AI, an ally of sustainable development? Opportunities and challenges

Artificial intelligence (AI) is now positioning itself as an essential technology for the digital transformation of businesses. While the Big Tech giants (GAFAM) are investing massively to dominate this new technological era, AI is also seen as a promising tool for addressing sustainable development challenges. However, the environmental and ethical impacts of this technology raise major questions. 

Opportunities: AI in the service of sustainability

AI's ability to process huge volumes of data, optimize complex processes and support fast, effective decision-making makes it a potential ally of sustainable development. AI is already being used in several fields to help reduce greenhouse gas (GHG) emissions and optimize natural resources.

In industry, for example, AI algorithms help improve the energy efficiency of production lines. Giants such as Microsoft and Google have integrated AI systems to monitor the energy consumption of their data centers in real time, helping to limit their carbon footprint. However, challenges remain: according to Google, although AI is integrated into its systems, it has contributed to a 48% increase in the company's GHG emissions over the past five years.

AI can also play a key role in optimizing transport networks and managing energy flows. By facilitating the transition to renewable energy and improving the efficiency of smart grids, it enables more efficient use of available resources. In France, for example, large-scale data structuring made possible by AI could contribute to the emergence of smart, green innovations.

Challenges: the environmental impact of AI

Despite these potential benefits, however, AI is not without risks for the environment. One of the main challenges lies in the energy footprint of AI systems themselves. Training machine learning algorithms, especially those based on deep learning, is extremely energy-intensive. Each training process requires colossal amounts of computing power, often carried out in data centers whose electricity consumption is growing exponentially.

In addition, the growing use of natural resources to build the infrastructure AI requires is another source of concern. The extraction of metals such as copper, cobalt and nickel, which are essential for electronic circuits and batteries, raises questions about the sustainability of these resources. The steady decline in copper grades in ore deposits is putting increasing pressure on ecosystems, as ever more earth must be extracted to obtain the same amount of metal.

Finally, the rapid development of low Earth orbit satellite constellations, deployed to provide better global connectivity, illustrates the tension between technological progress and resource conservation. Although these satellites are necessary for certain AI applications, their production and maintenance come at a significant environmental cost.

Ethical issues: AI and sustainable development

Beyond environmental considerations, the ethical questions surrounding the use of AI in the context of sustainable development deserve particular attention. According to a report by the "AI for Sustainability" institute in collaboration with Forvis Mazars, 44% of European companies have not yet developed ethical guidelines for the use of AI. Yet concerns about transparency, algorithmic bias and data privacy are essential to ensuring the responsible use of this technology.

Companies must therefore develop governance practices that take into account not only the environmental impacts of AI, but also ethical considerations to prevent any misuse. Transparency in algorithmic decision-making, managing bias in AI models and protecting personal data are all challenges organizations must tackle to maximize the positive impact of AI while reducing its risks.

AI and sustainable development: what solutions for the future?

For AI to become a genuine driver of sustainable development, several actions are needed. First, it is crucial for governments and businesses to adopt measures to reduce AI's environmental footprint, by investing in energy-efficient technologies and developing methodologies to measure and assess AI's impact on the climate. The government can act as a facilitator by encouraging innovation while introducing regulations to ensure the ethical use of data.

In addition, collaboration between businesses, academic institutions and non-governmental organizations (NGOs) is essential to co-create sustainable solutions and foster the emergence of technology projects with a positive impact. Resilient co-design, a collaborative approach that brings different stakeholders together to develop environmentally friendly solutions, could be a model to follow.

Finally, future talent needs to be trained in the ethical and environmental implications of AI, in order to encourage more responsible use of this technology in the years ahead.

Conclusion

Artificial intelligence offers immense opportunities to support the ecological transition and achieve sustainable development goals. However, these promises can only be fulfilled if the environmental and ethical challenges inherent in this technology are fully taken into account. For businesses, this is a major strategic issue that must go hand in hand with a robust regulatory framework and strong ethical governance.

If you would like to find out more about how Leasetic can help you implement innovative, eco-responsible solutions, feel free to contact our experts. We help you reconcile economic performance with respect for the environment.