IEEE International Workshop on Symbiotic Autonomous Systems 2018

The SAS Workshop at TTM is promoted by the IEEE FDC Symbiotic Autonomous Systems (SAS) Initiative, aiming at clustering a broad community of researchers (both in academia and industry), practitioners from the industry and institutions that are likely to be affected by the dissemination of autonomous systems and are responsible to manage the social, legislative and ethical implications.

The co-location with TTM 2018 in San Diego was ideal to tackle these issues due to the interest of the TTM audience in shaping the future and the expected relevance of Symbiotic Autonomous Systems in the 4th decade of this century.

Although there is a generalized consensus that fully-fledged symbiotic autonomous systems are unlikely to become operational very soon, it is clear that part of this evolution is already ongoing and the whole society would benefit from its early shaping and impact prediction.

The workshop format included keynotes, brainstorming sessions, and focused presentations.

The goal of the workshop is to speculate on evolution trends and paths rising questions as well as creating frames for developing answers. You can get more information on symbiotic autonomous systems in the SAS Initiative White Paper (PDF, 3 MB).

Welcome Remarks

Welcome and Introduction to SAS - Roberto Saracco

Roberto Saracco, Chair of the Symbiotic Autonomous Systems Initiative, opens up the workshop and sets the stage for an interactive discussion on some of the key topics that are emerging from the initiative. Saracco encourages collaboration, realizing implications, mobilizing resources and co-designing the roadmap for SAS going forward.

Interactive Presentations

Landing in a Self-Flying Airplane. Ready for it? - Antonio Crespo

Antonio Crespo, Concordia Institute for Information Systems Engineering, takes a look at the aviation regulation challenges of a self-flying airplane and how regulation can be accomplished with international harmonization. Crespo lays out the dynamic between IoT, big data, and gearing machine learning toward accurate and appropriate decision-making.