Textbook in PDF format

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 opportunitiesPresents the issue of reliability in the emergence of synthetic life, 5G networks, intermingling of human artificial intelligence, nano-robots, and cyber security toolsEthical responsibility and reasoning for using AI in Big DataAddresses practicing medicine and ethical issues when applying artificial intelligence
Preface
Editor Biographies
List of Contributors
Artificial Intelligence and Ethics: Challenges and Opportunities
Basic Ethical Issues in Bioinformatics and Chemoinformatics
The Ethical Responsibility and Reasoning for Using AI in Big Data
Ethical Theories in AI: A Machine Learning Context
Leave-One-Out Cross-Validation in Machine Learning
Ethical Issues and Artificial Intelligence Technologies in Bioinformatics Concerning Behavioural and Mental Health Care
Practicing Medicine and Ethical Issues Applying Artificial Intelligence
Cybersecurity and Intraoperative Artificial Intelligence Decision Support: Challenges and Solutions Related to Ethical Issues
Artificial Intelligence and Robots in Individuals’ Lives: How to Align Technological Possibilities and Ethical Issues
Ethical Issues Using AI in the Field of Pediatrics
Understanding Data Analysis and Why Should We Do It?
Disease Diagnostics, Monitoring, and Management by Deep Learning: A Physician’s Guide in Ethical Issues in NMR Medical Imaging Clinical Trials
Index