ABSTRACT

This unique volume presents AI in relation to ethical points of view in handling big data sets. Issues such as algorithmic biases, discrimination for specific patterns and privacy breaches may sometimes be skewed to affect research results so that certain fields to appear more appealing to funding agencies. The discussion on the ethics of AI is highly complex due to the involvement of many international stakeholders such as the UN, OECD, parliaments, industry groups, professional bodies, and individual companies. The issue of reliability is addressed including the emergence of synthetic life, 5G networks, intermingling of human artificial intelligence, nano-robots and cyber security tools.

Features

  • Discusses artificial intelligence and ethics, the challenges and opportunities
  • Presents the issue of reliability in the emergence of synthetic life, 5G networks, intermingling of human artificial intelligence, nano-robots, and cyber security tools
  • Ethical responsibility and reasoning for using AI in Big Data
  • Addresses practicing medicine and ethical issues when applying artificial intelligence

chapter 1|11 pages

Artificial Intelligence and Ethics

Challenges and Opportunities

chapter 4|9 pages

Ethical Theories in AI

A Machine Learning Context

chapter 8|12 pages

Cybersecurity and Intraoperative Artificial Intelligence Decision Support

Challenges and Solutions Related to Ethical Issues

chapter 9|17 pages

Artificial Intelligence and Robots in Individuals' Lives

How to Align Technological Possibilities and Ethical Issues

chapter 12|34 pages

Disease Diagnostics, Monitoring, and Management by Deep Learning

A Physician's Guide in Ethical Issues in NMR Medical Imaging Clinical Trials