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Call for inputs - Consultation on draft standards for Fairness Assessment and Rating of AI systems

Sudipto

@Sudipto

January 11, 2023

Public Policy

310

Artificial Intelligence (AI) is increasingly being used in all domains including telecommunication and related ICT for making decisions that may affect our day-to-day lives. One of the mandates of the National Digital Communications Policy, 2018 is to synergise deployment and adoption of AI.

On December 29, 2022, the technical arm of the Department of Telecommunications (DOT) the Telecommunication Engineering Centre (TeC) issued draft standard for assessing and rating Artificial Intelligence systems for fairness (copy attached). Earlier last year in 2022, with the aim to build public trust in AI/ML Systems, TEC initiated public consultations on a framework for Voluntary Fairness Assessment of AI/ ML Systems. TEC further organised online workshops and later constituted a Working Group of domain experts to draft a standard for assessing and rating AI systems for fairness.

The proposed standards framework is based on NITI’s broad ethical principles for design, development, and deployment of AI in India. The draft standard attempts to cover the following:

Types of AI/ML systems for which the proposed fairness measurement framework is applicable.
A combined fairness rating metric for AI/ML systems under the framework.
Framing Standard Operating Procedures (SOPs) for evaluating and rating AI systems for fairness. This would form part of the framework for AI assessment.

The standard’s end goal is to develop a set of SOPs that would be used to assess and arrive at fairness scores for different fairness metrics and a combined fairness score. The standard is intended to be used as a tool for validating the risks as part of self-assessment but can also be used as an assurance by a third party via an independent audit.

The consultation document states that the proposed framework of standards focuses on two impact groups: (a) direct implications caused due to citizens (or primary ‘affected stakeholders’) being subject to decisions of a specific AI system, and (b) indirect implications caused due to the overall deployment of AI solutions in society. Further, the framework is built on the Principles of Responsible AI laid out by NITI Aayog in India, specifically equality, inclusivity, and non-discrimination.

The document is divided into several chapters. Some of the important chapters are: (i) Use of the standard; (ii) Sources of Bias in AI systems and AI lifecycle; (iii) Overview of Fairness Metrics; (iv) Proposed Assessment Framework; and (v) Limitations and Scope.

As the public consultation is open till January 29, 2023, we request you to send us your feedback on the draft standards for Fairness Assessment and Rating of AI systems latest by January 22, 2023 to: sudipto@nasscom.in and varun@nasscom.in.

AI standards fairness rating fairness assessment TEC

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Sudipto

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