Generative AI as an Enabler of Sustainability
Generative AI is not only an innovative technology for business efficiency but also represents an important enabler of sustainability. Thanks to its process optimization capabilities, AI can reduce the environmental impact of industrial activities and improve resource use. For example, in the manufacturing sector, generative AI enables the design of products that use materials more efficiently, reducing waste and the energy required for production.
In agriculture, generative AI can monitor data related to weather conditions and soil, helping farmers optimize the use of resources such as water and fertilizers, thus improving crop yields in a sustainable way. In the energy sector, AI can also play a key role in optimizing the distribution of resources, promoting the transition to renewable energy sources and reducing CO2 emissions.
Global Risks of Generative Artificial Intelligence
Despite its many advantages, generative AI also presents significant risks. One of the main concerns is the potential to create deepfakes and other fake content. Generative models can produce videos, images, and texts that are difficult to distinguish from reality, fueling the spread of misinformation. This phenomenon can have serious consequences, especially in the political and social spheres, where manipulation of information can influence public opinion.
Another risk is associated with mass automation, which could exacerbate economic inequalities. Unsupervised process automation could lead to job losses in certain sectors, creating a growing divide between those who possess the skills to work with AI and those who risk losing their jobs.
Furthermore, generative AI can also be exploited for malicious purposes, such as creating advanced cyberattacks. These tools can generate customized and sophisticated malware capable of evading traditional security systems.
Recommendations from the Observatory to “Shape the Future”
To address the risks and opportunities of generative AI, the Artificial Intelligence Observatory has provided a series of recommendations to ensure the ethical and sustainable development of these technologies. Among the key guidelines is the importance of training new skills, especially among young people, to prepare them for the jobs of the future. Investments in training and reskilling are crucial to avoid technology excluding parts of the workforce.
Another fundamental aspect is the need to develop clear and shared global regulations to prevent abuses and ensure that AI is used safely and responsibly. Finally, the Observatory emphasizes the importance of promoting a culture of transparency and sustainability in the development of AI solutions, ensuring that the benefits are distributed fairly and not concentrated in a few hands.
