This report provides 10 principles for ethical artificial intelligence. From transparency in decision-making to ensuring a just transition and support for fundamental freedoms and rights, the report aims to empower workers and maintain a healthy balance of power in the workplace.

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.

The Japanese Society for Artificial Intelligence has released ethical guidelines that aims to protect basic human rights and promote the peace, welfare, and public interest of humanity. The eight guidelines include: contributing to humanity, abiding by laws and regulations, respecting others' privacy, being fair, maintaining security, acting with integrity, being accountable and socially responsible, and communicating with society and self-development.

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.

This document provides model clauses for due diligence arrangements and funding agreements related to eSafety for startups. It includes pre-conditions for funding agreements, covering policies, staffing, training, and external communication. Additionally, the document urges startups to complete the eSafety assessment tool and implement safety by design measures.

This investment checklist is a concise guidance document, aimed at investors and venture capitalists considering whether to invest in tech companies. The checklist presents a 12-point criteria touching on design and provision of services, community guidance, safety reviews, user tools, and proactive steps to inform users about safety policies.

COMEST has released a report on robotics ethics which covers the history, development, and social impact of robots. It also offers recommendations for the ethical use of robotics.

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.