To begin a discussion of cyber-policy and infrastructure given the “short arm” of predictive knowledge; we must first define predictive knowledge and the “short arm of”. “Predictive knowledge is a group of approaches to machine perception and knowledgeability using large collections of predictions made online  in real-time through interactions with the environment. (Evaluating Predictive Knowledge) Short are refers to an idiom meaning something doesn’t have far reach.

Suggesting a singular approach to cyber policy and infrastructure would be devasting to the growth of technology and cyber security.  In the On life Manifesto  the authors propose that we need new forms of thinking and doing at multiple levels in order to address various issues. (Oxford Internet Institute) Cyber policy and infrastructure needs an interdisciplinary approach. Recalling a question on a survey regarding whether I think other majors should participate in C.T.F. (Capture The Flag) events. I said yes, but most people do not want to participate in such activities if doesn’t immediately add some sort of perceived value to their lives. The approach to cyber and infrastructure policies given the ever changing “short arm” of machine learning needs to be a base set of policies that can be escalated and deescalated in various forms of adherence, then reset of sorts when data changes to the point of policies. So, in short: the policies that are created as the new standard for cyber-policy and infrastructure will need to address at the bare minimum 3 questions. The three question that must be asked when deciding a new path are: what was, what is, and what’s to come. What was deals with policies we use to have, What is deals with the policies we currently have in place, and What’s to come deals with future policies created now for technologies not yet created or will be created in the near future. This model can help develop our ever evolving policies, just as fast as the technology itself is created.

Works Cited

Evaluating Predictive Knowledge. Alberta: Department of Computing Science, University of Alberta, 2018.

Oxford Internet Institute. “The Onlife Manifesto.” 2009.