How standards and assurance are making responsible AI achievable | Computer Weekly

While principles alone aren't enough, practical tools and standards are essential for organizations to effectively implement digital ethics in AI operations.

By utilizing concrete measures, such as ISO standards and assurance mechanisms, organizations can actually transform ethical aspirations into operational reality.

Model cards and system cards serve as critical tools that enhance transparency by documenting AI systems' capabilities and limitations, aiding organizations in understanding their AI operations.

The UK's AI regulatory approach, focused on core principles like safety and fairness, forms a necessary foundation, but success hinges on actionable standards and assurance mechanisms.

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