Sztuczna inteligencja może przyśpieszyć wzrost gospodarczy

Do 2023 roku potrzebne jest 9 mld zł, aby w pełni wykorzystać potencjał sztucznej inteligencji – wynika z szacunków Ministerstwa Cyfryzacji. Dostępne obecnie mechanizmy finansowania zapewniają ok. 19 proc. tej kwoty. Dodatkowe finansowanie na poziomie 7 mld zł musi wygenerować sektor publiczny i prywatny – mówi Hubert Romaniec z resortu cyfryzacji. Jak podkreśla, szerokie zastosowanie sztucznej inteligencji przyspieszy wzrost gospodarczy i przeobrazi rynek pracy, ale potrzebne są odpowiednie ramy prawne i etyczne oraz budowanie świadomości dotyczącej zastosowań tej technologii.

Dla powodzenia rozwoju sztucznej inteligencji istotny jest przede wszystkim dostęp do danych publicznych i przemysłowych. Tylko duże zasoby danych pozwalają nam trenować algorytmy, które są podstawą do rozwoju usług i kolejnych możliwości zastosowania tej technologii. Musimy też zadbać o finansowanie zarówno prac badawczo-rozwojowych, jak i nowatorskich przedsięwzięć – mówi Hubert Romaniec, naczelnik w Departamencie Współpracy Międzynarodowej Ministerstwa Cyfryzacji.

Jak podkreśla, bezwzględnie potrzebne jest budowanie świadomości dotyczącej tego, jak sztuczna inteligencja przeobrazi gospodarkę i społeczeństwo, tak aby absorpcja tej technologii była jak najszersza.

Nie możemy też zapomnieć o aspektach prawnych i etycznych. Sztuczna inteligencja od razu budzi skojarzenia z czymś potencjalnie groźnym. Uświadomienie szans, które się z nią wiążą, wymaga odpowiedniego prawa i wysokich standardów etycznych – podkreśla Hubert Romaniec. – Musimy także zadbać o finansowanie prac zarówno badawczo-rozwojowych, jak i nowatorskich przedsięwzięć.

Rozwój sztucznej inteligencji to dla Polski przede wszystkim szansa na przyspieszenie wzrostu gospodarczego. Z wyliczeń Ministerstwa Cyfryzacji wynika, że szerokie wykorzystanie technologii związanych z uczeniem maszynowym, wykorzystaniem danych i sztucznej inteligencji pozwoliłoby osiągnąć poziom PKB zaplanowany na lata 2035–2036 już o pięć lat wcześniej.

Mamy do czynienia z globalnym wyścigiem między trzema blokami – Chinami, UE i USA. Dobrze by było, aby Polska wpisała się w trend rozwoju sztucznej inteligencji w kontekście swoich partnerów unijnych – mówi Hubert Romaniec.

Sztuczna inteligencja jest technologią, która ma charakter transformacyjny – w nadchodzących latach przeobrazi nie tylko przemysł i gospodarkę, lecz także cały rynek pracy. Ministerstwo – opierając się na danych Gartnera – wskazuje, że na każde sto miejsc pracy, które zostaną wyparte przez sztuczną inteligencję, pojawi się blisko 140 nowych.

Wyzwaniem jest, aby te miejsca pojawiły się tutaj, czyli żeby one nie zniknęły z Polski, i żeby miały jak najwyższą jakość – podkreśla Hubert Romaniec.

Jak podkreśla, najważniejszy krok, który musi podjąć administracja, sektor pozarządowy i biznes, to wyznaczenie strategicznych dla Polski obszarów, w których sztuczna inteligencja mogłaby wygenerować największą wartość dodaną. Zdaniem eksperta do takich sektorów z pewnością należy zaliczyć rolnictwo, energetykę czy służbę zdrowia.

Nasze badania pokazują, że aby w pełni wykorzystać potencjał sztucznej inteligencji, do 2023 roku potrzebujemy nakładów rzędu 9 mld zł. Ok. 2 mld zł jest dostępnych w obecnych instrumentach finansowych, ale wciąż pozostaje dodatkowe finansowanie na poziomie 7 mld zł. Tę kwotę musi wygenerować sektor publiczny i prywatny. Dodatkowo musimy też zapewnić odpowiednie oprzyrządowanie prawne, czyli wypracować takie rozwiązania, które umożliwią bezproblemowy rozwój tej technologii w Polsce. To są główne wyzwania na nadchodzący czas – mówi przedstawiciel Ministerstwa Cyfryzacji.

Z przedstawionego w listopadzie ubiegłego roku dokumentu „Założenia do strategii AI w Polsce – Plan działań Ministerstwa Cyfryzacji” wynika, że w nadchodzących latach sztuczna inteligencja może się stać jednym z nowych motorów polskiej gospodarki. Aby to umożliwić, resort utworzył platformę współpracy międzysektorowej, złożoną z blisko dwustu ekspertów (wywodzących się z administracji, NGO-sów, biznesy i nauki), którzy opracowali rekomendacje rozwoju AI w Polsce w czterech głównych obszarach: gospodarka oparta na danych, finansowanie badań i rozwoju, edukacja oraz etyka i kwestie prawne.

źródło: biznes.newseria.pl

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