Do we produce data to create pollution like plastic?

In the Pacific trash island there are 250 pieces of plastic for every human being.

of Piernicola Pedicini

Plastic was one of the most important innovations of the nineteenth century, but we pay the consequences because in the invention its natural disposal was not contemplated.

We are generating the same phenomenon by collecting declassified data thinking that they are still useful, but we have not thought about how to reclassify them and consequently how to dispose of them.

 

CURRENT CONTEXT

IMMEDIATE FUTURE

ARTIFICIAL INTELLIGENCEHEURISTIC INTELLIGENCE
MACHINE LEARNINGDATA LEARNING
INTERNET OF THINGSINTERNET OF PEOPLE

Produciamo Dati per creare inquinamento come la Plastica ?

Nell’isola di spazzatura del Pacifico ci sono 250 pezzi di plastica per ogni essere umano

Di Piernicola Pedicini

La plastica è stata una delle innovazioni più importanti del XIX° secolo, ma ne paghiamo le conseguenze perchè nell’invenzione non si è contemplato il suo smaltimento naturale.

Stiamo generando lo stesso fenomeno raccogliendo dati declassificati pensando che siano comunque utili, ma non abbiamo pensato a come riclassificarli e di conseguenza come smaltirli.

CURRENT CONTEXT

IMMEDIATE FUTURE

ARTIFICIAL INTELLIGENCEHEURISTIC INTELLIGENCE
MACHINE LEARNINGDATA LEARNING
INTERNET OF THINGSINTERNET OF PEOPLE

 

 

Do we produce incomprehensible data?

“The complexity of a microcircuit, measured for example by the number of transistors per chip, doubles every 18 months (and therefore quadruples then every 3 years).” (Moore’s first law)

We continue to generate I.o.T. at an ever increasing speed both as advanced versions of the previous one and as new ones, collecting quantities of data that we sometimes neglect and sometimes memorize but without any classification.

This attitude generates constant misunderstanding on the part of the software in using these declassified data and without any possibility of adding and creating new heuristics.

The last plane crash in Ethiopia creates a paradox that should make us think further considering that it had already happened previously in Indonesia.

“Yesterday, Ethiopia chose to entrust the analysis to Germany, but the German federal agency for air accidents had declined the request for” lack of the necessary software “to analyze them.” Source Il Messaggero of Thursday 14 March 2019

We are so unaware of the scenarios we are producing that we delegate to I.o.T. and we authorize the software that interfaces them to decide or worse to exclude the man and his heuristics in the reality of the context.

So I ask myself a question too many devices have evolved or is the classification of the data we collect missing to allow software to work on a heuristic basis ?