The report outlines a pattern-oriented engineering approach for responsible AI in financial services. It identifies challenges in scaling responsible AI, introduces a Responsible AI Pattern Catalogue for addressing lifecycle risks, and provides case studies on chatbot development. The study underscores governance, process, and product strategies to operationalise responsible AI principles effectively.

Published by Ceres, this is a first ever comprehensive resource to evaluate and act on water risks in investment portfolios. This how to guide includes links to resources, databases, case studies and other tools for all investors to use.

This tool measures the environmental impact of economic activity, company, or sector, to deliver a net contribution value on -100% to +100% scale, using physical data from across the value chain. It can be applied at company, portfolio, index, product/source levels. Includes qualitative and quantitative criteria on biodiversity.

Powered by data from Trase Earth, Forest IQ has been developed to support banks and investors assess and manage their exposure to deforestation risk. Forest IQ provides market leading data about corporate performance on deforestation impacts, land conversion, and natural ecosystem and human rights abuses. Trase Earth offers open source data that is free to download.

The hub hosts a collection of tools and guidance to help financial institutions harmonise environmental and social impact monitoring for sustainable land use finance.

EXIOBASE is a global, detailed Multi-Regional Environmentally Extended Supply-Use Table (MR-SUT) and Input-Output Table (MR-IOT). It was developed by harmonising and detailing supply-use tables for a large number of countries, estimating emissions and resource extractions by industry.

The report examines the impact of generative AI on American jobs, noting significant disruption in both cognitive and nonroutine tasks, particularly in middle- and high-wage sectors. It highlights the need for policies that engage workers in AI’s deployment, enhance worker rights, and ensure AI-driven advancements benefit workers while minimising risks.

This handbook provides a comprehensive overview of artificial intelligence (AI) and big data applications in investments. It covers topics such as machine learning, natural language processing, trading algorithms, and AI-driven customer service. Aimed at finance professionals, it offers insights into practical use cases, challenges, and evolving trends in AI adoption, making it a valuable resource for those navigating the integration of these technologies in investment strategies.

The report titled examines the role of financial influencers ("finfluencers") in shaping investment decisions, especially among Gen-Z investors. It highlights the regulatory challenges posed by finfluencers, explores their content's appeal to younger audiences, and provides recommendations for enhancing financial literacy and regulatory frameworks.

KnowTheChain’s benchmark evaluates corporate efforts to address forced labour in global supply chains. It assesses companies across sectors using indicators such as worker rights, transparency, and risk management. This tool helps finance professionals and investors identify risks and drive improvements in corporate labour practices, promoting ethical and responsible investment decisions.

The report explores the energy challenges posed by AI adoption, highlighting concerns among IT managers about increased energy consumption and uncertainty regarding its impact on sustainability. The research underscores the need for enhanced energy efficiency and green energy solutions to meet ESG goals without hindering AI deployment.

This guide provides essential guidelines for companies and investors to enhance human rights due diligence, particularly in supply chains. It emphasises transparency, risk assessment, and responsible purchasing practices to combat forced labour. The guide also offers practical examples and benchmarks, helping stakeholders align with global standards and improve corporate disclosures.

The Natural Capital Protocol provides a step-by-step guide for businesses to measure, value, and integrate natural capital into their operations. Divided into 9 stages, this comprehensive guide offers a practical approach to assess material risks and opportunities, communicate with stakeholders, and make informed decisions towards sustainable business practices.

This report provides actionable insights for investors exploring the integration of Responsible AI (RAI) in their investment decisions. It offers a framework to assess the environmental, social, and governance (ESG) implications of Artificial Intelligence (AI) usage by companies. The report includes case studies of globally listed companies and a set of templates to support investors in implementing the framework.

This benchmark report highlights the link between authentic sustainability and improved business outcomes in Australian organisations. The report introduces the Authenticity Index™, measuring commitments, culture, and communication, demonstrating that high-scoring businesses experience better talent acquisition, productivity, retention, innovation, resilience, and profitability.

This framework is a guide to promote safe, secure and transparent use of AI systems. The Framework provides four key functions – govern, map, measure and manage - with further categories and subcategories for risk management in AI systems.