🇬🇧🤔Ethics and Intelligence at the Times of Artificial Intelligence — Part 1/2, Digital Transformation

intelligence ai and ethic
AI, DT, Intelligence and ethic


Consistent estimates show that the production of digital data accounts for 2,5 quintillion bytes and it is forecast that this number is expected to increase over 160 zettabyte per year in 2025. Similar quantities of measurement are popular to the surveys related to the magnitudes of the family of physics, while as far as data, quantification refers to the only one, among tangible and intangible productions, which currently needs SI prefixes in order to be defined in the real quantity.Present and foreseen volumes result from digitization and digitalization made possible through progress in digital technology since the beginning of the 50's of the previous century. The transformation of the analog data into digital and changing business models, aiming at achieving new added value opportunities from technology, are activities which have interacted and continue to interact in the volumetric production of data. Jointly with the transmission speed, they are basically linear components which by themselves are not able to explain progress in quantities. On the one hand, systematic digital interaction among business models and on the other hand that one between models, stakeholders and external social-economic networks (referents and deferents) lead to the complex system(1) of digital transformation [DT]. It’s such an interaction that causes and continues to be the main responsible for quantitative exponentiality.


The high positioning of intelligence along the pyramid of strategic needs hasn’t caused consequences and rethinks exclusively in the sectors historically dedicated to its use, i.e. military and institutional. First of all, with the progress of DT, it itself has become business model, creating value through interactions generated from the market targets of the reference models. Totally different, the new cycle of globalization(5) which has developed since 1990 up to now presenting features mainly based on ICT so that Intelligence function has become indispensable and not only necessary for temporary needs but also for whoever economic player without excluding the individual. Finally, Intelligence itself, being a discipline, has had to rethink its own role(6): the intelligence training knowledge cycle, still valid in its components, has been organized and evolved according to horizontal guidelines, among different steps and vertical within the steps of the strategic dimension. The change has taken place in both schemes, public and private, which foresee Intelligence as an advocate of objective scenarios in the presence of the decision-maker and of those, the Anglo-Saxon ones in particular (but not only), whose result of the analysis has to include action predictability as far as political position taken by the decision-maker towards reference systems to which it relates(7).


The forced passage from technology to the concept of “unrestricted Intelligence” has been a test-bed for all facilities dedicated to the activity. The approach to intelligence in terms of “great strategy” has rewarded and continues to benefit large, medium and small countries, which regardless of the technological level of departure had the systematic assumption of pooling competitive resources in their political, bureaucratic, entrepreneurial and social DNA. Even those who were struggling, because of their different structural problems, had the winning factor in their systematic sharing of DT process being allowed to climb positions. Universities, research centres and think-tanks already codified in their actions to be functional to the system have proved to be an irreplaceable source of resources from which to draw not only at a specialist, tactical level, but with a new vision of the whole.


Paradoxically, in Intelligence information cycle, the step which has been least affected by the stress of DT has been that of the analysis. Even if the proposition of the scenario were to be reiterated necessity in function of the change of a few planned variables, it is, however, the action which continues to suffer most heavily from human intervention. The discipline that is changing the status-quo is Artificial Intelligence [AI] for three reasons. The first, through different methodologies, historically is the first time that algorithms produce wisdom autonomously. In other words, they are able to produce knowledge independently and stratify it to make it available for further analysis and feedback. The second, AI, is multidisciplinary and multi-sectoral: therefore, the different developments of the market, in which it is protagonist adapt to the strategic evolution of ‘unrestricted intelligence’. The third, it is proving in the development to be a driving force for some sectors, even those of not immediate connection, an engulfing others. One thinks, by way of example, of the legal professions and of the advantage in terms of repeated analysis that the applications of AI are entailing.


DT has already produced disruption in Intelligence: collection, collation, analysis, dissemination and feedback have been upset in techniques and processes. The strategic strengthening will take place through the predictive models allowed by AI in two perspectives: the confirmatory one and OSINT (Open Source INTelligence). According to the first aspect, the interpretation of terabytes, stored and in the course of storage, will allow to change, knowledgeably, convictions and behavioural models acquired historically as true. Structured and sedimentary behaviours, as per analysts’ point of view, never questioned and at present at the basis of the choices of decision-makers, public and private, of any actor, will progressively become bias thanks to the interpretation capacity provided by AI: the macro sectors most affected by the phenomenon will be geo-politics, geo-economics and broad-spectrum socio-economic sciences. Similarly, from an OSINT point of view, the real-time prediction, not so much of behaviours as of the critical capacity to deal with them, will be a disruption factor. This will allow the decision-maker not to make one of the correct provided choices for but ‘the correct choice’ in real time.



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alessandro rossi🧟‍♂️💭

Innovation Intelligence Analyst| Meditator Zombie| Hikikomori White-Haired| Digital Borderline| Has A Black Hole Under The Pillow| A Bad Product Of💜Venezia🦁