31 December 2020
Webinar: "Don't sue me, sue the Robot!": Arbitrating Artificial Intelligence Liability Disputes
Opening Speech by Dr. Zvi Marom, President, Israeli High-Tech Association
Shaun Leong, FCIArb, Partner, Withers KhattarWong
Prof. Hadas Gelander, Partner, Ernst & Young
Jacob Enoch, Partner, M. Firon & Co
Paul Yee, Global Legal Director, SenseTime
“Don’t sue me, sue the Robot!”: Arbitrating Artificial Intelligence Liability Disputes
Issues and perspectives along the Digital Silk Road; from Tel Aviv to Singapore
Israel is among the world’s top three countries operating in the field of artificial intelligence (A.I.), following the United States and the People’s Republic of China, and we are pleased to have prominent speakers from Israel join us for this webinar.
A robo-advisor causes a high net worth investor to suffer millions in losses. An A.I. system mis-diagnoses a small issue as terminal, and recommends and executes treatment that was unnecessary, and which aided in the expedition of aggressive cell mutation leading to death. A self-driving car un-attuned to local driving practices causes a chain collision on a highway.
Who is responsible for A.I.‘s mistakes? A simple question to ask, but one that brings with it a multitude of complexities where any one of these or more could be liable at the same time: the decision maker in collecting, formatting and cleansing data and datasets, the algorithm scientist, the model developer and selector, the A.I. developer, programmer, software designer, software engineer, machine manufacturer, the integrator service provider, the maintenance company, or perhaps even the user itself in considering the extent of contributory negligence. The insurer would obviously have a key role to play. The Singularity evangelists may advocate that it is the A.I. itself that would be liable (a necessary narrative if A.I. is to have “rights” in the future), perhaps foreshadowing a whole new sub-sector in the insurance industry cover A.I. liabilities.
With the rapid adoption of A.I. technologies and proliferation of algorithmic decision making in place of human decision making, the prospect of A.I. making mistakes or failing to perform as predicted increases. Sometimes, the consequences of such failures could be little and all it takes is a simple reboot. At times, failures could result in economic losses or even loss of life. It is expected that significant incidences of A.I. liability and disputes will increase in the coming years.
These disputes could be resolved by confidential international arbitration via a post-dispute arbitration agreement, where tech companies prefer not to have their proprietary inventions dissected before the public eye of rivals in open court, and where class action victims from different jurisdictions crave for remedies to be internationally enforceable.
Join us as our speakers consider these issues and the strategic maneuvers to expect in the face of such disputes, and more!
To register, please click here.
Jan 21, 2021 04:00 PM in Singapore
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