(ANSA) – ROME, JUN 19 – Education, healthcare, public administration, science, industrial ecosystems: the advent of generative artificial intelligence (GenAI), represented by ChatGpt, intersects every segment of society.
In its first report on GenAI, the Joint Research Centre (JRC) analyses the technical and socio-economic impact of this disruptive technology, starting from the global competitive landscape, largely dominated by the United States and China.
The EU ranks third, contributing 7% of global GenAI activities – i.e. research, new patents, commercial operations and investments in the technology – compared to 60% for China and 12% for the US.
According to the researchers, Europe ranks second globally in GenAI research publications, producing 21% of the world’s articles, over 3,000 in 2023. However, patents filed in the EU represent only 2% of the global amount, highlighting the need for investment in innovative GenAI solutions. Furthermore, the experts note, European GenAI startups have difficulty accessing venture capital, with a significant funding gap compared to the US.
As for labor market dynamics, the report highlights how doctors, teachers, engineers and other highly skilled professions are impacted by GenAI more than previous technological innovations.
According to the researchers, teachers are more exposed to AI than 90% of other professions.
GenAI, the experts also point out, is also causing a change in the demand for skills, highlighting a greater need for transversal skills such as critical thinking, emotional intelligence and digital skills related to the development and maintenance of AI systems.
Among the sectors most affected by GenAI, healthcare stands out.
In this case, the new technology could help address the pressure of an aging population and labor shortages.
In the manufacturing sector, new business models inspired by generative AI are emerging.
For example, the new GenAI model, agent AI, enables the autonomous management of production activities, process automation, supply chain optimization, or waste reduction, leading to overall greater efficiency.
Finally, the report investigates the impact on demographic groups, differently affected by the use of GenAI.
Although the technology can be useful in learning experiences, GenAI carries risks of manipulation and privacy issues for children.
Further risks are linked to GenAI systems that present biases and stereotypes, especially if their data reflects historical and systemic inequalities.
A JRC experiment found gender biases in AI models used for financial decision-making, with a gap of about 4% in favor of men.
Women are also at risk of facing inequality in hiring, as AI algorithms favor male candidates over equally qualified female candidates. (ANSA).
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In its first report on GenAI, the Joint Research Centre (JRC) analyses the technical and socio-economic impact of this disruptive technology, starting from the global competitive landscape, largely dominated by the United States and China.
The EU ranks third, contributing 7% of global GenAI activities – i.e. research, new patents, commercial operations and investments in the technology – compared to 60% for China and 12% for the US.
According to the researchers, Europe ranks second globally in GenAI research publications, producing 21% of the world’s articles, over 3,000 in 2023. However, patents filed in the EU represent only 2% of the global amount, highlighting the need for investment in innovative GenAI solutions. Furthermore, the experts note, European GenAI startups have difficulty accessing venture capital, with a significant funding gap compared to the US.
As for labor market dynamics, the report highlights how doctors, teachers, engineers and other highly skilled professions are impacted by GenAI more than previous technological innovations.
According to the researchers, teachers are more exposed to AI than 90% of other professions.
GenAI, the experts also point out, is also causing a change in the demand for skills, highlighting a greater need for transversal skills such as critical thinking, emotional intelligence and digital skills related to the development and maintenance of AI systems.
Among the sectors most affected by GenAI, healthcare stands out.
In this case, the new technology could help address the pressure of an aging population and labor shortages.
In the manufacturing sector, new business models inspired by generative AI are emerging.
For example, the new GenAI model, agent AI, enables the autonomous management of production activities, process automation, supply chain optimization, or waste reduction, leading to overall greater efficiency.
Finally, the report investigates the impact on demographic groups, differently affected by the use of GenAI.
Although the technology can be useful in learning experiences, GenAI carries risks of manipulation and privacy issues for children.
Further risks are linked to GenAI systems that present biases and stereotypes, especially if their data reflects historical and systemic inequalities.
A JRC experiment found gender biases in AI models used for financial decision-making, with a gap of about 4% in favor of men.
Women are also at risk of facing inequality in hiring, as AI algorithms favor male candidates over equally qualified female candidates. (ANSA).
Read article…
