6 papers
The AI Regulatory Readiness Index ARRI: Assessing Cross-Jurisdictional Legal Preparedness for AI in Telecommunications
Avinash Agarwal, Peeyush Agarwal, Manisha J. Nene
As Artificial Intelligence becomes increasingly embedded in critical telecommunications infrastructure, existing legal frameworks remain ill-equipped to address the distinct risks…
Incorporating AI incident reporting into telecommunications law and policy: Insights from India
Avinash Agarwal, Manisha J. Nene
The integration of artificial intelligence (AI) into telecommunications infrastructure introduces novel risks, such as algorithmic bias and unpredictable system behavior, that fall…
A five-layer framework for AI governance: integrating regulation, standards, and certification
Avinash Agarwal, Manisha J. Nene
Purpose: The governance of artificial iintelligence (AI) systems requires a structured approach that connects high-level regulatory principles with practical implementation. Existi…
Enhancements for Developing a Comprehensive AI Fairness Assessment Standard
Avinash Agarwal, Mayashankar Kumar, Manisha J. Nene
As AI systems increasingly influence critical sectors like telecommunications, finance, healthcare, and public services, ensuring fairness in decision-making is essential to preven…
Standardised schema and taxonomy for AI incident databases in critical digital infrastructure
Avinash Agarwal, Manisha J. Nene
The rapid deployment of Artificial Intelligence (AI) in critical digital infrastructure introduces significant risks, necessitating a robust framework for systematically collecting…
Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting
Avinash Agarwal, Manisha J Nene
The increasing use of AI technologies has led to increasing AI incidents, posing risks and causing harm to individuals, organizations, and society. This study recognizes and addres…