Symposium on Machine Learning

Machine Learning: Formulating an Innovation Policy for the 4th Industrial Revolution

Call For Expressions of Interest

What if we could design machines that learn, adapt and create new knowledge in a way that could be used to address many pressing and future health, transport and energy concerns?

Machine learning, big data and artificial intelligence hold out the prospect for innovation and help realize economic, social and welfare goals. The implications for policy, investment and regulations are complex and at present uncertain. If the potential of machine learning is to be realized, we need to engage with not only its benefits but risks and unintended consequences.

Three areas can be identified where there is a pressing need to increase greater awareness and understanding of machine learning algorithms, autonomous systems and artificial intelligence:

  1. As volumes of data are collected to address health, transport, energy and public services issues, we may need to reassess the role of privacy and data protection law.
  2. The design of autonomous systems and intelligent machines will enable machines to develop new knowledge and prediction capabilities, and as a consequence, may require a re-assessment of how we think about rules, laws and regulations.
  3. More broadly, at a societal level, as algorithms and smart communication platforms make available to industry, governments and local authorities considerable resources to create a “good society”, its implications for local and national democracy are unclear and not fully understood.

This is an initial Call For Expressions of Interest to participate in the Symposium on Machine Learning, to present relevant scholarly and practical experience, which have policy relevance.

The 1 Day Symposium on 11th July at the University of Liverpool is intended to contribute to the consultation recently initiated by the Royal Society in its Machine Learning Project against the background of public anxiety and uncertainty regarding the impact of new technologies and Big Data on our lives and activities. The talks and exchange of views are designed to promote an inter-disciplinary approach towards innovation and help ground better understanding of policies and research that will drive innovation while ensuring that citizens’ fundamental rights are not eroded.

The following information will be required in respect of expressions of interest:

1. Panel

2. Scholarly and Policy Papers

We ask all prospective contributors to keep in mind that the Symposium will be of an inter-disciplinary nature.

Please send all communications to: Joseph Savirimuthu, Senior Lecturer in Law at