Ethical issues in AI for bioinformatics and chemoinformatics:

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 a...

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Bibliographische Detailangaben
Weitere Verfasser: Pathak, Yashwant (HerausgeberIn), Saikia, Surovi (HerausgeberIn), Pathak, Sarvadaman (HerausgeberIn)
Format: Buch
Sprache:English
Veröffentlicht: Boca Raton ; London ; New York CRC Press, Taylor & Francis Group 2024
Ausgabe:First edition
Schlagworte:
Zusammenfassung: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
Beschreibung: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
Beschreibung:xi, 211 Seiten Illustrationen 570 gr
ISBN:9781032396583
9781032405827

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