Ethical Issues in AI for Bioinformatics and Chemoinformatics (eBook, PDF)

Redaktion: Pathak, Yashwant V.; Prajapati, Jigna Bhupendra; K. Patel, Jayvadan; Pathak, Sarvadaman; Saikia, Surovi

• Format: PDF

Produktbeschreibung

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

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 224
• Erscheinungstermin: 14. November 2023
• Englisch
• ISBN-13: 9781000996043
• Artikelnr.: 69043525

Autorenporträt

Dr. Yashwant Pathak has over 9 years of versatile administrative experience in an academic setting as Dean (and over 17 years as faculty and as a researcher in higher education after his Ph.D) and has worked in student admission, academic affairs, research, graduate programs, Chair of the International Working group for USF Health (consisting of USF Medical, Nursing, Public Health, Pharmacy and Physiotherapy colleges), Director of Nano Center and now holds the position for Associate Dean for Faculty Affairs. Dr. Pathak is an internationally recognized scholar, researcher and educator in the areas of Health care education, Nanotechnology, Drug Delivery Systems and Nutraceuticals. Dr Pathak has edited several books in the field of Nanotechnology (Springer) and Drug Delivery Systems (CRC Press), Antibody mediated drug delivery systems (John Wiley and Sons) and in the field of Nutraceuticals (Taylor and Francis), Artificial neural network(Elsevier) and conflict resolution and cultural studies, with over 300 research publications, reviews, chapters, abstracts and articles in educational research. He has authored many popular articles published in newspapers and magazines. He fluently speaks many languages and was trained and taught in English all through his career. Dr. Surovi Saikia works as a Dr. DS Kothari Postdoctoral Fellow at the Department of Biotechnology, Bharathiar University, Coimbatore. She has completed her Ph.D (Bioinformatics) from Dibrugarh University, Assam in 2020 and UG and PG from Tinsukia college and Dibrugarh University. She has 8 years of research experience with 18 publications in peer reviewed national and international journals. Currently, she is working on algorithmic based computational work. Research Experience: * Dr. D.S Kothari Postdoctoral Fellow at Bharathiar University, Coimbatore, Tamil Nadu from 23/11/2021 till date * Senior Research Fellow-NFST Fellowship for PhD at CSIR-NEIST, Natural Product Chemistry Group, Jorhat, Assam from 01/06/2018 to 01/10/2020 * Junior Research Fellow-NFST Fellowship for PhD at CSIR-NEIST, Natural Product Chemistry Group Jorhat, Assam from 01/06/2016 to 31/05/2018 * Project Fellow- at CSIR-NEIST, Natural Product Chemistry Group, Jorhat, Assam from 08/04/2013 to 31/05/2016 * DBT-studentship at CSIR-NEIST, Biotechnology Division from 02/07/2012 to 02/01/2013 Dr Sarvadaman Pathak 2016 - 2017 Global Clinical Scholars Research and Training Program. Harvard Medical School, Boston MA. A master's level program which, provides clinicians and clinician-scientists advanced training in the methods and conduct of clinical research. The program also covers data analysis techniques using STATA, and access to datasets from various NIH trials. * 2013 - 2014 - Post-Doctoral Fellowship, in Traditional Chinese Medicine with a focus on Integration of Eastern and Western Medicine, Dalian Medical University, Dalian, P.R. China * 2007 - 2011 - Doctor of Medicine (M.D.), Summa Cum Laude, Avalon University School of Medicine, Bonaire, Netherlands Antilles (Caribbean Island) * 2004 - 2007 - Pre-Medicine/Pre-Pharmacy Track, University of Houston, Houston, TX. Professional Experience includes: 2021 - Present Chief Medical Officer, HIPAA compliance officer, Universiti LLC - A cloud-based healthcare provider focusing on behavioral and mental healthcare delivery using AR/VR and AI technology Dr. Jayvadan Patel is a Formulation Scientist at Aavis Pharmaceuticals, USA and Professor Emeritus, Faculty of Pharmacy, Sankalchand University, India. He has has more than 26 years of research, academic, and industry experience. Dr. Jayvadan has published 270 research papers, presented 52 papers, both in India and abroad, and holds one patent jointly, and three are filed. He has co-authored 20 books and contributed 116 chapters to a book published in the USA. His papers have been cited more than 5200 times, with more than 27 papers getting more than 50 citations each. He has a 35 h-index and 123 i10-index for his credit. Department of Science and Technology, Ministry of Science and Technology, Government of India has published International Comparative Research Base (2009-14) and Dr. Patel has been put in an honors list of 4th Rank of the Top 10 authors in the subject area Pharmacology, Toxicology, and Pharmaceutics. His 16 projects are worth more than Rs. 2.2 Crore are funded by government agencies and industries. He has guided 106 M. Pharm students and mentored 46 Ph.D. scholars and presently guiding 8 more for their doctoral theses. He is already decorated with a dozen awards and prizes, both national and international. He is the recipient of the very prestigious "AICTE-Visvesvaraya Best Teachers Award-2020" by the All India Council for Technical Education, Government of India, and the APTI-young pharmacy teacher award (2014) by the Association of Pharmaceutical Teachers of India. He is a member of many professional bodies/universities/councils and boards. Dr. Jigna Prajapati has rich experience of 17 years in academia, research and IT industry, holding Doctorate in Computer Science. She claims on her name more than thirty international & national publication. She has secured many best paper awards in international & national Conferences in research category. Beside Assistant professor she is Motivator, Online and Offline Trainer & counsellor. Leading a team which involves work of Infrastructure/ Academic Planning & Development, Network Design & Management, Examination, Key Administration & Research. She is actively working in field of Artificial Intelligence & Machine Learning focusing on healthcare. her expert domains are as artificial intelligence, machine learning, software engineering & emerging technologies. She works on research projects that explore new techniques and methods in their area of Machine learning and collaborates with other researchers both within their institution and around the world. She has played an important role in educating the next generation of computer scientists. She has also mentor 5000+ students who are working on various projects, helping them to develop their skills and explore new areas of computer science. She has delivered 11 invited session/hands-on in various conference, seminar and workshop. Area Of Interest: Software Fault Tolerance, Data mining, Artificial Intelligence, ML classification, AI in Healthcare

Inhaltsangabe

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