A5019088056- Corporate Management and Leadership
- Corporate Governance and Management
- Ethics in Business and Education
- Management and Organizational Studies
- Corporate Social Responsibility and Sustainability
- Economic and Social Issues
- Artificial Intelligence in Healthcare and Education
- Religion, Theology, History, Judaism, Christianity
- Management, Economics, and Public Policy
- Philosophical Ethics and Theory
- War, Ethics, and Justification
- Religion, Theology, and Education
- Ethics and Social Impacts of AI
- Public Administration and Political Analysis
- Regulation and Compliance Studies
- Experimental Behavioral Economics Studies
- FinTech, Crowdfunding, Digital Finance
- Cardiac Arrest and Resuscitation
- Ethics in medical practice
- Outsourcing and Supply Chain Management
- University-Industry-Government Innovation Models
- Disaster Response and Management
- Cutaneous Melanoma Detection and Management
Goethe University Frankfurt
2021
Ludwig-Maximilians-Universität München
2017
Technical University of Munich
2014
This paper documents how an ethically aligned co-design methodology ensures trustworthiness in the early design phase of artificial intelligence (AI) system component for healthcare. The explains decisions made by deep learning networks analyzing images skin lesions. trustworthy AI developed here used a holistic approach rather than static ethical checklist and required multidisciplinary team experts working with designers their managers. Ethical, legal, technical issues potentially arising...
Artificial Intelligence (AI) has the potential to greatly improve delivery of healthcare and other services that advance population health wellbeing. However, use AI in also brings risks may cause unintended harm. To guide future developments AI, High-Level Expert Group on set up by European Commission (EC), recently published ethics guidelines for what it terms “trustworthy” AI. These are aimed at a variety stakeholders, especially guiding practitioners toward more ethical robust...