Implementing Ai Principles: Frameworks, Processes, and Tools

32 Pages Posted: 12 Feb 2021 Last revised: 1 Mar 2021

Date Written: February 10, 2021

Abstract

In recent years, a number of international organisations, regulators, governments, academics, and as well businesses have worked on developing principles of Artificial Intelligence (AI). Alongside the development of these principles, there is an on-going discussion on how to regulate AI in order to best align risk management with optimising potential value creation of these technologies. Risk managing AI systems will likely become a regulatory and social expectations requirement, for all sectors and for both business and government. However emphasis on how to implement the proposed AI principles and upcoming regulations in practice is more recent, and appropriate tools to achieve this still need to be identified and developed. For example, implementing so-called Responsible AI requires the development of new processes, frameworks and tools, among others. We review the current state and identify possible gaps.

Suggested Citation

Boza, Pal and Evgeniou, Theodoros, Implementing Ai Principles: Frameworks, Processes, and Tools (February 10, 2021). INSEAD Working Paper No. 2021/04/DSC/TOM, Available at SSRN: https://ssrn.com/abstract=3783124 or http://dx.doi.org/10.2139/ssrn.3783124

Pal Boza

INSEAD ( email )

Boulevard de Constance
77305 Fontainebleau Cedex
France

Theodoros Evgeniou (Contact Author)

INSEAD ( email )

Boulevard de Constance
77305 Fontainebleau Cedex
France

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