Machine Learning for Business Analytics

Chapter 13 Digital Ethics: Toward a Socially Preferable Development of AI Systems

C. Guzmán-Velásquez and J. G. Lalinde-Pulido

DOI: 10.4324/9781003206316-13

Contents

13.1 Introduction

13.1.1 Introduction

13.2 The Role of Data and Algorithms in Today’s Digital Societies

13.2.1 Data in Digital Economies

13.2.2 Artificial Intelligence, a Look Beyond the Technical Paradigm

13.3 Digital Ethics: Its Nature and Scope

13.3.1 Ethics of Artificial Intelligence

13.3.1.1 Ethics as a Service: Ethical Orientation for the Design of Socially Preferable AI

13.3.1.2 Ethics-Based Auditing as a Governance Mechanism for Artificial Intelligence

13.4 Conclusions

References

13.1 Introduction

13.1.1 Introduction

Every scientific discipline generates a discourse ...