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.

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 report documents the location of 96 digital technology industry clusters in Australia’s capital cities, regions, and suburbs. The report draws attention to the variables that affect industry growth and development, from company profit growth to housing affordability and quality of life.

This report explores technology tools available to human right defenders for collecting, managing, analysing, communicating and archiving data. HRDs should prioritise simplicity, familiarity, and ease of use when choosing a tool, and be mindful of potential security risks. Strategic partnerships and obtaining second opinions can also aid decision making.

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.