About the Symposium

Artificial intelligence (AI) has meticulously transferred our society, culture and everyday lives. AI as a discipline covers machine learning, natural language processing, computer vision, robotics and export systems and deep learning to solve the real time problems of the society. These components allow machines to learn, understand, and interact with the world around them in ways that were previously impossible.

Artificial Social Intelligence (ASI) involves integration of AI with social science insights to make systems that imitate, understand, and participate in human social interactions and behavior, emotional comprehension, compassion and sensitivity to social cues. These improvements contribute more reliable, concerned and successful engagements between human and AI-driven systems. By analyzing massive datasets of human interactions, AI models can identify patterns of social conduct and incorporate them into their responses. Natural Language Processing techniques empower AI systems to grasp and generate human language, enabling them to discern emotional undertones, sentiments, and contextual nuances in text or speech. This expertise is essential for crafting proper responses in social conversations and customer interactions. Systems equipped with artificial social intelligence can identify and respond to emotions expressed in human communication.

Artificial Social Intelligence can simulate social interactions for diverse objectives, like training customer service representatives or aiding in public speaking practice. Virtual agents driven by this technology can engage in role-playing scenarios to facilitate users' social skill development.

Virtual assistants and chat-bots integrated with artificial social intelligence can facilitate more immersive and empathetic interactions. They can adapt their responses according to the user's emotional state and the context of the conversation. Artificial social intelligence finds potential applications in various sectors. For instance, AI could assist therapists in mental health treatments by recognizing emotional cues in patients' expressions and responses. Similarly, the AI-driven educational tools can give personalized feedback and support to students' learning activities. The concept of Artificial Social Intelligence extends to the design of social robots that engage with humans across diverse contexts, including healthcare, education, and entertainment. These robots should be capable in comprehending and reacting to human emotions and social cues. It could help in getting more precise diagnoses, personalized treatment plans, and drug development for the rapid treatment. It will also help in financial planning, risk management, fraud detection, and investment decisions. It will help in improving the transportation safety, reduce traffic congestion, and enable the development of autonomous vehicles. Optimization of manufacturing processes, reduction of waste and improvement of product quality will be easier to perform and produce. The applications of this area of research and study are appreciably rising and a promising field with numerous opportunities for the researchers and learners from the various industries and academics.

Important Date

Opening of Paper Submission site : 10th June, 2024
Last Date of Paper Submission: 31st August, 2024
Notification of Acceptance/Rejection: 09th September, 2024
Camera Ready Submission: 27th September, 2024
Last Date of Registration: 1st October, 2024
Symposium date: 26th - 27th October, 2024


Chair's Persons

Prof. Jair Minoro Abe

Paulista University, Brazil.

Jair Minoro Abe received B.A. and MSc in Pure Mathematics - University of Sao Paulo, Brazil. Also received the Doctor degree and Livre-Docente title from the same University.

Prof. Dr. Srikanta Patnaik

I.I.M.T., Bhubaneswar, Odisha, India.

Prof. Srikanta Patnaik is Director of I.I.M.T., Bhubaneswar, India. He has received his Ph. D. (Engineering) on Computational Intelligence from Jadavpur University, India in 1999.

Prof. Kazumi Nakamatsu

University of Hyogo, Japan.

Kazumi Nakamatsu received the Ms. Eng. and Dr. Sci. from Shizuoka University and Kyushu University, Japan, respectively.

Prof. (Dr.) Francesco Vigliarolo

Director, UNESCO Chair, Argentina.

Dr. Francesco did his PhD in Social Sciences, specializing in economic sociology, ethical finance, and social economics.


Sponsored by

IRNet India

IIMT, Bhubaneswar (India)