Page 21 - Proceedings of the 2018 ITU Kaleidoscope

The information obtained from network deployments is being stored and represented in a space data
infrastructure, able to show the coverage and availability of each service with their technical
parameters.

Once this system has been completed, we will have a tool to evaluate scenarios in terms of frequency,
power and geographical information giving us the basis for further simulations and model validation.
Concerning the application of this vision as a tool to plan spectrum use and occupancy we are at an
early stage collecting and organizing data sets that we need for exploiting data reservoirs.
The use of geographical interfaces gives us the opportunity to plot different patterns obtained from
propagation calculus and contrasted by collaborative sensing provided by handhelds with software
applications.
Data ownership regulations

An important issue in all the processes related with AI and ML techniques is of raw data ownership.
The ICT Secretariat is analyzing the type of regulation needed to maximize the use of the raw data
produced by telecommunication systems as a part of the systems’ work, without the requirement for
user consent.
We also have the data produced by software applications which are able to capture information from
the telecommunications system which have the previous consent of the user.
The difference between the data sources is data ownership because the idea is to promote data sharing
to enable algorithm development.
Data is the fuel of this new ecosystem; that is why we think the government must ensure data
availability to produce different initiatives to provide results from looking for new patterns and
conclusions in the minimum amount of time.
Data availability will expand innovation in AI development.

The definition of regulation that preserves user privacy is very important for expanding the use of
these tools for assuring the user’s rights.
It is very important that the definition and registration of variables that can be collected from the
different communication systems as a part of the system log, each variable registered combined with
any device positioning, will provide us the opportunity to know the different correlations between
multiple variables, defining the system’s behavior.

The ICT Secretariat is strongly involved in the regulatory definitions that could promote data
availability and information sharing because these actions will promote the growth in the marketplace.

Artificial intelligence and machine learning in other national policies

Argentina’s Government is encouraging the use of AI and ML to improve actions in several industries,
such as energy, telecommunications, transport and agriculture; the use of this technology in these
areas will provide the initial scenarios to base the roots of a new economy on.
The ICT Secretariat develops new policies on the Internet under the Direction of Internet and New
Technologies, and the Direction of Economic Regulation and Competition studies the impacts of
these new applications.
To promote the adoption of emerging technologies, Argentina has a network of public and private
institutions studying AI and ML technologies. As an example of institutions that work in this area,
the following list shows those related with CONICET (National Council of Science and Technology)
that work under the umbrella of the Science and Technology Ministry.

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