Toward an Understanding of Responsible Artificial Intelligence Practices

TLDR

Artificial Intelligence is reshaping human and business activities, yet there is an urgent need to understand how to design AI responsibly to meet stakeholder expectations and regulatory requirements. This study aims to explore responsible AI practices and identify the benefits of implementing them. The authors examined ten responsible AI cases across diverse industries to elucidate how responsible AI is applied in practice. They identified four responsible AI practices—governance, ethical design, risk control, and training—and proposed five adoption strategies for firms.

Abstract

Artificial Intelligence (AI) is influencing all aspects of human and business activities nowadays. Although potential benefits emerged from AI technologies have been widely discussed in many current literature, there is an urgently need to understand how AI can be designed to operate responsibly and act in a manner meeting stakeholders’ expectations and applicable regulations. We seek to fill the gap by exploring the practices of responsible AI and identifying the potential benefits when implementing responsible AI practices. In this study, 10 responsible AI cases were selected from different industries to better understand the use of responsible AI in practices. Four responsible AI practices are identified, including governance, ethically design solutions, risk control and training and education and five strategies for firms who are considering to adopt responsible AI practices are recommended.