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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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