By Dr Maria Bada
In the ever-evolving landscape of technology, one paradigm that has gained significant traction is Social Artificial Intelligence (Social AI). As we continue to witness rapid advancements in artificial intelligence (AI), the integration of social elements into AI systems has become a fascinating and transformative area of research. This blog explores the intricacies of Social AI, its impact on society, and the delicate balance between technological innovation and human connection.
Social AI refers to the integration of AI technologies with social components to enhance human-computer interactions and foster a more dynamic and personalised user experience [1]. Unlike traditional AI systems focused on data processing and problem-solving, Social AI aims to simulate and understand human social behaviour, emotions, and communication.
Human-AI Collaboration: Ensuring that Social AI complements human abilities rather than replacing them is essential. Striking the right balance in human-AI collaboration is vital for harmonious integration [7].
Social AI represents a significant leap in the evolution of artificial intelligence, bridging the gap between technology and human connection. As we navigate this intersection, it is crucial to approach the development and deployment of Social AI with a mindful and ethical perspective. By addressing challenges and fostering responsible innovation, we can unlock the full potential of Social AI to enhance our lives and relationships in a rapidly evolving digital era.
References:
[1] Fan L, Xu M, Cao Z, et al. Artificial Social Intelligence: A Comparative and Holistic View. CAAI Artificial Intelligence Research, 2022, 1(2): 144-160. https://doi.org/10.26599/AIR.2022.9150010
[2] Formosa, P. (2021). Robot autonomy vs. Human autonomy: Social robots, artificial intelligence (AI), and the nature of autonomy. Minds and Machines: Journal for Artificial Intelligence, Philosophy and Cognitive Science, 31(4), 595–616. https://doi.org/10.1007/s11023-021-09579-2
[3] Bada, M. (2020). Empathy by design: The role of empathy in human-robot interaction (HRI). Cyberpsychology, Behavior, and Social Networking, 23(10), 723-723, October 7 2020. https://www.liebertpub.com/doi/10.1089/cyber.2020.29198.cypsy
[4] Žliobaitė, I. (2017). Measuring discrimination in algorithmic decision making. Data Mining and Knowledge Discovery, 31(4), 1060-1089.
[5] Nikolinakos, N. T. (2023). Ethical Principles for Trustworthy AI. In EU Policy and Legal Framework for Artificial Intelligence, Robotics and Related Technologies-The AI Act (pp. 101-166). Cham: Springer International Publishing.
[6] Deshpande, A., & Sharp, H. (2022, July). Responsible AI Systems: Who are the Stakeholders?. In Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society (pp. 227-236).
[7] Peeters, M. M., van Diggelen, J., Van Den Bosch, K., Bronkhorst, A., Neerincx, M. A., Schraagen, J. M., & Raaijmakers, S. (2021). Hybrid collective intelligence in a human–AI society. AI & society, 36, 217-238.