The resolution of friction between personal sovereignty and the shared fruits of scientific and private research are a necessity as society accelerates into the digital age, one where observational technology enables connected marketplace, commerce, and government. This future will be heavily reliant on the utility of technology that observes and technology that algorithmically processes data that relates to people, things, and places, both for insight (knowledge discovery) and research (academic and commercial) and then make decisions lawfully based on that knowledge. This friction is very much in play in numerous legislative and regulatory proceedings. It has been exacerbated by the acceleration of observational technology. This session will discuss more nuanced approaches to fair governance of advanced analytics in an observational age.
• In an observational age, driven by algorithms, are there quick answers to what is framed as “surveillance capitalism”?
• Is a more nuanced approach that finds the equilibrium between knowledge discovery and individual sovereignty possible?
• Do we need a regulatory approach that measures risk based on the individual impactfulness of research and knowledge creation, versus the risks associated with decisions and actions?
• Does fairness require approaches that more evenly balance the full range of fundamental rights that come into play with knowledge creation?