2017/03/29 by Simon Šuster, Šuster, Simon, Stéphan Tulkens +3 · 1 citation
Computer Science · #Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences #cs.CL #cs.CY
paper · pdf · doi:10.48550/arxiv.1703.10090
First Workshop on Ethics in Natural Language Processing (EACL'17)
arxiv created 2017/03/29 · arxiv updated 2017/03/30
Clinical NLP has an immense potential in contributing to how clinical practice will be revolutionized by the advent of large scale processing of clinical records. However, this potential has remained largely untapped due to slow progress primarily caused by strict data access policies for researchers. In this paper, we discuss the concern for privacy and the measures it entails. We also suggest sources of less sensitive data. Finally, we draw attention to biases that can compromise the validity of empirical research and lead to socially harmful applications.