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 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 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.

This tool outlines strategies for investors to assess technology companies’ responsibility to respect human rights. It includes questions addressing engagement on specific business model features that may create human rights risks and an evaluation framework to assess company responses.

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.

The European Commission's AI High-Level Expert Group has released their Ethics Guidelines for Trustworthy AI. The report provides a framework for creating lawful, ethical, and robust AI systems throughout the system's life cycle. The guidelines focus on respect for human autonomy, prevention of harm, fairness, and explicability.

This ICT sector-wide risk assessment examines potential impacts on the salient human rights issue of political participation. It presents international standards, discusses the use of ICT in politics, and offers human rights guidance for businesses to follow. Additionally, the report highlights risks and offers stakeholder-engagement suggestions and investor efforts to mitigate negative impacts.

This report provides an overview of the main human rights instruments and adverse impacts of the ICT sector in conflict-affected areas, emphasising its role in promoting security and other human rights while highlighting the potential risks of new technologies in this context. It also includes investor guidance to help evaluate if companies are meeting their human rights responsibilities.

This briefing explores the risks and opportunities Information and Communication Technologies (ICT) companies face in relation to children's rights. It highlights the importance of adhering to international standards and implementing internal policies and practices that prioritise the most severe impacts on children. Investors are encouraged to hold companies accountable.

This report contains a framework and case studies for digital safety risk assessment. The case studies cover topics such as trust and safety best practices, human rights due diligence, and child safety in gaming and immersive worlds.

This report offers a comprehensive guide for effectively managing risk in machine learning models. It presents a framework that enables data science and compliance teams to create better, more accurate, and more compliant models. The report stresses the importance of understanding the data used by models and implementing three lines of defence to assess and ensure their safety.