When it comes to Technology and Trust, Intent Matters

Look around and you will see technology everywhere. From fashion to automotive, from buildings to cities. Experts from The Dow Chemical Company, Shell, Swiss Re, and Unilever, working with The Nature Conservancy and a resiliency expert, evaluated a number of business case studies, and developed a white paper with recommendations that green and hybrid infrastructure solutions should become part of the standard toolkit for modern engineers. This can be enabled via new age technologies that create, capture, monitor and measure energy, water and waste from the buildings.

Everyone needs data and the scalability of technology to solve some of the pressing sustainability challenges of today. While technology can enable and solve sustainability issues it can create new challenges. Responsibility therefore needs to play an important role in all aspects of the digital economy.

AI

Artificial intelligence based systems can help achieve lower emissions by can optimizing materials, energy and processes. At the same time AI can be a powerful ally for weather and natural catastrophe prediction, biomimicry or advanced materials and clean energy. AI can scale fast and get smarter over time. Hence, AI systems need to be empathetic, do what’s right and be inherently privacy first.

Roll out of automation.

Automation will replace many of the tasks that we have previously done, but it will also create new ones. Automation can however increase resource use and lead to excessive material extraction. It can also have an adverse effect on jobs. We therefore need to balance human rights, public safety and environmental sustainability

IOT

Increased tracking and monitoring, from the myriad of smart devices, wearables, sensors, meters is enabled via the Internet of Things (IOT). This can provide real time accountability around how companies behave with our water, forests, air, precious minerals, wildlife and oceans. To ensure our commons are protected we would need to define the relationship between the aggregators of data and the consumers of data.