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Tag: artificial intelligence

People: Andrew Arruda

Reading time: 3 minutes

Interviewed by Josh Lee | Edited by Samuel Lim

Andrew Arruda is the CEO and co-founder of ROSS Intelligence, the successful legal technology company that harnesses AI and natural language processing to enhance lawyers’ research capabilities on the ROSS research engine. Recognised as an inspiring legal mind in the field of AI, Andrew made the Forbes 30 under 30 list in 2017. He recently visited Singapore to deliver the closing keynote speech at TechLaw.Fest 2018, a legal technology conference that brought together the best minds in law and technology.

LawTech.Asia, a media partner of TechLaw.Fest, is honoured to have Andrew share with us the traits of a good legal technologist and the future use of AI in the legal industry.

The Future of Law Conference 2017: Charting the Converging Paths of Law and Technology

Reading time: 4 minutes

Written by Amelia Chew & Jerrold Soh

Editor’s note: This article was originally published on Singapore Law Blog. We would like to thank Singapore Law Blog for graciously allowing us to reproduce this article on this site for our readers.

Jointly organised by the Centre for Cross-Border Commercial Law in Asia at the Singapore Management University (SMU) School of Law and Osborne Clarke, the inaugural Future of Law Conference that took place from 26 to 27 October 2017 brought together leading academics and practitioners from around the world to tackle issues at the intersection of law and technology. This article provides but a snippet of the insights discussed at the conference.

The Relationship Between Humans & Artificial Intelligence

In his opening keynote speech, Professor Ian Kerr (University of Ottawa) spoke about the ethical and legal concerns surrounding delegating previously exclusively-human decisions to machines. Given that we are only at the stage of artificial narrow intelligence (ANI) at the moment, the concern is less about a dystopian future where robots may potentially overthrow humans and more about how we can manage the relationship between artificial intelligence (AI) and humans. As an increase in machine autonomy correlates with a decrease in human control, it is crucial to establish safeguards to deal with a situation where a machine demonstrates emergent behaviour.

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