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THE JOURNAL OF ECONOMIC SCIENCES: THEORY AND PRACTICE, V.77, # 1, 2020, pp. 113-132
examining the condition of industrial facilities, pipelines, tanks, roof structures,
fences, dams, embankments.
Considering the health situation, nearly 8 percent of the adult society in Hungary suffers
from diabetes, and 8 percent is presumably close to becoming diabetic. One of the
symptoms of diabetes is vascular damage, which can be observed, among other things,
in the blood vessels of the fundus. Although AI-based diagnostic solutions are
performing better on smaller samples, OTT-ONE Plc. wants to develop an efficient pre-
screening system as a first step, which could then be used nationwide. With the help of
the large amount of data obtained during the pre-screening, it will be possible to develop
a high-precision diagnostic system in the future (Veres, 2019).
Taking into consideration the composition of the Hungarian economy and the activities
of the sectors, where it can be expected and there is the possibility of further automation
processes are: agriculture, transportation, processing industry, warehousing sectors.
Whereas social services, health, and education require significant interaction and human
expertise, although there is still scope for the introduction of additional AI technology, it
is one of the least automated processes in Hungary today (Fine et al., 2018).
Efforts and activities for AI in Hungary
In April 2018, the 24 member states of the European Union, including Hungary as
well, signed a declaration expressing their intention to cooperate in the field of
Artificial Intelligence Research and Development and to jointly develop ethical rules
for the use of AI. Confirming the content of the statement, the European
Commission announced a European artificial intelligence strategy back in April. In
parallel, the Commission, together with the Member States, is developing a common
KPI and monitoring system on the Union's AI Watch knowledge-sharing portal,
which will allow the Member States to monitor the progress of announced programs.
Pillars of the Coordinated Plan: encouraging investment, ensuring access to data
necessary for development, encouraging research, supporting talent, and increase
user confidence.
Increasing investments aimed at the development of artificial intelligence
applications: The Commission aims to achieve at least € 20 billion in innovation
and investment programs by 2020, using a combination of private and public
resources. The Commission also expects projects for startups, innovative SMEs
to receive significantly more funding than before. Therefore, the Commission
will set up a dedicated fund to support start-ups and growth companies in the
field of artificial intelligence and blockchain. By setting up Artificial Intelligence
Centers of Excellence, the Commission would strengthen Member States' R&D
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