| Popis: |
The security of foundations has become of intense practical importance because, Universal Intelligent Systems (UIS) will be developed and deployed in this decade that they will encompass every device and every sensed activity. Intelligent Systems (IS) are characterized by integration of vast amounts of pervasively inconsistent information in close human interaction by systems that are educable, adaptive-in-real-time, self-informative (cf. [Perry 2012]), and secure. However, the rise of Universal Intelligent Systems will open up new kinds of high-level semantic cyberattacks. Computer Science is highly dependent on the consistency of is foundations both in hardware and in software. Because of this extreme dependence, inconsistencies in foundations can be used in cyberattacks to make erroneous inferences enabling enormous economic, political, and social damage. An Intelligent System (IS) is characterized by integration of vast amounts of empirical information in close human interaction using Intelligent Applications that are educable, adaptive-in-real-time, self-informative, and secure. In this decade, Universal Intelligent Systems (UIS) will be developed and deployed in the technical sense that they will encompass every device and every sensed activity. Effective discourse between computer systems and humans (as well as between computer systems) is crucial for the development and universal deployment of Universal Intelligent Systems. Establishing robust empirical information takes work and maintaining robustness takes even more work. Information can need to be disambiguated, reinterpreted, and otherwise clarified. Empirical information is subject to disagreement because it could be otherwise. Because of the vast empirical information in an Intelligent System from multitudinous sources, disagreements between humans, between humans and systems, and between different Intelligent Applications will always be present. Disagreement should be productive and move discourse forward. |
