This article evaluates the relevance of key environmental, social, and governance (ESG) issues and the importance of their pillars regarding risk and return using a comprehensive analysis of market performance. It additionally compares the weighting and performance of each pillar and key ESG issues.

This research paper evaluates the effectiveness of a well-being framework developed to assess alternative future development scenarios for the Martuwarra (Fitzroy River) in Western Australia. The framework was culturally sensitive and assisted a multicultural group in assessing scenarios. The study concludes that a well-being framework can support structured and transparent communication between culturally diverse groups.

This report discusses the flawed theoretical pillars of mainstream economics that support unsustainable environmental, social, and economic outcomes. The paper identifies paradoxes and delusions in theories related to efficiency, wealth, well-being, and economic growth. It argues that adopting a new approach that prioritises well-being can help overcome these challenges.

This discussion draft proposes a list of "signals of seriousness" that could inform administrative assessments of companies' HRDD efforts under potential EU legislation. The document provides comprehensive guidance on human rights and environmental due diligence and highlights key features of HRDD practices, offering critical insights to regulators seeking to enforce the proposed legislation.

Explore Luxembourg's Ministry of Finance at https://mfin.gouvernement.lu/en.html, a central authority overseeing financial policies. With a focus on economic stability and fiscal responsibility, the ministry plays a crucial role in shaping Luxembourg's financial landscape.

The Financial Stability Board (FSB) is an international body that monitors and makes recommendations about the global financial system. Explore FSB's reports, guidelines, and initiatives, contributing to the resilience and sustainability of the international financial system.

This report advocates for creating a high-level, G20 framework using a set of principles for the introduction and management of big data and AI in the workplace. The paper identifies main issues and suggests two paths towards adoption.

This report reveals that Australian organisations lack structured governance around AI systems. Corporate leaders should invest in expertise, create a comprehensive AI strategy, implement addressing risks and support a human-centered culture. The appropriate governance of AI systems is critical for corporate leaders to mitigate risks.

AI offers great positive impacts and risks. This report helps to understand the risks associated with developing and using AI tech. Scoping exercise identifies opportunities and threats across sectors. Six core ESG considerations including trust and security, data privacy, and sentience are evaluated for potential impact.

This report examines the impact of digital technology and artificial intelligence on human rights in Europe and Central Asia, with a particular focus on the use of data protection and legislative frameworks. It provides an overview of the relevant international and regional initiatives, and analyses the applicable legal, regulatory, and institutional frameworks.

This analytical essay outlines an agenda for research into the global governance of artificial intelligence (AI). It distinguishes between empirical research, aimed at mapping and explaining global AI governance, and normative research, aimed at developing and applying standards for appropriate global AI governance.

This statement from the European Group on Ethics in Science and New Technologies emphasises the need for a shared international ethical and legal framework for the design and governance of artificial intelligence, robotics, and 'autonomous' systems. It also proposes ethical principles based on EU values to guide the framework's development.

This briefing highlights the potential human rights impact of technological advancements and the responsibility of institutional investors to mitigate these risks. Based on the UN Guiding Principles, investors should implement human rights policies, assess risks and divest from companies with inadequate human rights practices.

This report outlines a framework for responsible development of artificial intelligence. It provides principles that should guide ethical use of AI for the well-being of sentient beings, respect for autonomy, protection of privacy and intimacy, solidarity, democratic participation, equity, diversity inclusion, caution, responsibility, and sustainable development.

This report outlines responsible AI and data governance principles and engagement framework for investors across multiple sectors. The six core principles aim to enhance machine learning, auditability, explainability, and transparency, while taking into account legal, regulatory, ethical, and reputational risks.

Generative AI is a subset of AI/ML that creates new content. It offers enhancements to efficiency and customer experience, as well as advantages to risk management and compliance reporting. However, the deployment of GenAI in the financial sector requires the industry to recognise and mitigate the technology's risks comprehensively; financial institutions must strengthen their cybersecurity and regulatory oversight capacities.