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Full Description
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
Contents
Chapter 1: Artificial Intelligence and Ethics: Challenges and Opportunities
Chapter 2: Basic ethical issues in Bioinformatics and Chemoinformatics
Chapter 3: The Ethical Responsibility and Reasoning for Using AI in Big Data
Chapter 4: Ethical Theories in AI: A Machine Learning Context
Chapter 5: Leave One out Cross-Validation in Machine Leaning
Chapter 6: Ethical Issues and artificial intelligence technologies in bioinformatics concerning
behavioural and mental health care
Chapter 7: Practicing medicine and ethical issues applying artificial intelligence
Chapter 8: Cybersecurity and Intraoperative Artificial Intelligence Decision support: Challenges and Solutions Related to Ethical Issues
Chapter 9: Artificial intelligence and robots in individuals' lives: how to align technological possibilities and ethical issues
Chapter 10: Ethical Issues using AI in the field of Pediatrics
Chapter 11: Understanding Data Analysis & Why Should we do it?
Chapter 12: Disease Diagnostics, Monitoring and Management by Deep Learning: A Physician's Guide on Ethical Issues in NMR Medical Imaging Clinical Trials
