Communicating Ethics across the AI Ecosystem

21 Pages Posted: 30 Jul 2021

See all articles by Josephine Seah

Josephine Seah

Singapore Management University - Centre for AI & Data Governance

Mark Findlay

Singapore Management University - Yong Pung How School of Law; Singapore Management University - Centre for AI & Data Governance

Date Written: July 29, 2021

Abstract

Artificial Intelligence (AI) and machine learning (ML) are becoming increasingly ubiquitous in our everyday lives. Relative to the pace of these developments, debates around responsible AI and AI governance are still in the process of maturing. In this paper, we outline the growth of the ethical AI movement internationally and nationally to situate the growth and significance of CAIDG’s Ethics Hub Initiative. We touch on open questions in the field and discuss how these questions fed into the trajectory of the Hub’s research questions and its methodologies. The paper also reflects on the empirical exercises piloted and charts how our research questions developed and changed over time; along the way, we identified themes of power and resource differentials as well as communication breakdowns which shaped the latter stages of our project. Given the nature of our pilot project, our findings are not by any means indicative and generalisable of the field in Singapore – nonetheless, they represent a meaningful snapshot of how debates around ethical AI and its operationalisation are playing out in Singapore, and beyond. Ultimately, we encourage more focused research on the development and design of institutional incentive mechanisms to foster greater cohesion around responsible AI development and deployment norms.

This paper joins an emergent empirical literature in addressing gaps between responsible norms and practical realities of deployment. The work summarised here will be of interest to policymakers, academics, and practitioners working on AI/ML, data ethics and governance.

Keywords: ethical AI, responsible AI, responsible innovation

Suggested Citation

Seah, Josephine and Findlay, Mark James, Communicating Ethics across the AI Ecosystem (July 29, 2021). SMU Centre for AI & Data Governance Research Paper No. 07/2021, Available at SSRN: https://ssrn.com/abstract=3895522 or http://dx.doi.org/10.2139/ssrn.3895522

Josephine Seah

Singapore Management University - Centre for AI & Data Governance ( email )

55 Armenian Street
Singapore
Singapore

Mark James Findlay (Contact Author)

Singapore Management University - Yong Pung How School of Law ( email )

55 Armenian Street
Singapore, 179943
Singapore

Singapore Management University - Centre for AI & Data Governance ( email )

55 Armenian Street
Singapore
Singapore

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
128
Abstract Views
584
rank
319,677
PlumX Metrics