This report explores the potential of artificial intelligence and big holdings data for central banks. It highlights how asset demand systems and AI models improve policy decisions, optimise monetary interventions, and address financial risks. Applications include managing contagion, designing climate stress tests, and identifying crowded trades, enhancing economic resilience.

The report outlines four essential factors for improving impact measurement and management (IMM) in financial inclusion. These enablers—shared IMM understanding, addressing operational barriers, integrating outcomes into decision-making, and enhancing transparency—aim to align stakeholders across the investment chain to prioritise developmental and intermediate outcomes for inclusive, sustainable finance.

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 outlines a vision of interconnected financial ecosystems powered by digital innovation. By leveraging technologies like tokenisation and unified ledgers, it aims to create a user-centric, inclusive financial system that lowers costs, improves access, and increases efficiency globally.

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.

Ulula offers innovative solutions for responsible supply chains and worker engagement. Their platform provides real-time data collection and analysis to help organisations monitor human rights risks and ensure ethical sourcing. Ulula enables businesses to drive transparency, reduce modern slavery risks, and meet global sustainability and compliance standards effectively.

The report explores the transformative role of AI in the financial sector, focusing on financial intermediation, insurance, asset management, and payments. It highlights both opportunities and challenges, including implications for financial stability and the need for upgraded financial regulation to manage the risks associated with AI's growing influence.

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 toolkit aims to provide investors with guidance on how to navigate the intersecting terrain of AI and human rights. It covers the various aspects of AI implementation that have potentially significant implications for human rights, and how investors can engage with companies on these issues. Its focus is on emerging risks and opportunities for investors in the context of rapidly evolving technologies and the ethical challenges they pose.

This report explores the importance of stakeholder engagement for tech sector investors. It shows how engaging with affected stakeholders helps identify, assess, and mitigate human rights risks. It provides recommendations for investors to fund more rights-respecting companies.

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 report outlines global risks in 2024 and 2034, in an effort to provide insight to government and business leaders about the potential threats of the future. The report highlights potential global risks ranging from false information, economic uncertainty, climate change, AI dominance, to an increase in conflict and organised crimes.

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.

The report highlights how Australia can achieve innovation while upholding human rights. It offers recommendations on how to protect and promote human rights while responsibly using new technologies. The Commission consulted industry, government, civil society, academia, and leading experts worldwide, producing a template for further accountability and human rights protection.

This report examines risks and opportunities surrounding the development and scale-up of clean energy and technology supply chains through the lenses of energy security, resilience, and sustainability. It analyses critical questions around clean energy and technology supply chains and presents policy recommendations for governments, businesses, investors and citizens around the world.