Artificial Intelligence (AI) is hot, sexy even. Sustainability, by contrast, can come across as rather book smart and earnest. Nevertheless, like the odd couple of tech for good, AI and sustainability are increasingly being seen together in public.

From precision agriculture to environmental monitoring or supply chains to energy grids, the two of them are clearly in a relationship. It is complicated, however. On the one hand, AI supports and boosts sustainability; on the other, sustainability can be seen as a concern and even a liability for AI. So, are they the perfect match? There are arguments both for and against.

FOR AI and sustainability

Applications abound for sustainable AI and machine-learning. FarmGrow, for example, is a social enterprise established by the Rainforest Alliance and Grameen Foundation to support farmers in major cocoa-producing areas of the world. It coaches them in optimising yields without negative environmental effects.

Using Satelligence to combine satellite imagery and AI, FarmGrow employs remote-sensing technologies to track production and receive alerts about sustainability risks such as deforestation.

At the other end of the food cycle is Karma, a food-waste app endorsed by President Obama, also underpinned by AI. Karma enables restaurants and supermarkets to list food that would otherwise be thrown away and sell it to the public at a discount. To date, the business has raised $16.7 million, rescued 900 tonnes of food, saved two million meals and cut 1,300 tonnes of CO2.

Working with bytes of a different kind, London-based iSize Technologies specialises in deep-learning for sustainable video delivery. Ideal for data-intensive streaming services, its AI precoder software significantly reduces bitrate with no loss of visual quality, but up to a four-fold reduction in energy.

For the first time, we are talking openly about unconscious biases and how to handle them, so we don’t discriminate

Putting such AI and sustainability benefits into perspective, the latest year-on-year figures show Netflix subscriber numbers grew 20 per cent in 2019, yet its energy consumption rocketed 84 per cent, amounting to enough to power 40,000 US homes. This, though, is the world of technology and tech does not stand still.

In logistics, the focus is evolving with the core technology itself, towards a fusion of the internet of things (IoT) and AI, known as AIoT, says chief architect at Mindtree Rajamani Saravanan. “The original purpose may have been early prediction of faults or optimising usage patterns, but the large volume of data now available has opened up new avenues of exploration,” he says. “AI has essentially enabled the creation of energy-efficient freight systems, while in pursuit of greater supply chain orchestration.”

Not all positive impacts of sustainable AI are environmental, though. There are societal benefits, too. Since it is easier to criticise and alter a machine than ourselves, algorithms and AI can help make us more conscious of our own biases, says Diana Xhumari, chief executive of digital transformation company Tegeria.

“Distancing ourselves from the decision-making process is making us more logical and fair,” she says. “For the first time, we are talking openly about unconscious biases and how to handle them, so we don’t discriminate against anyone, either through technology or human interaction, especially in the workplace.”

Read the rest of Jim MacClelland’s article at Raconteur