|[세미나] Explaining the Punishment Gap of AI and Robots - 차미영 교수 (KAIST)|
o 일정 및 장소
- 일시: 2019.10.15(화) 16:00~
- 장소: N1건물 110호
Title: Explaining the Punishment Gap of AI and Robots
The European Parliament’s proposal to create a new legal status for AI and robots brought into focus the issue of electronic legal personhood. The discussion, however, is hugely controversial. While some scholars believe that the proposition could contribute to the coherence of the legal system, others argue that it is neither beneficial nor desirable. Notwithstanding the prospect, we conducted a survey (N=3315) on people’s perception of the legal personhood of AI and robots. We observed how participants assigned responsibility, awareness, and punishment to AI, robots, humans, and various entities that could be held liable under existing doctrines. We also asked participants whether they think that punishing electronic agents—AI and robots—fulfills the same legal and social functions of human punishment. Results suggest that even though people do not assign any mental state to electronic agents and are not willing to grant AI and robots physical independence or assets, which are the pre-requisites of criminal or civil liability, people consider them responsible for their actions and worthy of punishment. Participants also do not think that their punishment or liability succeeds in achieving its primary functions, leading to what we define as the punishment gap. Therefore, before we recognize electronic legal personhood, we must first discuss proper methods that satisfy the general population’s demands for punishment. Also, in agreement with the results showing similar liability assignment across various entities, we also propose liability assignment to be more distributed among all of the entities involved in the deployment of AI and robots.
Meeyoung Cha is an associate professor at the School of Computing in KAIST. Dr. Cha’s research interests are in analyzing complex network systems, including web and social media. Her research in the field of data science, artificial intelligence, and computational social science has gained more than 12,000 citations based on Google Scholar and has received best paper awards at ACM IMC and ICWSM. Dr. Cha is currently in the editorial board member of PeerJ and ACM Transactions on Social Computing, and she has served as a program co-chair for ICWSM 2015. Dr. Cha has worked at Facebook's Data Science Team as a Visiting Professor in 2015-2016. Since 2019, she is jointly affiliated with the Institute for Basic Science (IBS) in Korea as a Chief Investigator.