Executive summary promoting projects at the crossroads Dissemination of Ecological Data of life sciences and ecology, climate The development of green AI is only and weather research. feasible if ecological data can be Consumers must also play a part in open. So it is vital to make currently making these technologies greener. available public data open to all, both Our task force therefore proposes the researchers and European companies creation of a platform devoted to alike, out to 2019 in order to develop assessing the environmental impact of AI solutions to promote ecological smart digital solutions. This platform transition i.e. data on weather, should also include a simple calculator agriculture, transport, energy, to enable all citizens to gain greater biodiversity, climate, waste, land awareness of these impacts and registry and energy performance compare the environmental footprint assessments. Access to more sensitive of the various products, services, data could be managed on the basis software and hardware. of more specific situations, e.g. to Fostering Greener AI address sector challenges. It is also important to open privately-owned It is also important to tackle data where necessary. breakthrough innovation in the semiconductor sector, one of the physical building blocks of AI. In this Part 5 — respect, neuromorphic4 technology Ethical Considerations can allow for considerable energy savings, and France is already a of AI pioneer in this area. Public authorities must also act to make the value chain greener and Recent AI-led progress across a support the European cloud industry number of sectors (self-driving cars, to promote its ecological transition. image recognition, virtual assistants) Some market participants already and its increasing influence on our provide excellent examples of energy lives are driving public debate on the optimization and these best practices issue. This debate included extensive now need to be extended to the analysis of the ethical challenges entire sector. A certification process raised by the development of artificial could also be set up to reward the intelligence technologies and more most outstanding solutions. broadly speaking by algorithms. Far Lastly, making the AI value chain from the speculative considerations greener will clearly require open on the existential threats of AI for hardware and open software, which humanity, the debate seems to focus are not only a confidence indicator on algorithms that are already present but can also lead to significant energy in our daily lives and that can have a savings and provide inspiration for major impact on our day-to-day initiatives currently underway in existence. Europe. If we want to develop AI technologies that comply with our values and social 4. Neuromorphic chips are based on the workings of the human brain.