Francesco Morini的动态

Gen AI is fast-becoming a must-have technology for efficiency, but how does this prime businesses for sustainability? Thanks to the Sustainability Magazine for the opportunity to discuss how generative artificial intelligence (Gen AI) plays to our clients advantage as they aim to streamline their sustainability efforts. Our key discussion points: 1) Gen AI is a natural progression for companies leveraging digital technology, so it’s no surprise that we can gather insights from the leaders in this space and consulting organisations that help businesses expand their use of technology. 2) While AI is no instant solution to global problems, it simplifies the corporate approach, making the once burdensome sustainability agenda a more enriching feat.? 3) “Generative AI is a gamechanger for its unique ability to take vast quantities of data and turn it into real insights at rapid speed”.? This is where Gen AI is leveraged the most—undertaking the tasks that cost businesses time and money; manual applications of data that soak up human resources. Gen AI will be instrumental in reshaping this narrative.? 4) “Inadequate and manually processed data has long been recognised as a key barrier to effective sustainability strategies. Not only are companies faced with the enormous task of collecting all the necessary data across their functions and supply chains to accurately measure their impact, but this data is often heterogeneous and historic,". 5) According to IBM IBM Institute for Business Value research,?41% of executives?cite inadequate data as the top barrier holding back ESG progress. Organisations are abundant with data, which could present them with long-term insights from years of operation. This is likely where they will find traces of environmental impact, such as emissions, energy consumption, and other measurable units, allowing them to benchmark their sustainability against a history of commercial action. “Large Language Models (LLM) have revolutionised how we approach this, creating models that can analyse data in all its forms whilst factoring in real-life shifts such as weather patterns or market trends. These models can then be used to drive insights across a wealth of areas, such as minimising waste, reducing energy usage, and optimising production". https://lnkd.in/eUWdnNRg #genai #sustainability Harry Alverson Amber O'Neill Oday Abbosh Paul Roeseler Jasmin SkrandiesMatthew Candy Luca Lo Presti Reecha Goel Reena Vij Laurence Bernet-Garin Steven Kienhorst Mohamed Ayman Salamat Daniel S. E. Donya Hardan Kelly Hutton Georgios Chaloulos Jacob Dencik

Thank you Alyssa Lefaivre ?kopac and the Responsible AI Institute for the opportunity to share my perspectives with the authors of this new paper on #Sustainability and #AI. I welcome the optimistic take, though with some caution as both fields continue to find a balance between purpose and growth. LOTS more to come from this intersection. For those in my network working in sustainability and #impact, who aren't aware of the Responsible AI Institute, their work is grounded in the OECD - OCDE’s 5 Principles on #AI: https://lnkd.in/gEVz4SFP

According to the 2024 State of Corporate ESG, professionals expect to free up about 200 hours per year as a result of AI workflow support. Learn more about how professionals are using AI in ESG to make a difference: https://ow.ly/7Uq350U5nGt

?? Exciting to see National AI Centre releasing "AI and ESG: An Introductory Guide for ESG Practitioners"! https://lnkd.in/gHjZ6qng CSIRO's Data61 science work featured prominently, and it's fantastic to see our contributions expanded with even more practical examples and insights. ???? ?? 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 ?? It highlights our collaboration with Alphinity Investment Management, mapping ESG and RAI topics, questions, indicators, and metrics. ?? Check out our work: The Intersection of Responsible AI and ESG: A Framework for Investors. https://lnkd.in/gw9FFKJG ?? A shoutout to Prof Didar Zowghi, our Diversity & Inclusion in AI Lead, who was quoted explaining our guidelines for diversity and inclusion in AI—highly relevant to the social and governance dimensions of ESG. ?? https://lnkd.in/gKJqX4q7 ?? 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. ????? https://lnkd.in/g4fVm2RY For more details on our work, check these recent updates: 1. ?? Responsible AI Question Bank: A Comprehensive Tool for AI Risk Assessment https://lnkd.in/gsUKE__f 2. ?? Integrating ESG and AI: A Comprehensive Responsible AI Assessment Framework https://lnkd.in/eZEdRSV2 3. ?? 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. ?? 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/use case-specific guidelines and methods. If interested, reach out to me!

How #AI can enhance #ESG reporting by enabling the extraction of critical insights from ESG datasets. https://lnkd.in/effafPXZ

?? Exciting news! A recent ESG research study reveals critical gaps in responsible AI practices across industries. Find out more about the findings in our latest press release.

?? Exciting news! A recent ESG research study reveals critical gaps in responsible AI practices across industries. Find out more about the findings in our latest press release.

In today's business landscape, ESG considerations are paramount, but analysts face an overwhelming flood of data. Enter cutting-edge AI platforms, transforming how we approach ESG analysis. These advanced systems can process millions of unstructured documents, providing instant, contextual insights through AI agents. With temporal reasoning capabilities and complex comparative assessments, they're empowering analysts to make more informed, sustainable decisions. Plus, advanced RAG technology ensures all information is trustworthy and traceable. Curious about the future of ESG research/ Analysis? Dive into the full article to explore how AI is reshaping the field: https://lnkd.in/gd5pDCEF #ESG #Insights #AI #IntellectAI Hari Menon | Richard McGrail | Amrita Bhakta | Aditya Rajashekaran | SUBHAM SINGH

As Generative AI transforms governments & businesses, we must navigate judiciously to reduce potential negative environmental impacts. In this article with Government News, Kelly Brough, Managing Director Data and AI at Accenture Australia and NZ shares proactive steps for a sustainable AI future. Read more: https://accntu.re/3SsUVSq

?? Exciting news! A recent ESG research study reveals critical gaps in responsible AI practices across industries. Find out more about the findings in our latest press release.