From Principles to Practice: An Accountability Metrics Catalogue for Managing AI Risks

Apr 30, 2024 6:33:00 AM by Dendrex

The paper: http://arxiv.org/abs/2311.13158

## Purpose
This paper addresses the challenges of accountability in Artificial Intelligence (AI), specifically in GenAI systems. It emphasizes the necessity of transparent, auditable decision-making and proposes a comprehensive metrics catalogue to operationalize accountability in AI. This catalogue is designed to ensure procedural integrity, provide necessary tools and frameworks, and reflect the outputs of AI systems.

## Methods
- Systematic Multivocal Literature Review (MLR) combining Systematic Literature Review (SLR) and Grey Literature Review (GLR).
- Development of a metrics catalogue focusing on process, resource, and product metrics.
- Deductive and emergent thematic coding to identify key process metrics and sub-criteria.
- Categorization of metrics into Responsibility, Auditability, and Redressability.

## Key Findings
1. Identification of three interconnected facets of accountability: Responsibility, Auditability, and Redressability.
2. Development of a process-centric metrics catalogue tailored for GenAI.
3. The proposed catalogue includes metrics for roles and responsibilities, AI governance, and organizational risk tolerance.
4. Emphasis on the importance of RAI training, data provenance, and model provenance in AI accountability.
5. Highlighting the necessity for systematic oversight through auditing and incident response mechanisms.

## Discussion
This research provides a structured approach to instilling accountability in AI systems, crucial for maintaining public trust and meeting regulatory standards. It bridges the gap between high-level RAI principles and practical implementation, offering a nuanced understanding of AI accountability.

## Critiques
1. The practical implementation of these metrics across diverse organizational contexts could be challenging.
2. The need for continuous evolution of the framework to keep pace with the rapidly changing landscape of AI and legal standards.

## Tags
#AI #Accountability #GenAI #RAI #EthicalAI #Governance #RiskManagement.