International AI standards
What is International AI standards?
International AI standards are crucial for shaping the future of artificial intelligence in a way that promotes innovation while ensuring safety, fairness, and transparency. These standards are developed through collaborative efforts involving governments, industry experts, and organizations such as the International Organization for Standardization (ISO) and the Institute of Electrical and Electronics Engineers (IEEE). They cover a range of aspects from data privacy, algorithmic bias, interoperability, to ethical considerations. By adhering to these standards, AI developers and companies can ensure that their technologies are not only effective but also compliant with global norms, which helps in building public trust and facilitating international trade and cooperation in the AI sector.
Globally accepted guidelines and protocols established to ensure the development, deployment, and governance of artificial intelligence technologies in a consistent, safe, and ethical manner.
Examples
- ISO/IEC JTC 1/SC 42: This is a subcommittee of the International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC) focused on AI. They develop standards that address issues like AI terminology, ethical and societal concerns, and technical specifications.
- IEEE 7000 series: A set of standards developed by IEEE that focus on ethical and societal implications of AI systems. For example, IEEE 7010-2020 provides guidelines for assessing the impact of AI on human well-being.
Additional Information
- Adopting international AI standards can help companies avoid legal issues and gain a competitive edge by demonstrating their commitment to ethical practices.
- International AI standards are often updated to keep pace with technological advancements, ensuring that they remain relevant and effective.