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.

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 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.

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 report is a call-to-action for technologists to align creation of autonomous and intelligent systems to defined values and ethical principles prioritising human well-being. Emphasising the importance of embedding values and morals into these systems, it discusses a range of topics, including job automation, personal data protection, A/IS education, law, and more.

This report provides sector-wide risk assessment on privacy and data protection in the Information and Communications Technology (ICT) industry. It includes international standards and salient issues to consider when engaging with ICT companies, the "business case" for privacy and data protection, and investor guidance for engaging ICT companies.

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 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.

This report outlines the responsibility of industry and governments in promoting responsible development and use of artificial intelligence. The policy principles focus on the integration of principles into the design of AI technologies, investment in AI research and development, and collaboration through public-private partnerships.

The EU Commission has published a regulation that establishes harmonized rules on artificial intelligence (AI) while amending certain union laws. Stakeholders mostly agree on the need for action in the field of AI, but warn the Commission to avoid duplication and overregulation. The regulation will require an appropriate level of human and financial resources.

Demonstrates empirical evidence of varied climate change impacts and their effects on workers and organisations across a range of industries, working mostly in Victoria. Workers are being affected in many compounding ways. With climate change impacts continuing to worsen, workers and industry must be supported to adapt to climate change.

This research explores the impact of environmental, social, and governance (ESG) factors on investment returns, focusing on ESG Tilt and ESG Momentum strategies. The study reveals that both strategies outperformed the global benchmark, providing empirical evidence that ESG factors can enhance portfolio performance.

This report delves into the potential of pension funds in driving climate solutions in developing economies. Highlighting barriers like geopolitical risks and policy uncertainties, the report underscores collaboration, ESG standards, and internal expertise as pivotal for sustainable investments in these regions.

The article asserts that building energy codes must be derived from global climate change targets. Thus, an innovate global Building Stock Energy Model is developed to determine the required energy efficiency levels for building stocks of 138 countries in alignment with the Paris Agreement’s below 2°C climate change scenario.