Table of Contents:
  • Chapter 1: The Human Factors of AI
  • Where are we now and where are we headed? Lessons learned from AI in HealthcareChapter 2: AI and Safety in HealthcareChapter 3: The Politics of Artificial Intelligence in Healthcare: Diagnosis and TreatmentChapter 4: AI Impact: Social and Legal Aspects Analysis of the impact of algorithms in siloing users: special focus on YouTubeChapter 5: Affective Change through Affective AIChapter 6: AI Lenses: Citizens' Guide to the Futures with Citizen Digital TwinsChapter 7: Artificial Intelligence in the sports industryChapter 8: The Use of AI by Public Service Media: Between Advantages and ThreatsChapter 9: Tackling bias in AI and promoting responsible research and innovation: Insights from discussions with different stakeholdersChapter 10: Promises and Bargains: The Emerging Algorithmic ContractChapter 11: Artificial Intelligence, Law and VulnerabilitiesChapter 12: AI Biases: a scoping reviewChapter 13: AI & Ethics: an approach to building ethical by design intelligent applicationsChapter 14: AI-driven IoT Systems and Corresponding Ethical IssuesChapter 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 informationChapter 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?