Generative AI Central’s Post

This paper pertains to AI agents simulating human society. It features 25 agents in a small virtual town like the Sims. Researchers (from Google Deepmind and Stanford) observed a curious fact: Instructing a single agent to throw a Valentine day's party, the agents autonomously spread the invitation, made new acquaintances, and even asked each other on date. In short, they behave like humans, like a human society. _ Could agentic AI serves as society simulacra for social studies and simulations? Many fields such as Politics, Pandemics, Sociology, Military, Macroeconomics can benefit from such large scale simulations. What an awesome time to leave in!

The title of my speech was "From the Field to Artificial Intelligence." In this speech, I talked about 4 types of sociology in Iran (since its establishment): Sociologists who were interested in field research, direct observation of social facts, and direct connection with the society. I call them In-society Sociologists. Sociologists who were fascinated by the arrival of computers and computer-based statistical analysis (SPSS). They reduced society to numbers and figures. I call them Desktop Sociologists. Sociologists who were fascinated by the arrival of the Internet and smartphones and sought to understand society through the phone screen. They often Google. I call them Screen Sociologists. Sociologists who want to understand society through artificial intelligence. They ask AI any question they have about society. I call them AIA Sociologists (Artificial Intelligence Assistant). In short, we are witnessing sociologists distancing themselves from society. They want to understand society through new communication technologies. The connection with reality is getting less and less day by day.

⏰ Excited to announce the publication (today!) of our paper in Nature Human Behavior! 🚀 In this work - A New Sociology of Humans and Machines - we explore the evolving relationships between humans and machines. As bots, AI, and algorithms become part of our daily lives, understanding these human-machine dynamics has never been more critical. Big thanks to my co-authors Taha Yasseri, Tobias Werner and especially Milena Tsvetkova, whose leadership really pushed this project forward and made it all possible. 🧐 Read more here: https://lnkd.in/drPaUtU3 🖋️ Share your thoughts below! Do you think machines should be considered active participants in our society? Or should they be regarded as tools? #AI #HumanMachineSystems #SocialScience Nature Magazine Nature Portfolio

AI is becoming a powerful tool in psychology, sociology, and communication studies, from analysing vast data sets to synthesising lit reviews. #AI #University #Research

🚨 New publication just dropped!🚨 Congratulations to Tom Chan, PhD Researcher from the ANU School of Cybernetics, and co-authors. ✨ This new publication looks at #Artificial Intelligence (AI), #Public Policy, and the #Sociology of Expectations through examining how AI is (or isn't) actually being developed and used to address #sustainable policy problems.✨ You can read this new research here: https://lnkd.in/eQbNR3Da

This year is the 100th anniversary of the introduction of the Ising model in Physics, which also found applications to understanding the dynamics of human interaction in computational sociology. We just published a paper titled "The Ising model celebrates a century of interdisciplinary contributions" in npj Complexity journal. You can access the paper at the link https://lnkd.in/eZNMTaS3

WHAT IS AN OMNOLOGIST❓ An omnologist is a SCHOLAR or SCIENTIST who studies a wide range of subjects, aiming to INTEGRATE knowledge across multiple disciplines to gain a holistic understanding of complex systems and phenomena. Unlike specialists who focus deeply on a narrow field, omnologists seek to understand the interconnections and overarching principles that link different areas of knowledge. In practical terms, an omnologist may draw from fields such as PHYSICS, BIOLOGY, SOCIOLOGY, PHILOSOPHY, and more to address questions that require a broad, interdisciplinary approach. Galileo Galilei, (1564-1642) epitomizes the role of an omnologist, seamlessly blending his groundbreaking work. Such perspective is particularly valuable in tackling challenges like CLIMATE CHANGE, HEALTHCARE, and TECHNOLOGICAL INNOVATION, where solutions often require insights from multiple domains. Omnologists emphasize the synthesis of INFORMATION, the identification of PATTERNS and RELATIONSHIPS, and the application of INTEGRATIVE THINKING to solve complex problems. Their work often involves creating new frameworks and methodologies to bridge gaps between traditional academic disciplines, fostering a more connected and comprehensive view of the world. Studying the systems, history, and interrelationships of these common characteristics across disciplines, omnologists use ONTOLOGY to analyze how these methodologies have evolved and how they interact within and across different fields. They examine the evolution of SCIENTIFIC METHODS, quantitative and qualitative techniques, and THEORETICAL FRAMEWORKS, understanding how these methodologies have been adapted and refined over time. For instance, tracing the development of STATISTICAL METHODS from their origins in the social sciences to their application in genomics reveals how cross-disciplinary adoption leads to innovative practices. By analyzing the interactions between different methodologies and principles, omnologists create SYSTEMS MODELS that illustrate how components like EMPIRICAL EVIDENCE, CRITICAL THINKING, PEER REVIEW, and REPRODUCIBILITY interact. This helps identify leverage points for improving research quality and innovation. Studying specific examples of genuine innovations that have had lasting impacts, they identify key factors that contributed to their success. Conducting META-RESEARCH to study research practices themselves, omnologists identify best practices, common pitfalls, and opportunities for improvement across disciplines. Omnologists bring a unique interdisciplinary perspective that is crucial for tackling complex challenges, especially those involving advanced artificial and autonomous intelligence (AI) due to their ability to integrate knowledge from diverse fields. This encourages innovations both cutting-edge and ethical, providing exponential value to any organization looking to harness the power of AI responsibly and strategically. 〰️ #Omnologist 🌐 for #AI x #HI🔬#Omnology 🌍

#CallforPapers| A special issue of #EasternEuropeanHolocaustStudies is announced on The Quantitative Turn in Holocaust Research. This special issue explores the growing role of quantitative methods, ranging from statistical techniques to natural language processing to deep learning and data visualizations in Holocaust research. Scholars from diverse fields, including history, sociology, demography, economics, and digital humanities, are invited to submit abstracts that showcase innovative research, methodologies, and case studies that illuminate new perspectives on the Holocaust through these advanced techniques. Submit your proposal by December 6, 2024. More about the issue and the calendar of submission:https://lnkd.in/d8qEc7Fm