The dichotomic vision of artificial intelligence, which emerged during the last years, underlines both the benefits of machine learning in innovation and the negative consequences of AI on organizations and more globally on society. After an historical contextualization of digital transformation, this chapter first provides an understanding of the potential negative impacts of AI, second presents the concept of ethics and its application to AI systems, third describes different initiatives to tackle the issue of negative consequences of AI. It also illustrates the theoretical aspects of ethics in AI by analyzing current technologies presented at CES 2020 in Las Vegas. Finally, the chapter provides guidelines for managers to address the issue of ethics in AI, including metrics for corporate social responsibility.
Institutional Login
Log in with Open Athens, Shibboleth, or your institutional credentials
Personal login
Log in with your Elgar Online account
-
Front Matter
-
Part I: Human-centric AI
-
Part II: Business value
-
Part III: Ethical and societal value
