Artificially intelligent systems could be used for data processing to tackle issues on sustainability, both in terms of natural resource protection and improvement of industrial and agricultural practices.
Technology companies are finding ways to combine the analytical abilities of AI to understand how to enhance their sustainability practices regarding natural systems such as water, forests, transportation, and even wildlife. In combination with precision tools such as satellites and sensors, these programs can analyze all collected data and propose ways humans could actively identify and make decisions regarding a diverse number of issues, including suspicious marine traffic, illegal agricultural practices, and other harmful environmental behaviors.
Instead of working as a single application solely reserved for companies, this technology has the potential to function as a collective monitoring platform for social and environmental impact by tackling global environmental challenges. For that, AI initiatives are creating open-source tools and APIs to provide models and the base infrastructure for enterprises that want to make their businesses greener and hold themselves more accountable.
It could help the transportation industry elevate their practices by being accountable and making sure the entire fleet is within the low-impact and low-emissions standards. Growing deployment and applications of this technology across different economic and social sectors have the potential to elevate the intelligence with which we manage water resources, understand and deal with varying aspects of pollution across the globe, and integrate different actors for more sustainable practices.
As for wildlife, AI could help save the remaining animal species from extinction by using advanced cloud software to identify these animals and with the help of deep learning algorithms, monitor programs that can keep an eye on these populations. Also, this technology would support scientists working on wildlife surveys by increasing the efficiency of their tasks. In the case of agriculture, this software could work in conjunction with monitoring systems that could help develop more precise agricultural strategies while providing farming practices with accountability standards.
Considering that all of these tools are available for free, governments and small initiatives could take advantage of this software as a means to pursue accountability and how their practices fit into global objectives in terms of sustainability and global warming. In combination with other technologies and systems such as blockchain and the internet of things, these initiatives could spread in smart cities and add a new layer of sustainable accountability to urban spaces too. Finally, this technology might be able to analyze entire industrial segments, making it easier to create a future of industrial ecology and foster more circular economic practices. This could help companies be viewed as more trustworthy in the eyes of consumers.
Autonomous Sustainability Monitoring
Artificial Intelligence (AI)