Co-funded by the European Union

New publications from OECD and IOE on Artificial Intelligence

  • On 3 May 2024, the OECD Ministerial Council Meeting adopted revisions to the OECD Principles on Artificial Intelligence (AI), addressing emerging challenges from general-purpose and generative AI.
  • These revisions respond to recent technological advancements and address challenges related to privacy, intellectual property rights, safety, and information integrity.
  • International Organisation of Employers recently published a policy review providing employers’ organsations with guidelines on issues to assess when integrating this technology into business operations.

With 47 adherents, including the European Union, the OECD AI Principles serve as a global blueprint for  policy frameworks. These Principles guide policymakers in managing AI risks and shaping policies that foster interoperable governance and cooperation across jurisdictions.

The 2024 revisions ensure that these Principles remain robust and relevant in the face of rapid AI advancements, focusing on safety concerns, transparency, responsible business conduct, and environmental sustainability.

They also stress the importance of addressing misinformation and safeguarding information integrity, especially in the context of generative AI.

Critical elements of the updated Principles:

-       Safety and Security: They emphasise the need for robust mechanisms to manage AI systems that could cause harm or exhibit undesired behaviour. These systems must be capable of being overridden, repaired, or safely decommissioned.

-      Information Integrity: Addressing the growing issue of misinformation and disinformation, the Principles call for safeguarding information integrity, particularly in generative AI.

-       Responsible Business Conduct: They underscore the importance of responsible conduct throughout the AI lifecycle. This involves cooperation with AI knowledge and resource suppliers, system users, and other stakeholders to manage risks and ensure ethical practices.

-       Transparency and Disclosure: They clarify the information required for transparency and responsible disclosure about AI systems. This ensures stakeholders understand AI systems’ capabilities, limitations, and decision-making processes.

-       Environmental Sustainability: Recognising the increasing importance of sustainability, they now explicitly reference environmental concerns, ensuring that AI development aligns with global sustainability goals.

-       Interoperable Governance: The need for jurisdictions to work together to promote interoperable governance and policy environments for AI is emphasised. This is crucial given the surge in AI policy initiatives worldwide.

For employers, staying informed about these Principles and integrating them into their AI strategies is essential to navigate the evolving AI landscape and leverage its potential for growth and innovation.

In addition, IOE’s recent publication, The Impact of AI on Work and Employment, looks at the implications of AI integration into the workplace.  The IOE report outlines crucial strategies for facilitating workforce transitions, with an emphasis on deploying social dialogue – employers, governments and workers – as the most viable strategy to determine the policy path for AI adoption throughout the business landscape.