The Centre for Cross-Border Commercial Law in Asia (CEBCLA), School of Law, Singapore Management University, is proud to announce the Future of Law Conference: The Internet of Things, Smart Contracts and Intelligent Machines, to take place on 26 – 27 October 2017 in Singapore. 

The Future of Law Conference brings together the leading thinkers in academia and practice in the field of information technology law to discuss the legal and regulatory implications of recent technological developments. Over a period of 2 days, the Conference proceedings will focus on the Internet of Things (IoT), blockchain technologies, machine learning and AI. To what extent, if any, does the practical deployment of these technologies challenge the existing legal and regulatory framework? Will machine learning annihilate the legal profession? Will the Internet of Things blur the division between home and retail environment? Is technological progress synonymous with the end of privacy? Are new forms of consumer protection required? Are there reasons to be concerned and plan for immediate legal responses or is it more advisable to adopt a sit-and-wait approach? Laws and regulations can, after all, both enable and inhibit innovation. The opening keynote will be delivered by Professor Ian Kerr (Ottawa), who will speak on the legal implications of AI. The closing keynote will be delivered by Professor Roger Brownsword (KCL), who will address problems of machine learning.



When Als Outperform Humans:
The Delegation of Tasks and Decision-Making to Machines
We stand on the precipice of a world where robots and artificial intelligence (AI) outperform human experts in a range of complex tasks and decision-making that were once exclusively within the human domain. 
In this keynote address, Ian Kerr, Canada Research Chair in Ethics, Law and Technology, investigates robotic surgery, driverless cars, self-enforcing contracts, AI diagnostics, and autonomous weapons—raising questions about whether and under what circumstances we should substitute AIs and robots for humans.
Building on the important work of Professor Ryan Calo, Dr. Kerr focuses on three crucial characteristics of today’s AI: emergence, social valence and embodiment. Developing an understanding of these foundational concepts, he then interrogates some of the thorny ethical, legal and policy conundrums that will ensue across various sectors, including health, transportation, government, and the military. 
Machine Learning:
Regulatory Challenges, Regulatory Opportunities, and Regulatory Red Lines
Building on previous work, Professor Brownsword will consider three large regulatory matters raised by the dramatic emergence of machine learning technologies.
First, as with any emerging technology, regulators face the threefold challenge: (i) to support rather than stifle beneficial innovation; (ii) to make provision for an acceptable management of risks to human health and safety and the environment; and (iii) to respect fundamental community values. How are regulators to meet these desiderata, neither over-regulating nor under-regulating and regulating machine learning in a focused and sustainable way? 
Secondly, machine learning presents an opportunity to enhance the technological tools that are already available to regulators (identifying individuals and groups that are, respectively, ‘high risk’ or ‘low risk’ in some relevant respect). Is this an opportunity to be taken? How far will societies tolerate the employment of tools that are not entirely transparent, that involve ‘false positives’ and that might amplify existing biases? 
Finally, should there be any red lines with regard to the use of machine learning? It will be suggested that, at the very least, regulators should protect the essential preconditions for human social existence whatever the supposed benefits of new technologies.


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DAY 1 - 5 CPD points

DAY 2 - 6 CPD points


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Participants who wish to claim CPD Points must comply strictly with the Attendance Policy set out in the CPD Guidelines. Participants are reminded to sign in on arrival and sign out at the conclusion of each day of the event in the manner required by the organiser. Participants must not be absent for each day of the event for more than 15 minutes. Participants who do not comply with the Attendance Policy will not be able to obtain CPD Points for attending the activity. Please refer to for more information.