Generative Artificial Intelligence is redefining our socio-economic and technological landscape. A new report from the European Commission's Joint Research Centre (JRC), entitled “Generative AI Outlook Report: Exploring the Intersection of Technology, Society, and Policy“, offers a comprehensive analysis of this disruptive technology, emphasizing its implications for the European Union and, in particular, for the public sector.
What is Generative AI and why is it important?
Generative AI refers to a class of artificial intelligence capable of creating new content, such as text, images, video, music, or code, that is often virtually indistinguishable from content created by humans. This unprecedented capability opens the door to significant innovations in a variety of sectors, including health, education, science, and the creative industries. However, it also poses significant challenges, such as misinformation, bias, workplace disruption, and privacy concerns. The rapid evolution of generative AI requires a multidisciplinary approach to fully understand its implications and ensure responsible deployment.
Capabilities and limitations of generative AI
Generative AI capabilities are continuously evolving, with emerging trends such as AI Agents (autonomous systems that make decisions and learn from the results), Multimodal AI (integrating multiple data formats for more versatile applications), and Advanced AI Reasoning (improving decision-making through complex information analysis and logical inference). These advances have the potential to drive productivity and significantly improve decision-making across all sectors.
However, the adoption of Generative AI in the public sector is not without challenges. The report points out the need for effective governance and regulatory approaches to ensure safe, ethical and legal use. The transparència, accountability and oversight of AI systems are crucial to maintaining public trust and addressing potential biases.
Despite their potential, the report highlights the need for standardized assessment methodologies to fully understand the risks and limitations of models, especially in safety-critical areas. Humans play a crucial role in this assessment to ensure the reliability, explainability, and safety of AI systems.
It is essential to recognize that while generative AI can automate tasks and offer new capabilities, it is not a panacea for all problems. The technology, by its very nature, has inherent limitations. Organizations seeking to adopt generative AI should be aware that its capabilities are technical and process optimization in nature, but they do not replace the human capacity for genuine creativity, complex critical thinking that goes beyond statistical inference, or conflict resolution and consensus building, which require social and emotional skills that are essentially human and AI does not possess.
Opportunities for the public sector
Generative AI has immense potential to transform public sector management and service delivery. It can improve efficiency, transparència and the responsiveness of public services. AI-based solutions can optimize decision-making processes, improve citizen participation, and optimize resource allocation, resulting in better public services.
The report highlights that the integration of Generative AI can be a key driver for innovation and economic transformation across the EU, optimizing existing processes and creating new business models.
Concrete Cases and the Value of Generative AI in the Public Sector
The Public Sector Tech Watch has identified around 100 use cases for Generative AI in the public sector, with public administrations exploring its adoption in various application areas. The main applications are in public services and citizen participation (51 cases) and improving internal administrative efficiency (31 cases), followed by analysis, monitoring and regulatory research (16 cases).
A JRC study reveals that Generative AI is being used informally by public managers across the European Union. Around 30% of respondents already use it in their daily work, and a further 44% intend to adopt it soon. This adoption shows that these tools have entered the workplace, often before formal strategies or guidelines.
The use of generative AI for the analysis of satisfaction surveys
The AOC has been conducting satisfaction surveys among users of its services for over 9 years to collect their evaluation, detect the strengths of the services and areas for improvement. During this period we have collected more than 2 million surveys and 500.000 comments.
Only the 2024 237.742 surveys have been collected, with 51.573 qualitative comments that had to be analyzed, summarized and structured. For a few months, we have incorporated generative artificial intelligence (AI) to streamline this task. Until now, it was done manually, and only a sampling of the comments because we did not have the resources to analyze them all. Approximately, it took us 1 minute for every 5 comments: this means that if we analyzed all the comments (4300 on average), we would have dedicated more than 14 hours per month.
