Title

Unlocking the symbiotic relationship of Artificial Intelligence, Data Intelligence, and Collaborative Intelligence for Innovative Decision-Making and Problem Solving

Abstract

In the pursuit of enhancing the efficiency and effectiveness of Artificial Intelligence, it is imperative to explore synergies with other form of intelligence, such Data Intelligence and Collaborative intelligence. These forms of intelligence (along with Embodied Intelligence) constitute a new transformative paradigm of intelligence that offers potential for increased added value when synergized. However, their synergy requires understanding and harnessing the symbiotic relationship between these intelligences. The reimagination of decision making and problem-solving processes, is essential to unlock this symbiotic potential fostering more meaningful, but at the very same time more sustainable AI utilization. In other words, AI itself brings a certain value that can be (and must be) increased through integration with other forms of Intelligence. This, in turn, has a list of preconditions / prerequisites that must be satisfied by the above - Artificial, Data and Collaborative Intelligence - components. These prerequisites are diverse in nature and span both the artifacts in question, such as AI, data (type, format, quality, value, availability, accessibility, incl. openness), stakeholders’ skills and literacies, but also management and organizational aspects. In other words, each form of Intelligence influences the others, making it crucial to explore their interconnections. This talk will endeavour to uncover this intricate web of relationships between the three forms of intelligence, taking a step towards a more meaningful and intelligent approach to decision making and problem solving.

Biography

Anastasija Nikiforova is a researcher (PhD in Computer Science – Data Processing Systems and Data Networking), whose research interests include, but are not limited to, data management with a particular focus on data quality and data integration issues, public administration, open data- and open government data (ecosystems)-related topics, covering both technological and societal aspects of the above, Smart City, Society 5.0, sustainable development, IoT, HCI and digitization. She is an assistant professor of Information Systems at University of Tartu (Faculty of Science and Technology, Institute of Computer Science, Chair of Software Engineering), and a part of European Open Science Cloud Task Force “FAIR Metrics and Data Quality”. She is an expert of the COST – European Cooperation in Science & Technology, as well as Latvian Council of Sciences in (1) Natural Sciences – Computer Science and Informatics, (2) Engineering and Technology-Electrical Engineering, Electronics, Information and Communication Technologies (ICT), and (3) Social Sciences – Economics and Business. She serves as a program committee for several international conferences (20+) and invited reviewer for 15+ high-quality (Q1-Q2) journals. She is an Editorial Board Member and an Associate Editor for several journals (Government Information Quarterly (GIQ, Elsevier), BMC Research Notes (Springer Nature), eJournal of eDemocracy and Open Government (JeDEM), Data & Policy (Cambridge Press), International Journal on Semantic Web and Information Systems (IJSWIS) (IGI Global) etc.), part of organizing committee and track (co-)chair for several conferences, including EGOV, DGO. She is also an EDSC ambassador (European Digital Skills Certificate, as part of Action 9 of the Digital Education Action Plan (2021- 2027) – JRC/SVQ/2022/OP/0013). Read more -> https://anastasijanikiforova.com/