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17 results

The intersection of Responsible AI and ESG: A framework for investors

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.
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Concrete problems in AI safety

25 July 2016
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.
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Toward a G20 framework for artificial intelligence in the workplace

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.
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Top 10 principles for ethical artificial intelligence

16 November 2017
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.
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The state of AI in 2022 - and a half decade in review

31 December 2022
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.
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The Japanese society for artificial intelligence ethical guidelines

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.
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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.
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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.
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Montreal declaration for a responsible development of artificial intelligence

10 July 2019
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.
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Investors' expectations on responsible artificial intelligence and data governance

25 April 2019
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.
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