenges or obstacles in using AI technology. Conclusion. The conclusions of this research emphasize the need to address these challenges to maximize the benefits of integrating AI technology in increasing the effectiveness and efficiency of distance learning in higher education.

Background. Higher education in this digital era is faced with significant changes, especially with the development of artificial intelligence (AI) technology. Purpose. This research aims to explore the potential and limitations of integrating AI technology in improving the quality of distance learning and present findings that can guide the development of AI-based pedagogy. Method. This research method adopts a quantitative survey approach to detail the integration of artificial intelligence (AI) technology in the context of distance learning in higher education. A total of 20 students were randomly selected as respondents, with sample selection using the purposive sampling method. This process ensures maximum representation of students who have significant experience with the integration of AI technology in their learning. Data was collected through questionnaires focused on effectiveness, adaptability of material, and level of interactivity during learning. Next, descriptive and inferential statistical analysis will analyze patterns and relationships between variables to explore the effectiveness of AI technology, the factors that influence it, and its impact on student learning experiences. Results. Survey results show that the majority of students actively use AI technology, especially several times a week, and express a high level of satisfaction with the use of AI technology in distance learning. Virtual Reality or Augmented Reality learning experiences were considered to benefit the most, even though all respondents experienced challenges or obstacles in using AI technology. Conclusion. The conclusions of this research emphasize the need to address these challenges to maximize the benefits of integrating AI technology in increasing the effectiveness and efficiency of distance learning in higher education.

Background. Higher education in this digital era is faced with significant changes, especially with the development of artificial intelligence (AI) technology. Purpose. This research aims to explore the potential and limitations of integrating AI technology in improving the quality of distance learning and present findings that can guide the development of AI-based pedagogy. Method. This research method adopts a quantitative survey approach to detail the integration of artificial intelligence (AI) technology in the context of distance learning in higher education. A total of 20 students were randomly selected as respondents, with sample selection using the purposive sampling method. This process ensures maximum representation of students who have significant experience with the integration of AI technology in their learning. Data was collected through questionnaires focused on effectiveness, adaptability of material, and level of interactivity during learning. Next, descriptive and inferential statistical analysis will analyze patterns and relationships between variables to explore the effectiveness of AI technology, the factors that influence it, and its impact on student learning experiences. Results. Survey results show that the majority of students actively use AI technology, especially several times a week, and express a high level of satisfaction with the use of AI technology in distance learning. Virtual Reality or Augmented Reality learning experiences were considered to benefit the most, even though all respondents experienced challenges or obstacles in using AI technology. Conclusion. The conclusions of this research emphasize the need to address these challenges to maximize the benefits of integrating AI technology in increasing the effectiveness and efficiency of distance learning in higher education.