Library | SDGs
GOAL 08: Decent Work and Economic Growth
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The implications of AI across sectors and against 6 key ESG considerations
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.
The geography of Australia’s digital industries: Digital technology industry clusters in Australia’s capital cities and regions
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.
Safety by design: Model clauses for due diligence arrangements and funding agreements
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.
Report of COMEST on robotics ethics
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.
Investors' expectations on responsible artificial intelligence and data governance
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.
Human rights risks in tech: Engaging and assessing human rights risks arising from technology company business models
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 artificial intelligence in finance: Risk considerations
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.
Engaging the ICT sector on human rights: Privacy and data protection
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.
Engaging the ICT sector on human rights: Freedom of opinion and expression
This report assesses freedom of opinion (FOE) and expression risks in the ICT sector. It identifies negative impacts and provides guidance for companies and investors on how to respect and promote FOE.
Engaging the ICT sector on human rights: Discrimination
This report examines the risks of discrimination in the Information and Communication Technologies sector and its impact on human rights. It provides company guidance on eliminating discrimination and promoting inclusion, as well as investor guidelines for holding companies accountable.
Engaging the ICT sector on human rights: Conflict and security
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.
Engaging the ICT sector on human rights: Child rights
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.
Dutch pension funds agreement on responsible investment
The Dutch Pension Funds Agreement on Responsible Investment outlines the policies and procedures needed for pension funds to prevent, mitigate, and remediate against negative social and environmental consequences of investments. The agreement promotes long-term shareholder engagement and encourages due diligence in outsourcing, reporting, and transparency.
Digital safety risk assessment in action: A framework and bank of case studies
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.
Beyond explainability: A practical guide to managing risk in machine learning models
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.
AI policy principles
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.