2nd Annual Surrey Workshop on Regulating AI: They Took Our White-Collar Jobs
March 21–22, 2019
School of Law, Moot Room
University of Surrey
- Website: https://sites.google.com/view/surrey-ai-workshop/
- Submission: By email to firstname.lastname@example.org (abstract of < 300 words)
- Abstract Deadline: 1 February 2019
- Author Notification: 15 February 2019
- Registration Deadline: 1 March 2019
Artificial intelligence (AI) is not just for manual labor, it is now doing the work of doctors, scientists, and lawyers. For example, document review, once a staple of first year associate work at corporate law firms, is being automated. AI systems are being developed that aggregate caselaw and predict case outcomes with greater accuracy than human legal experts. Chatbots driven by machine learning are being developed to deliver legal advice to consumers. Smart contracts are providing innovative solutions to technical problems, and AI-driven adjudication mechanisms already exist, such as for routine legal questions involving employment status.
AI will profoundly change how white-collar professions operate, and the way we govern ourselves by law. For instance, in law, if AI ends up predicting case outcomes with super-human reliability and can be left to adjudicate routine forms of legal disputes, will people obey robot judges? Do machines have the necessary authority in our legal system to serve their function? If AI ends up taking over the routine legal work that used to be done junior associates, will law firms need to alter their business models?
The aim of the Second Annual Surrey Workshop on the Regulation of Artificial Intelligence is to explore questions like these. The workshop will adopt an interdisciplinary focus, encouraging innovative theoretical and technical approaches as well as concrete and practical legal and regulatory solutions.
Topics of Interest
The workshop will focus on six main areas, with a range of speakers invited to present papers falling within one or several of the following topics:
- AI and white-collar automation
- AI as adjudicator
- AI and legal prediction
- AI and insurance
- AI and government & public discourse
Chair: Prof. Ryan Abbott, Professor of Law and Health Sciences, School of Law
Deputy Chair: Dr. Alex Sarch, Reader in Legal Philosophy, School of Law
Two days, 3-4 papers per day. Each paper to be assigned a commentator. Each paper to be presented for 30-45 minutes, followed by 15-20 minutes of comments, followed by 30-45 minutes of Q&A and discussion.
If you are interested in participating in this workshop, please submit an abstract of no more than 300 words. All submitted abstracts will be reviewed by the workshop organizers. You should submit your work by email to email@example.com.