Given the data-intensive nature of approaches such as machine learning, and the increasing ubiquity of AI in everyday products and services, there is a growing interest within the privacy community to understand its implications. At the same time, a tremendous amount of innovation and entrepreneurship in the AI space is emerging from Asia and Latin America, not just western economies, to address local challenges. This global roundtable focused on trust, which is essential to the relationship between governments and citizens, companies and users, as well as amongst users. As a concept fundamentally intertwined with privacy, while also being essential to social good and commerce, it is integral to the development of AI. This roundtable explored barriers to trust, and solutions to address them, deriving from multiple disciplines
The speakers participating in the round-table included:
- Dr. Carlos Affonso Souza – Institute for Technology and Society of Rio de Janeiro, Brazil
- Dr. Urs Gasser – Berkman Klein Center for Internet and Society, Harvard University, USA
- Dr Tatsuya Kurosaka, Keio University, Japan
- Dr. Danit Gal, Peking University, China
- Dr Suresh Venkatasubramanian, University of Utah, USA
- J Carlos Lara, Derecho Digitales, Chile
- Frederike Kaltheuner, Privacy International, UK
- Malavika Jayaram, Digital Asia Hub, Hong Kong
- Toshiki Yano, Google, Japan
- Michael Veale, University College London, UK
This roundtable was was on official side event hosted by Digital Asia Hub at the 39th International Conference of Data Protection and Privacy Commissioners (ICDPPC) summit on 27 September, 2018, in Hong Kong
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