AI and Society
portes grátis
AI and Society
Tensions and Opportunities
El Morr, Christo
Taylor & Francis Ltd
10/2024
312
Mole
9781032198705
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
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?
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?
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
machine learning;Internet of things;philosophical;ethical;legal;social;AI Technology;health;AI System;mutli-disciplinary;AI Application;Recommender Systems;Ai Algorithm;EHRs;Algorithmic Biases;Big Data;Dt;PSM Organization;Contemporary Society;Artificial Intelligence;UN;General Data Protection Regulation;Algorithmic Contracts;Ai Developer;Natural Language Processing;PSM Institution;Violating;SVM;Compass Project;Ai Safety;Standard Form Contracts;Algorithmic Systems;Translational Ethics
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?
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?
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
machine learning;Internet of things;philosophical;ethical;legal;social;AI Technology;health;AI System;mutli-disciplinary;AI Application;Recommender Systems;Ai Algorithm;EHRs;Algorithmic Biases;Big Data;Dt;PSM Organization;Contemporary Society;Artificial Intelligence;UN;General Data Protection Regulation;Algorithmic Contracts;Ai Developer;Natural Language Processing;PSM Institution;Violating;SVM;Compass Project;Ai Safety;Standard Form Contracts;Algorithmic Systems;Translational Ethics
