Integrating ESG and AI

You may have seen our ESG-AI framework for investors released a few months ago as a high-level report and associated question bank tools https://lnkd.in/gw9FFKJG

There’s a lot of additional science and detailed work behind it. For those interested in knowing more and contributing to advancing the science of measuring Responsible AI through the lens of ESG, we’ve posted our technical paper online. 📄🔍 https://lnkd.in/eZEdRSV2

CSIRO’s Data61‘s key focus is less about having the perfect high-level indicators or questions to ask, but more on ensuring the answers to these questions and the methods for deriving the numbers in the indicators and metrics are reliable, rooted in science, and top-down connected with actual engineering/governance practices. They should also be laterally connected with other key practice areas such as organisational resilience, privacy, and security, ensuring Responsible AI and ESG are not siloed. 🌐🔗

Check out our technical paper to dive deeper!


About Me

Research Director, CSIRO’s Data61
Conjoint Professor, CSE UNSW

For other roles, see LinkedIn & Professional activities.

If you’d like to invite me to give a talk, please see here & email liming.zhu@data61.csiro.au

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