AI without guardrails a ‘risk’ for ecosystem development: BSNL CMD

AI without guardrails a ‘risk’ for ecosystem development: BSNL CMD - ET Telecom

Robert J Ravi, CMD of BSNL and MTNL, emphasizes that developing an artificial intelligence ecosystem without robust safety guardrails poses significant risks to its growth and integrity. He argues that a transparent, fair, and accountable framework is essential to ensure the technology’s sustainable expansion. Without proper safeguards, the potential for harm to the broader digital ecosystem cannot be mitigated, making the establishment of protective measures a critical priority for industry stakeholders and policymakers alike. The proposed solution involves creating a common AI stack structured across various sectors to ensure data protection and ethical compliance. This framework would incorporate open algorithmic standards, data minimization, privacy protocols, and auditing mechanisms to foster trustworthiness. By standardizing these governance elements, India aims to create an enabling environment that protects users, businesses, and governments. This approach seeks to lead global efforts in setting standards that balance innovation with rigorous safety and ethical considerations. This discourse is highly relevant to open data because the proposed AI stack relies on standardized, open algorithmic frameworks and defined data structures. Effective open data practices are foundational to the data federation and minimization strategies required for a secure AI ecosystem. Furthermore, the push for transparent and accountable AI directly impacts how open datasets are curated and shared, ensuring they support unbiased, reliable outcomes. Establishing these open standards facilitates international cooperation and interoperability, crucial for the global digital future.

Source: telecom.economictimes.indiatimes.com
Published on 2024-10-15

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