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 provides insight into the emerging responsible investment risks surrounding technology. The report covers four key areas of concern; bias and discrimination, manipulation and influencing behaviour, big tech and market dominance, and automation and the future of work, alongside case studies and recommended questions for asset owners.

Omidyar Network is a philanthropic investment firm that seeks to bring about social impact by supporting and investing in innovative initiatives. With a focus on areas like financial inclusion, education, and civic engagement, Omidyar Network works to create positive change globally through a combination of strategic grants and impact investments.

This paper explores practical research issues associated with accidents in machine learning and artificial intelligence (AI) systems, due to incorrect objectives, scalability, or choice of behaviour. The authors present five research problems in the field, suggesting ways to mitigate risks in modern machine learning systems.

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.

The adoption of AI has more than doubled, with a peak of 58% in past years. The report highlights the importance of best practices and investing in AI as it is shown to bring financial returns. However, the majority of organisations are not mitigating risks associated with AI despite increasing use.

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.