Library | ESG issues
Technology & Online Harm
Technology & online harm refers to the risks and challenges linked to existing and emerging digital technologies such as AI, blockchain, and cryptocurrencies. While these innovations can enhance efficiency and productivity, they also introduce risks like fraud, misinformation, regulatory uncertainty, and ethical dilemmas, requiring careful oversight and responsible adoption.
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Blockchain for sustainability: A systematic literature review for policy impact
The report reviews blockchain's role in sustainability, analysing 10,188 studies. It highlights blockchain's potential in supply chain management, energy systems, and IoT-based solutions like smart cities. However, gaps persist in aligning blockchain applications with global ESG regulations and carbon trading mechanisms. Recommendations aim to improve blockchain's utility in achieving net-zero goals.
Responsible investment and blockchain
The report explores blockchain technology's relevance to responsible investment, highlighting its potential to enhance transparency, automate processes, and improve ESG data tracking. It discusses blockchain's implications for shareholder voting, decentralised systems, financial inclusivity, and sustainability. Practical challenges, including regulation, technical integration, and energy use, are also addressed. .
The financial stability implications of artificial intelligence
The report discusses the rapid adoption and integration of artificial intelligence (AI) in the financial sector, driven by advancements in technology and increasing operational efficiency. Key risks include dependencies on third-party providers, market correlations, and cyber vulnerabilities. Generative AI's accessibility could amplify systemic risks, necessitating enhanced regulatory frameworks, vigilant monitoring, and robust governance to ensure financial stability amid evolving AI technologies.
Developing responsible chatbots for financial services: A pattern-oriented responsible AI engineering approach
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.
Synthetic content: Exploring the risks, technical approaches, and regulatory responses
Generative AI enables the rapid creation of synthetic content, offering both opportunities and risks. This report examines challenges like disinformation and fraud, outlines technical and regulatory strategies, and explores trade-offs with privacy. Techniques discussed include watermarking, provenance tracking, and legal frameworks, aiming to enhance transparency while safeguarding privacy.
Artificial intelligence and big holdings data: Opportunities for central banks
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.
Investing for financial inclusion: Four enablers for outcomes measurement and management
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.
Generative AI, the American worker, and the future of work
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.
Handbook of artificial intelligence and big data applications in investments
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.
Finternet: the financial system for the future
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 finfluencer appeal: Investing in the age of social media
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
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.
Intelligent financial system: How AI is transforming finance
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.
Drivers of change: Meeting the energy and data demands of AI adoption in Australia and New Zealand
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.
Artificial intelligence and human rights investor toolkit
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.
Investing in stakeholder engagement for improved digital technologies
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.