AI + ESG: More Impact

πŸš€ Exciting to see NAIC releasing “AI and ESG: An Introductory Guide for ESG Practitioners”! https://lnkd.in/gHjZ6qng

CSIRO’s Data61 work featured prominently, and it’s fantastic to see our contributions expanded with even more practical examples and insights. πŸŒπŸ’‘

πŸ”Ή The report adopts the definition of Responsible AI from our book, Responsible AI: Best Practices for Creating Trustworthy AI Systems: “RAI is the practice of developing and using AI systems in a way that benefits individuals, groups, and wider society, while minimising the risk of negative consequences.” https://lnkd.in/gsQz5swy

πŸ”Ή It highlights our collaboration with Alphinity Investment Management, mapping ESG and RAI topics, questions, indicators, and metrics. πŸ“Š Check out our work: The Intersection of Responsible AI and ESG: A Framework for Investors. https://lnkd.in/gw9FFKJG

πŸ”Ή A shoutout to Prof Didar Zowghi, our Diversity & Inclusion in AI Lead, who was quoted explaining our guidelines for diversity and inclusion in AIβ€”highly relevant to the social and governance dimensions of ESG. πŸ™Œ https://lnkd.in/gKJqX4q7

πŸ”Ή The report also points to the newly launched AI Impact Navigator (developed with Data61’s contribution) for those keen on AI impact assessments beyond ESG. πŸ§‘β€πŸ—ΊοΈ https://lnkd.in/g4fVm2RY

For more details on our work, check these recent updates:

1. πŸ“Œ Responsible AI Question Bank: A Comprehensive Tool for AI Risk Assessment https://lnkd.in/gsUKE__f
2. πŸ“Œ Integrating ESG and AI: A Comprehensive Responsible AI Assessment Framework https://lnkd.in/eZEdRSV2
3. πŸ“Œ Achieving Responsible AI through ESG: Insights and Recommendations from Industry Engagement https://lnkd.in/gden3jBw

By the way, this work was featured at the UN’s Principles for Responsible Investment (PRI) Conference in Toronto earlier this month. Thanks to Jessica Cairns for presenting it. πŸ‘

We’re actively looking for industry partners adopting AI and investors keen to understand AI’s impact on investments. 🀝 Let’s collaborate to further refine the framework, co-design measurement methods, and create domain-specific guidelines. If interested, reach out to me!


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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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