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Inhaltsverzeichnis
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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