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News

Permutable announces pre-launch of new AI tool to identify greenwashing and call for pilot users

by Binary News NetworkDecember 9, 20220330
Award-winning AI start-up announces prelaunch of new AI tool to identify greenwashing by companies

London – 8th December, 2022 – Permutable AI, an award-winning AI start up has announced the pre-launch of their new AI tool to identify company greenwashing and a call for pilot testers of the new technology. The greenwashing identification tool has been developed by Permutable’s product and data team with an aim of holding companies accountable and providing transparency concerning their sustainability claims and reported actions. Enabling users to search through 20,000 companies, the platform gives access to unparalleled and highly granular greenwashing data and insights.

How it works

Permutable uses cutting-edge machine-learning techniques enabling a highly trained and rigorously tested AI to  review each and every company’s history of carbon pledges. This is then examined in detail to determine whether there is evidence that these pledges are supported by sufficient actioned projects or initiatives. It also looks for excessive use of greenwashing language in corporate literature – for example, in company and brand websites or literature as well as on marketing and publicity messaging and activity.

The data is then presented as follows:

 

Greenwashing identification

• Summary statistics of emission pledge and project announcements. Examples include the number of net-zero announcements, future project announcements, past project announcements, total number of project announcements

• Monthly aggregates of announcements for emission pledges and projects

• Emission reduction pledges and their deadlines

• Project announcements with project deadline dates

Emissions breakdown

• Summary statistics of emission pledge announcements

• Interactive plot of net-zero and carbon-neutral target announcements over time


• Pie charts of count of pledge announcements per greenhouse gas emission type and count of pledge announcements per emission scope type

• Interactive plot of emission reduction pledge instances against deadline and specific announcements 

• Word map of organisations mentioned in announcements, filtered by selected entities

Project breakdown

• Interactive pie charts of project by scope and type

• Interactive plot of project announcement instances across time by deadline and by planned quantity of emissions to be extracted, filtered by type of project

Geospatial analysis

• World map showing count of projects/emissions by country

• World map showing breakdown of project/emission announcements by scope for each country.


Wilson Chan, CEO and Founder of Permutable said, “An increasing number of companies are being called out for greenwashing. However this is just the tip of the iceberg. What is needed is easily accessible and complete transparency, so that greenwashing can be spotted and acted on quickly. At Permutable, we are keenly aware of the negative effects of greenwashing in achieving climate change targets. Our new greenwashing identification tool now makes it infinitely harder for companies to get away with greenwashing, by making their pledges and actions much clearer. We hope that this will help us all move forward in an open and honest fashion. enabling us to tackle the common goal of reducing carbon emissions, damage to our planet and to our shared future.”

 Register your interest or sign up to be a pilot user here.

For further information, interviews or images please contact Talya Stone on [email protected], +44 7594 948184.


Media Contact
Company Name: Permutable AI
Contact Person: Talya Stone
Email: Send Email
Phone: 07593948184
Country: United Kingdom
Website: https://www.permutable.ai

Information contained on this page is provided by an independent third-party content provider. Binary News Network and this site make no warranties or representations in connection therewith. If you are affiliated with this page and would like it removed please contact [email protected]

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