The current status quo of how platforms obtain and use individual information leaves individuals vulnerable to a host of information misuses, and denies them fair compensation for the contributions they make to the information-based economy. It also entails risks for society, including chilling effects on speech, discrimination, political manipulation, and amplified harms to underrepresented communities. The two workshops we propose to hold will bring together researchers from multiple disciplines: computer science, law, economics, ethics, social science, and more, to discuss these risks and to seed collaborations towards developing interventions that address these risks.
In particular, the workshop will focus on introducing a new layer between users and platforms - data co-ops - that would leverage collective negotiation power and novel technologies to enable individual members to express their preferences with respect to the usage of their information; to compute over its individual members’ information while preserving privacy and security; to negotiate, oversee, and enforce the terms of outsiders' use of the data (including any compensation); and to redistribute value back to data co-op members. We will also discuss how co-ops could serve the interest of groups and of society.
Goals of the workshop:
- Identifying existing and novel research directions in support of data co-ops, highlighting both inter- and intra-disciplinary directions.
- Expanding the set of researchers who are exposed to the relevant research problems. In particular, bringing interested PhD Students and postdoctoral fellows into the discussion.
- Coalescing clusters of researchers around a number of research sub-themes, and generating research agendas and action plans for each of these research clusters.
9am-11am opening perspectives talks, from a variety of disciplines
11am-1pm curated debates on various aspects of co-op design
1pm-3pm working lunch: working groups develop research agendas
3pm-5pm working groups report back; wrap-up discussion