Ethical Issues in AI for Bioinformatics and Chemoinformatics - Drugs and the Pharmaceutical Sciences

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