AI Series #1 – AI regulation – The Underlying Principles
As AI becomes increasingly integrated into various aspects of daily life, the need for AI laws and regulations have increased. Recently, the European Parliament adopted the EU AI Act as the world’s first comprehensive law regulating AI.
The process of regulating AI however started much earlier when, in 2019, the OECD developed and adopted a set of principles to guide the regulation of AI. These principles provide a comprehensive framework for policymakers, industry stakeholders and researchers to navigate the complex landscape of AI governance. The principles are:
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Principle 1.1 |
Inclusive Growth, sustainable development and well – being Encourages the development of AI technologies that promote economic expansion, environmental sustainability, and societal welfare. |
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Principle 1.2 |
Human – Centred Values and Fairness Ensures that AI systems are designed and operated in a way that respects human rights and diversity, and promotes fairness and social justice. |
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Principle 1.3 |
Transparency and Explainability Advocates for AI systems that are transparent and understandable, enabling stakeholders to appreciate the technology’s capabilities and limitations. |
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Principle 1.4 |
Robustness, Security and Safety Calls for the creation of AI technologies that are reliable, secure from external threats, and safe for users. |
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Principle 1.5 |
Accountability Emphasizes the importance of establishing clear responsibilities for AI developers and operators to ensure accountability. |
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Principle 2.1 |
Investing in AI research and development Supports the advancement of AI through dedicated research and innovation. |
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Principle 2.2 |
Fostering a digital ecosystem for AI Aims to create a supportive environment for AI technologies to flourish. |
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Principle 2.3 |
Shaping an enabling policy environment for AI Encourages the development of policies that support AI innovation while addressing ethical and societal concerns. |
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Principle 2.4 |
Building human capacity and preparing for labour market transformation |
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Prepares the workforce for the changes AI will bring to the job market. |
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Principle 2.5 |
International co – operation for trustworthy AI Promotes collaboration across borders to ensure that AI development adheres to universally accepted ethical standards. |
Our technology law department provides a full range of services related to all aspects of technology and privacy laws and can assist the implementation of policies and procedures to regulate the implementation of AI. If you have any questions, get in touch with our team today.
These principles serve as a compass for industry stakeholders, guiding the development and deployment of AI technologies that align with societal values and expectations. The effectiveness of the principles however require that stakeholders and policymakers collaborate to translate the principles into concrete policies, regulations and practices that foster responsible AI innovation while safeguarding against potential risks.
In conclusion, as AI continues to develop and shape our world, establishing robust regulatory policies for the use and implementation of AI is paramount and is likely to soon be legislated in multiple jurisdictions.
In our upcoming AI series, we’ll delve into each of these principles in greater detail, providing insights and practical guidance for navigating the evolving landscape of AI regulation.
Contact us to explore how we can support your journey in AI innovation and compliance.