Artificial Intelligence (AI) holds tremendous potential to enhance human decisions and to avoid cognitive overload and bias in high-stakes scenarios. To date, however, adoption of AI-based support systems has been minimal in settings such as hospitals, tribunals and public administrations.
The EU recognises the need to foster research and innovation in this field, and on 13 March, TANGO secured €8M to develop the theoretical foundations and the computational framework for synergistic human-machine decision making, paving the way for the next generation of human-centric AI systems.
TANGO argues that in order for AI to fully develop its enormous potential in terms of positive impact on individuals, society and economy, we need to completely rethink the way in which AI systems are conceived. People should feel they can trust the systems they interact with, in terms of reliability of their predictions and decisions, capacity of the systems to understand their needs, and guarantees that they are genuinely aiming at supporting them rather than some undisclosed third party. In other words, a symbiosis should be established between humans and machines, in which all parties are aligned in terms of values, goals and beliefs, and support and complement each other so as to reach objectives beyond what each would be able to do by itself.
“It takes two to TANGO! Our perspective is that a deep mutual understanding between humans and machines is essential for the development of truly effective and innovative AI systems that can expand human reasoning and decision-making capabilities“ says the project coordinator Andrea Passerini of University of Trento.
The symbiotic collaboration between humans and machines can truly positively impact on facilitating the adoption of AI systems.
“To achieve the symbiosis between humans and machines, the University of Pisa in close collaboration with researchers from the Scuola Normale Superiore coordinated by Prof. Fosca Giannotti, and from Cnr-Isti coordinated by Dr. Salvatore Rinzivillo, will work on the study and design of algorithms and systems also aware of their limits, which could be overcome by the synergistic cooperation with human beings. This synergistic collaboration will be made possible through models that allow humans to understand the behaviour and decisions suggested by the machine” says Prof. Anna Monreale who coordinates the team of the Computer Science Department of the University of Pisa.
The potential impact on individuals and society of the TANGO framework will be evaluated on a pool of real-world use cases of extremely high social impact, namely supporting women during pregnancy and postpartum, supporting surgical teams in intraoperative decision making, supporting loan officers and applicants in credit lending decision processes, and helping public policy makers in designing incentives and allocating funds. The success of these case studies will foster the adoption of TANGO as the framework of reference for developing a new generation of synergistic AI systems, and will strengthen the leadership of Europe in human-centric AI.
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