Christo El Morr

AI and Society (eBook, PDF)

Tensions and Opportunities

• Format: PDF

Produktbeschreibung

Artificial intelligence and machine learning are becoming more present in society today and are expected to become more pervasive in the future. This four-section book is a first to shed a critical light on AI use, addressing the health, social, legal, ethical, philosophical questions raised.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 326
• Erscheinungstermin: 8. Januar 2023
• Englisch
• ISBN-13: 9781000800319
• Artikelnr.: 66030990

Autorenporträt

Dr. Christo El Morr is an Associate Professor of Health Informatics, the Health Informatics Certificate

Coordinator, and former Undergraduate Program Director at the School of Health Policy and Management at York University; he is also a Research Scientist at North York General Hospital, Toronto.

His research subscribes in an Equity Informatics perspective; it covers Patient-Centered Virtual Care (e.g., chronic disease management, mental health), Global Health Promotion for equity (e.g., equity health promotion), Human Rights Monitoring (e.g., disability rights, bender-based violence), and Equity AI (e.g., patient readmission, disability advocacy).

As a theologian and a poet, his wider intellectual contribution to Social Justice subscribes in a defense of the human person against alienation, be it in the form of infringement of human freedom or dignity in face of irrational powers and exploitation. His intellectual work encompasses work of freedom from oppression (e.g., analysis of exclusive identities, communion and solidarity, freedom, liberation of reason), freedom from exploitation (e.g., analysis of illusions of freedom, political and religious exploitation), and freedom to celebrate life (e.g., poetry).

Inhaltsangabe

Chapter 1: The Human Factors of AI - Where are we now and where are we headed? Lessons learned from AI in Healthcare

Chapter 2: AI and Safety in Healthcare

Chapter 3: The Politics of Artificial Intelligence in Healthcare: Diagnosis and Treatment

Chapter 4: AI Impact: Social and Legal Aspects Analysis of the impact of algorithms in siloing users: special focus on YouTube

Chapter 5: Affective Change through Affective AI

Chapter 6: AI Lenses: Citizens' Guide to the Futures with Citizen Digital Twins

Chapter 7: Artificial Intelligence in the sports industry

Chapter 8: The Use of AI by Public Service Media: Between Advantages and Threats

Chapter 9: Tackling bias in AI and promoting responsible research and innovation: Insights from discussions with different stakeholders

Chapter 10: Promises and Bargains: The Emerging Algorithmic Contract

Chapter 11: Artificial Intelligence, Law and Vulnerabilities

Chapter 12: AI Biases: a scoping review

Chapter 13: AI & Ethics: an approach to building ethical by design intelligent applications

Chapter 14: AI-driven IoT Systems and Corresponding Ethical Issues

Chapter 15: Trustworthy Bioethicists within Lifecycles of Artificial Intelligence in Health

Chapter 16: Can an AI analyze arguments? Argument-checking and the challenges of assessing the quality of online information

Chapter 17: On The 21st Century Digital Toys: The Paradox of Data Literacy

Chapter 18: What is the value of a person when Artificial Intelligence can do all the work?

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Chapter 1: The Human Factors of AI - Where are we now and where are we
headed? Lessons learned from AI in Healthcare
Chapter 2: AI and Safety in Healthcare
Chapter 3: The Politics of Artificial Intelligence in Healthcare: Diagnosis
and Treatment
Chapter 4: AI Impact: Social and Legal Aspects Analysis of the impact of
algorithms in siloing users: special focus on YouTube
Chapter 5: Affective Change through Affective AI
Chapter 6: AI Lenses: Citizens' Guide to the Futures with Citizen Digital
Twins
Chapter 7: Artificial Intelligence in the sports industry
Chapter 8: The Use of AI by Public Service Media: Between Advantages and
Threats
Chapter 9: Tackling bias in AI and promoting responsible research and
innovation: Insights from discussions with different stakeholders
Chapter 10: Promises and Bargains: The Emerging Algorithmic Contract
Chapter 11: Artificial Intelligence, Law and Vulnerabilities
Chapter 12: AI Biases: a scoping review
Chapter 13: AI & Ethics: an approach to building ethical by design
intelligent applications
Chapter 14: AI-driven IoT Systems and Corresponding Ethical Issues
Chapter 15: Trustworthy Bioethicists within Lifecycles of Artificial
Intelligence in Health
Chapter 16: Can an AI analyze arguments? Argument-checking and the
challenges of assessing the quality of online information
Chapter 17: On The 21st Century Digital Toys: The Paradox of Data Literacy
Chapter 18: What is the value of a person when Artificial Intelligence can
do all the work?