AI for Greenwashing Detection
The rise of fake news in the Internet age has shown that society has few defence mechanisms to cope with misinformation as well as limited abilities to regulate its attention towards inaccurate or sometimes outright false claims, no matter the topic of such content.
Greenwashing is a broad umbrella term for different forms and practices of misleading communications of different organisations, in relation to their performance on environmental, as well as more broader SDG related indicators.
The different forms of greenwashing include, but are not limited to: selective
disclosure, symbolic management, deflection of public attention and the disconnect between claims of companies and their lobbying and investment activities. Greenwashing can range from slight exaggeration to full fabrication.
The most direct impact of greenwashing is that it hampers the accurate measurement as well as meaningful progress towards the Sustainable Development Goals. Both the EU Commission and the Irish Government have called for sustainable finance policy that discourages greenwashing, but
so far, there are no tools to detect the type and extent of greenwashing practices across different types of organisations and SDGs.
This webinar aims to introduce how greenwashing can be conceptualized as well as how machine learning and AI technologies can help detect instances of greenwashing.
Pat Cox, Chairman of Sustainable Nation Ireland and Former President of
Prof. Andreas Hoepner & Dr. Georgiana Ifrim, University College Dublin.
Dr. Michael Urban, University of Oxford.
Dr. Theodor Cojoianu, University College Dublin