Wednesday, December 19, 2018
Governance of Big Data and Artificial Intelligence : Economic, Legal and Political Perspectives 6-7 June 2019, Tilburg, The Netherlands
Governance of Big Data and Artificial Intelligence:
Economic, Legal and Political Perspectives
6-7 June 2019, Tilburg, The Netherlands
Tilburg Law and Economics Center (TILEC) and the Governance and Regulation Chair (GovReg) at University Paris-Dauphine | PSL Research University are pleased to announce the 5th Governance workshop
Scientific background and goal of the workshop
Datafication has massively influenced processes within organizations, on markets, and more generally throughout society. Machine learning pushes the loop between data accumulation and innovation even further. After four economic governance workshops that focused on the role of competition (in 2010), organizations (in 2013), social preferences (in 2015), and data-driven markets (in 2017), respectively, we now strive to stimulate the debate about the economic, political, legal, and social effects of big data and artificial intelligence.
As a case of special focus, algorithm-driven platforms such as social media, search engines, and news aggregators have become dominant players in news dissemination.
This has transformed the media sector and the way we think about democratic political elections and the legitimacy of those elections’ outcomes, with yet unknown consequences for our political systems and for many markets that are tipping towards the technological leader.
These developments challenge our rules of the game: are Western institutions, formal and informal, set up appropriately to ensure fair competition among firms, innovators, politicians, or political parties? What does it mean for competition law, privacy and data access laws, international treaties, election commissions’ procedures, and the codes of conduct on online platforms if most of us can be traced and monitored most of the time – but these masses of data can only be accessed, worked with, and potentially be manipulated by a few parties? Are we heading towards a future with virtually unbounded opportunities and progress for humanity – or towards a setting, where the state or large private actors control every aspect of life and the net profits of global technological progress are enjoyed by very few very rich and influential individuals?
Combining approaches from (institutional) economics, political science, and law, the goal of this workshop is threefold:
- What problems are specific to data-driven markets? What is the theory of harm, that is, what are the problems limiting optimal solutions? What are the underlying mechanisms that lead to the potential harm identified? A special focus of this workshop is the impact of big data and AI on politics, both in democracies and in autocracies.
- In sectors where a theory of harm can be carved out, is there a need for intervention in political landscapes, markets, or even international relations? What kind of interventions might solve or mitigate the problems identified? Or is it best to leave innovation infrastructures untouched, even if market failures and election rigging were identified, and rely on competitive forces to solve the problems?
- If intervention is needed in one sector, what is the best way of intervention to tackle which problem? How should data-driven political systems or markets be governed? By national or supranational regulation (public ordering)? Or by self-governance of citizens or industry-participants in some form (private ordering)? Should behavior be monitored by private associations or public-private partnerships? What are critical elements for the corporate governance structure of monitoring or regulatory bodies?
The Governance and Regulation Chair at the University Paris-Dauphine | PSL (GovReg) and the Tilburg Law and Economics Center (TILEC) are joining forces for a two-day workshop to discuss topics related to these goals.