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OECD Framework to augment National AI Strategies

OECD, the policy observatory, has developed a new framework to classify AI systems for augmenting AI strategies.

The Organization for Economic Co-operation and Development (OECD) has created a user-friendly tool or framework to analyze AI systems from a policymaking viewpoint. This framework assists lawmakers, regulators, organization policymakers, and others in characterizing the policies of AI systems deployed in specific sectors. The OECD framework also assists professionals in assessing the potential and risks present in various types of AI systems, as well as informing national AI plans and strategies.

In addition, the OECD framework helps policymakers distinguish between various types of AI systems and all the possible influences that AI has on people’s lives, whether positive or negative. This not only includes what AI systems are capable of but also where and how they implement it. For example, image recognition can be highly useful for smartphone security, but when used in other situations, it might be violating human rights.

The OECD policy classification framework differentiates AI systems based on the dimensions, such as People & Planet, Economic Context, AI Model, Data & Input, and Task & Output. Each dimension has its own set of characteristics and traits that helps in evaluating the policy implications of specific AI systems.

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The respective framework works by referring to the AI system’s lifecycle as a supplemental structure for understanding the primary technical properties of the respective system. Furthermore, by defining the qualities and characteristics of AI systems that matter the most, the OECD framework promotes a common understanding of AI and its effective usage across the organization. 

According to the OECD’s announcement, the current framework is meant to provide the basis for developing a future risk-assessment framework to help with diminishing and mitigating risks. It will also provide a baseline for the OECD, Members and partner organizations to develop a common framework for reporting about AI incidents.

After the successful deployment of the OECD framework across different organizations, it is expected that the respective classification tool assists in generating more data about the various types of AI systems currently in use around the world. This provides policymakers with the information they need to map the most impactful AI domain and trace interventions that make AI more favorable across the globe.

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Ishwarya M
Ishwarya M
Tech Content Writer | Engineer | Stargazer | Astrophile

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