Related references
Note: Only part of the references are listed.AI and the path to envelopment: knowledge as a first step towards the responsible regulation and use of AI-powered machines
Scott Robbins
AI & SOCIETY (2020)
Human behaviour with automated driving systems: a quantitative framework for meaningful human control
Daniel D. Heikoop et al.
THEORETICAL ISSUES IN ERGONOMICS SCIENCE (2019)
Moving Beyond Semantics on Autonomous Weapons: Meaningful Human Control in Operation
Merel Ekelhof
GLOBAL POLICY (2019)
AI4People-An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations
Luciano Floridi et al.
MINDS AND MACHINES (2018)
Meaningful Human Control over Autonomous Systems: A Philosophical Account
Filippo Santoni de Sio et al.
FRONTIERS IN ROBOTICS AND AI (2018)
Dermatologist-level classification of skin cancer with deep neural networks
Andre Esteva et al.
NATURE (2017)
Machine Learning for Medical Imaging1
Bradley J. Erickson et al.
RADIOGRAPHICS (2017)
Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation
Sandra Wachter et al.
INTERNATIONAL DATA PRIVACY LAW (2017)
Machine learning approaches in medical image analysis: From detection to diagnosis
Marleen de Bruijne
MEDICAL IMAGE ANALYSIS (2016)
Mastering the game of Go with deep neural networks and tree search
David Silver et al.
NATURE (2016)
Forecasting Domestic Violence: A Machine Learning Approach to Help Inform Arraignment Decisions
Richard A. Berk et al.
JOURNAL OF EMPIRICAL LEGAL STUDIES (2016)
Machine learning: Trends, perspectives, and prospects
M. I. Jordan et al.
SCIENCE (2015)
Machine learning capabilities in medical diagnosis applications: computational results for hepatitis disease
Joydip Dhar et al.
INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOGY (2015)