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IELA
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Introduction to Ethics
Ethical Aspects of AI
Explainable AI & Ethics
Midterm Exam: Case Study
Introduction to AI & Law, applications and rules
Introduction to legal aspects - MDR Regulation (Azzini - Oct. 30, 2024)
Data driven decision making in medicine
Exame - Module B
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IELA
Ethical Aspects of AI
Jobin et al_Global landscape of AI ethics guidelines
Jobin et al_Global landscape of AI ethics guidelines
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Jobin et al_Global landscape of AI ethics guidelines.pdf
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◄ European Parliament_AI in Healthcare
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Announcements
Hildt: Presentation_Ethics Introduction
Amer_Understanding Ethical Theories in Medical Practice
Rich_Introduction to Ethics
Roger & Blackshaw_Introduction to ethical theory for healthcare assistants
Assignment for Oct 10: Ethical aspects of AI
Hildt: Presentation_Ethics Codes
ACM Code of Ethics and Professional Conduct
European Parliament_AI in Healthcare
In preparation for Oct 17: Please read the article by Amann et al.
Amann et al_ Explainability for AI in Healthcare
Explainability_Discussing Amann et al. 2020
Hildt: Presentation_Ethical aspects of AI explainability in medicine
Tachmazidis et al_Hybrid AI supporting diagnosis of ADHD
Zicari et al_ML as a supportive tool to recognize cardiac arrest in emergency calls
Meier et al_Algorithms for Ethical Decision-Making in the Clinic
Midterm Exam: Case Study - Instructions
Tachmazidis et al_Hybrid AI supporting diagnosis of ADHD
AI-based diagnosis for ADHD in adults - YouTube
AI-Enabled Assessment of Adult ADHD | Open Access Government
Stanford HAI
AI & Images
Stanford HAI - Fei Fei Li
Surden - AI and Law. Overview
ppt presentation
materials lecture 1 (Azzini - Oct. 30, 2024)
Lecture Recording Azzini Oct. 30,2024
Data-Driven Decision Making. Law Ethics, Robotics, Health
(Chapter) Data-driven and knowledge-driven decision-making in clinical medicine: the necessary approach, in Data-Driven Decision Making
LifeTime and improving European healthcare through cell-based interceptive medicine, Nature
Santosuosso, AI and decision-making: dilemmas of regulation and methodological implications
Examination - Module B
In preparation for Oct 17: Please read the article by Amann et al. ►