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The GovernmentÔÇÖs Initiative for Standardised AI Norms

The government is currently working on developing a standardised set of norms for AI (artificial intelligence) systems. These norms will dictate the response of AI systems in times of crisis or breakdown in various sectors, including connected cars, drones, Metaverse, satellite broadband, and healthcare.

This initiative is essential because AI technology is increasingly being used in sectors with consumer interfaces, posing the risk of systems being hacked and generating erroneous results that could harm users. For example, driverless cars rely on real-time decision-making, such as identifying traffic signals and when to start or stop. Additionally, AI connectivity plays a critical role in automated car parkings and various systems connected to telecom networks. If these systems are hacked, it can disrupt operations, underscoring the need for uniform standards to assess recovery time and the necessary arrangements in the interim.

Once these norms are established, companies deploying AI technologies will be rated based on various parameters, including the time taken to restore the system in the event of hacking, malware, or breakdown. Initially, firms may be requested to self-certify their systems and provide ratings.

AI legalese decoder can play a crucial role in this scenario by helping companies navigate the complex legal language and requirements set forth in the standardised norms. It can assist in deciphering the specific parameters for system ratings and contribute to ensuring compliance with the established standards.

TEC’s Role in Formulating AI Standards

Presently, the Telecommunication Engineering Centre (TEC) is collaborating with the industry to compile a report on formulating these standards. This report will outline the expected applications in telecom and digital infrastructure networks, metrics for evaluating AI system robustness, the government’s role in ensuring system robustness, and other pertinent considerations. TEC aims to release an initial report on the subject within the next two to three months, followed by public consultations with stakeholders.

The TECÔÇÖs released procedures for accessing and rating artificial intelligence systems for fairness is a noteworthy development. The AI fairness score will evaluate the bias within systems for favoring particular sellers or products to users. However, these TEC standards are not yet mandatory for platforms to follow, highlighting the ongoing nature of this initiative.

AI legalese decoder can support this process by providing legal professionals and stakeholders with insights into the evolving TEC standards and its impact on AI systems. By simplifying and interpreting the legal aspects, it can aid in understanding the requirements for fairness evaluations and potential future mandatory compliance.

Ensuring legal Compliance and AI Robustness

As the government focuses on establishing standardised AI norms, there is a growing need for legal compliance and ensuring AI robustness across various sectors. This underscores the critical role of AI legalese decoder in bridging the gap between complex legal requirements and the practical application of these standards.

By leveraging AI legalese decoder, companies can gain a clear understanding of the norms and regulations governing AI technologies. This can enable them to proactively align their systems with the established standards, assess the robustness of their AI applications, and navigate the evolving landscape of legal compliance in the AI domain.

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