Beyond Augmented Intelligence While Leaving No One Behind
Creators: name: Donatella, Castelli
Publisher: name: Zenodo
Year: 2019
Subjects: Fisheries data, information systems, data infrastructures, fisheries sustainability, data-driven scientific approaches, augmented intelligence

description: Presentation given at "International Symposium on Fisheries Sustainability: Strengthening the Policy-Science Nexus" ,18-21 November 2019, Rome. The talk will provide a broad look at what we can expect from Information Systems technology based on current trends in ICT and it will speculate on future ones. Implications for human society and insights of how these will accompany and support changes in fishery sustainability will also be discussed. At the core of the radical change of Information Systems in the next 5-10 years is certainly the artificial intelligence and big data that these systems will embed. This intelligence will be empowered by the availability of a huge amount of heterogeneous data produced in large part by sensing technologies whose variety, distribution and purpose will be growing exponentially, from satellites, buoys, terrestrial and underwater vehicles, to those in the hands of citizens and scientists. The massive exploitation of these data will be enabled by the radical evolution of processing technologies (e-Infrastructures, edge computing, exascale computing, quantum computing) and communication networks, including mobile networks (e.g. 5G, 6G), that coupled with new software approaches and paradigms, will enable addressing problems of higher order complexity than we can envision today. A considerable part of the generated data will be publicly available. Uniform and transparent usage of data across domains, organizations, and challenges will become the norm. This process will be facilitated by the convergence by data providers towards common standards and by intelligent IT solutions that will automatically facilitate federation and harmonization when such convergence cannot be easily achieved. Algorithms, models and, especially, new forms of reasoning based on a variety of approaches (e.g. machine learning and deep learning) resulting from the current large investments in “Artificial Intelligence,” will empower systems that will be able to learn, inform, predict and decide. Augmented intelligence will span across a large variety of functionalities, from smarter retrieval and access of multimedia information to sophisticated “what-if” predictions also in contexts where not much data, skills and resources are available, to automatic discovery of phenomena and virtual reality collaboration environments powered by intelligent recommender systems. Trust and transparency will be mandatory properties in the resulting complex scenario of connected intelligent information systems (supporting decision-makers and taking decisions by themselves). The outcomes of today’s research on FAIR data management, blockchain, traceability, and artificial intelligence will provide solutions contributing to address these important questions, and the research community cannot do this in isolation. This forward scenario will need clear governance and policy decisions to address ethical questions and avoid the risk of concentrating power in the hands of few. Aspects like the data chosen for training a deep learning algorithm, the ownership of the knowledge resources empowering the augmented intelligence and the access to data and computational model chosen are key to guarantee that everyone can participate and that no one is left behind.