Abstract

With the increased use of Internet, governments and large companies store and share massive amounts of personal data in such a way that leaves no space for transparency. Large organizations and institutions are known to be ineffective in data safeguarding, so they can be stolen. The analysis of executable choreographies and their implementation in the real systems led us to the conclusion that it is possible to increase data privacy by using a different kind of automation made possible by the personal assistant of the future. A possible approach may be employing software systems integrated on a large scale, while the data control may be made by data owners. As it is very laborious to control this access manually, we argue in this paper that these assistants can become the real representatives of the people and the institutions that have legal access to private data management.

Recommended Citation

Alboaie, L. (2017). Towards a Smart Society through Personal Assistants Employing Executable Choreographies. In Paspallis, N., Raspopoulos, M. Barry, M. Lang, H. Linger, & C. Schneider (Eds.), Information Systems Development: Advances in Methods, Tools and Management (ISD2017 Proceedings). Larnaca, Cyprus: University of Central Lancashire Cyprus. ISBN: 978-9963-2288-3-6. http://aisel.aisnet.org/isd2014/proceedings2017/Security/5.

Paper Type

Event

Share

COinS
 

Towards a Smart Society through Personal Assistants Employing Executable Choreographies

With the increased use of Internet, governments and large companies store and share massive amounts of personal data in such a way that leaves no space for transparency. Large organizations and institutions are known to be ineffective in data safeguarding, so they can be stolen. The analysis of executable choreographies and their implementation in the real systems led us to the conclusion that it is possible to increase data privacy by using a different kind of automation made possible by the personal assistant of the future. A possible approach may be employing software systems integrated on a large scale, while the data control may be made by data owners. As it is very laborious to control this access manually, we argue in this paper that these assistants can become the real representatives of the people and the institutions that have legal access to private data management.